Data Engineer II/III

🏢 Summary: Development of an embedded robotics diagnostic system to improve reliability and maintainability of an autonomous robot fleet, including architecture of diagnostic frameworks and scalable data pipelines. The role focuses on translating sensor data and error logs into actionable health reports and accelerating root cause analysis. It involves close collaboration across hardware, infrastructure, and data teams to build robust diagnostic infrastructure. 🗂️ Requirements: BS or MS in Computer Science, Electrical Engineering, Robotics or related field, 3+ years experience developing diagnostics, monitoring or telemetry systems for robotics, embedded or electro-mechanical devices, Professional experience in software development for embedded systems or robotics, Experience designing data schemas and working with data ingestion pipelines, Strong understanding of robotics hardware and firmware failure modes, Experience with sensor interfaces and motor control systems, Ability to interpret hardware schematics and low-level system logs 📃 Skills: Rust, C++, CAN, I2C, Serial, USB, S3, Databases, MessageQueues, Telemetry, EmbeddedSystems, Robotics, Firmware, MotorControl, TimeSeries 🏢 Description: About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. Role Summary You will play a crucial role in the development and architecture of our next-generation robotics diagnostic system and improve the reliability and maintainability of the robotic fleet. You will architect the embedded diagnostic test structure,and translate complex sensor readings and error logs into actionable, easy-to-read health reports. Your work is expected to accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Data and Infrastructure teams, and the Operations team to build a robust, scalable diagnostic infrastructure. Key Responsibilities Design, implement, and maintain the diagnostic framework embedded in robotics software stack, enabling both autonomous and on-demand manual diagnostic scans. Contribute to the diagnostic data schema, ensuring efficient, standardized, and human-readable reporting of fault codes, event logs, and status checks. Ensure the scalability of the data schema, and optimize it for use by both on-robot systems and cloud-based analytics tools. Work closely with hardware and integration teams to develop embedded diagnostic tests that surface robot hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), battery, power or motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team and build the data pipeline responsible for reliably collecting, storing and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro-mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., Rust, C++) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time-series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low-level system logs to identify failure points. Familiarity with S3 or data lake storage is a plus, Additional Details The pay range for this position at the start of employment is expected to be between $145,000 and $180,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position. Culture: We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Unlimited Flexible Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program

🏢 Summary: Software Engineer III role focused on building and scaling a cloud-based data platform for fleet-scale humanoid robotics, enabling ingestion, synchronization, and processing of multimodal robot data for analytics and ML training. The position involves developing distributed data pipelines, edge ingestion agents, and observability systems to support high-volume sensor, video, and telemetry data. This role emphasizes big data technologies, cloud infrastructure, and real-time data processing for robotics applications. 🗂️ Requirements: 3-5 years experience building and scaling cloud-based data platforms, Experience with AWS, GCP, or Azure, Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink, Familiarity with data formats like Parquet, Arrow, Iceberg, Avro, Protobuf, Experience with observability tools and implementing metrics, tracing, logging systems, Strong proficiency in Python, Proficiency in Java or Scala, Experience with microservices architecture, Experience handling unstructured and structured data integration 📃 Skills: Python, Java, Scala, Spark, Kafka, Beam, Flink, AWS, GCP, Azure, Parquet, Arrow, Iceberg, Avro, Protobuf, OpenTelemetry, Prometheus, MCAP, ROS, Kubernetes, C++, Rust, S3, Athena, Sagemaker, Fluentbit 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role Join the team building the data backbone for fleet-scale humanoid robotics. As a Software Engineer III on our Data Platform team, you will implement and scale the infrastructure required to ingest, process, and synchronize massive datasets from our robots. You will focus on the technical challenges of handling multimodal log data—ensuring that high-frequency sensor data, video feeds, and telemetry are perfectly aligned for playback and ML training. Key Responsibilities Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot "black box" reconstruction/playback. Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments. Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings. Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics. Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models. Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. Required Qualifications 3-5 years of experience building and scaling cloud-based data platforms(AWS, GCP, or Azure). Big Data Tech: Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc Data Formats: Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices. Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry Bonus Qualifications Robotics/AV Background: Experience with robot-specific data formats (MCAP, ROS bags) and visualization tools like Foxglove or RVIZ. Sensor Fusion: Understanding of time-sync challenges in multimodal data (e.g., PTP/NTP synchronization across sensors). Infrastructure: Experience with Kubernetes and containerized deployment patterns. Systems Programming: Familiarity with C++ or Rust for high-performance data handling at the edge. IoT Knowledge: Experience with edge computing, Greengrass, or managing data from embedded devices. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$144,000—$224,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Software Engineer role focused on architecting and building production-grade teleoperation systems for humanoid robots, enabling complex whole-body manipulation in real-world environments. The position involves designing low-latency, scalable interfaces and control pipelines that integrate AI, hardware, and real-time systems to support large-scale human demonstration data collection. This role directly contributes to scaling a production humanoid robot fleet through robust, high-performance software systems. 🗂️ Requirements: 8+ years of experience in robotics or real-time systems, Proven experience delivering production-quality software, Deep understanding of real-time control systems, Strong knowledge of motion retargeting and rigid body dynamics, Experience designing low-latency communication and streaming systems, Ability to debug performance issues across software, networking, and hardware, Hands-on experience with VR, motion capture, or other human input systems, Strong analytical and performance validation skills, Authorization to work in the United States 📃 Skills: Robotics, Teleoperation, Real-time, Control, Streaming, Networking, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Rendering, Simulation, RigidBodyDynamics, MotionRetargeting, NeRF, GaussianSplatting 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role As a Staff Software Engineer on the AI team, you will architect and build production-quality teleoperation systems that enable Digit to execute complex whole-body manipulation tasks in real-world environments. You will work closely with AI, controls, hardware, and operations teams to create a scalable platform for high-quality human demonstration data collection. Your work will directly enable our ability to scale up the world's first production humanoid robot fleet and revolutionize the labor market. About The Work Own the end-to-end architecture of the teleoperation system, from operator input through real-time robot execution, ensuring low latency, predictable behavior, and clear system boundaries Integrate and optimize real-time control, streaming, and communication paths to meet measurable latency and bandwidth targets Design and implement scalable teleoperation interfaces, including VR, motion capture, and other modalities, to enable high-quality manipulation and locomotion demonstrations Develop comprehensive validation strategies in simulation and on hardware, including performance benchmarks, fault handling, and regression testing Analyze teleoperation and demonstration data to improve operator efficiency, system responsiveness, and task success rates Anticipate future robot hardware and sensor changes, and design systems that can adapt to new interfaces and capabilities with minimal architectural disruption About You 8+ years of experience in robotics or real-time systems, with a demonstrated track record of delivering reliable, production-quality software Deep understanding of real-time control systems, motion retargeting, and rigid body dynamics Experience designing low-latency communication and streaming systems for real-time applications Strong systems intuition with the ability to trace performance issues across software, networking, and hardware boundaries Strong analytical and debugging skills, with a data-driven approach to performance validation and system reliability Hands-on experience integrating human input systems such as VR, motion capture, wearable devices, or other operator interfaces Excellent communication skills and the ability to collaborate effectively across AI, controls, hardware, and operations teams Bonus Qualifications Experience building applications with real-time rendering or XR frameworks such as Unity, Unreal, Godot, SteamVR, or OpenXR Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods Familiarity with large-scale data collection pipelines for learning from demonstration This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$190,000—$296,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Technical leadership role focused on designing, developing, and deploying object detection and tracking algorithms for humanoid robots operating in real-world logistics and manufacturing environments. The position owns the perception architecture and drives state-of-the-art machine learning models for multi-object detection, scene understanding, and 6-DoF pose estimation in production systems. It involves optimizing deep learning models for embedded hardware and collaborating cross-functionally to deliver scalable, high-quality perception software. 🗂️ Requirements: 5+ years deploying machine learning-based object detection on mobile robots, 2+ years in a technical leadership role, Experience with deep convolutional neural networks, Experience with multi-object tracking and data association, Experience with supervised learning and 6-DoF pose estimation, Strong foundation in linear algebra and numerical optimization, Knowledge of geometric concepts in computer vision, Proficiency with PyTorch, OpenCV, NumPy or similar libraries, Experience optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, storage, evaluation, and deployment 📃 Skills: PyTorch, OpenCV, NumPy, CNN, Tracking, Pose, MLOps, GPU, CPU, LinearAlgebra, Optimization, Robotics, ComputerVision, MachineLearning, Embedded 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff Machine Learning Engineer role focused on leading the design and deployment of object perception systems for humanoid robots in production environments. The position centers on developing and optimizing multi-object detection, tracking, and 6-DoF pose estimation algorithms for real-world logistics and manufacturing applications. It involves technical leadership, architecture ownership, and efficient deployment on embedded robotic platforms. 🗂️ Requirements: 5+ years deploying machine learning-based object detection algorithms on mobile robots, At least 2 years of experience in a technical leadership role, Strong expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, Strong mathematical foundations in linear algebra and numerical optimization, Familiarity with geometric concepts in computer vision, Experience designing and optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, data storage, model evaluation, and model deployment, Familiarity with common computer vision and machine learning libraries, Publications in computer vision or robotics conferences (CVPR, ICCV, RSS, ICRA preferred) 📃 Skills: Python, PyTorch, OpenCV, NumPy, CUDA, CPU, GPU, YOLO, FasterRCNN, MaskRCNN, MLOps, CNN, SLAM 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Design and deploy learning-based manipulation systems for humanoid and mobile robots, leveraging foundation models and advanced generative control methods. The role focuses on sim-to-real transfer, digital twins, teleoperation data pipelines, and robust closed-loop visuomotor policy deployment in production environments. You will work on scalable robotics infrastructure to enable reliable, real-world robotic manipulation at scale. 🗂️ Requirements: Experience training embodied AI policies for real robots, Experience with transformer-based action models, Experience with diffusion policies or generative control methods, Experience adapting or fine-tuning large-scale multimodal/foundation models, Ability to deploy and optimize models on real robotic systems, Strong understanding of sim-to-real transfer challenges, Experience with multi-modal inputs (vision, proprioception, language), Proficiency in Python, Proficiency in deep learning frameworks, Experience integrating learned policies with real-time control systems, Strong experimental design and debugging skills 📃 Skills: Python, PyTorch, JAX, IsaacSim, MuJoCo, Transformers, Diffusion, ACT, VLA, Pi0, Gemini, Robotics, Teleoperation, Visuomotor, Simulation 🏢 Description: Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. About the team: The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform. Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving. In this role you will: - Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms - Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar tools - Implement and evaluate approaches such as: - Action Chunking with Transformers (ACT) - Diffusion Policies - Behavior Cloning at Scale - Vision-Language-Action (VLA) models - Latent action or hierarchical skill models - Work with modern foundation models for robotics (e.g., Pi0, Gemini ER 1.6 or similar), including adapting, fine-tuning, and deploying them for real-world tasks - Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer - Build teleoperation-to-training data pipelines - Design sim-to-real transfer strategies including domain randomization and system identification - Evaluate policy robustness, generalization, and real-world performance - Work closely with perception and controls teams to ensure stable closed-loop visuomotor policies - Deploy, tune, and iterate on models running on real robotic systems in production environments What makes you a great fit: - Experience training embodied AI policies for real robots - Familiarity with transformer-based action models (e.g., ACT) - Experience with diffusion policies or other generative control methods - Experience working with or adapting large-scale models (e.g., Pi0, Gemini ER 1.6, or similar VLA / multimodal models) - Ability to deploy, fine-tune, and optimize models for real-world robotic systems (latency, robustness, reliability) - Strong understanding of sim-to-real challenges - Experience working with multi-modal inputs (vision, proprioception, language) - Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.) - Experience integrating learned policies with real-time control systems - Strong experimental design, evaluation, and debugging skills Our Total Rewards: - Equity in Formic - Competitive & Uncapped Commission Structure (for commission-eligible roles) - Comprehensive Healthcare Coverage (medical, dental, vision) - FSA and DCFSA - Life insurance - Short-term and long-term disability insurance - Employee Assistance Program (EAP) - Paid Parental Leave (up to 12 weeks) - Company-sponsored 401(k) - Home Office Stipend - Monthly Cell Phone Reimbursement - Flexible Time Off Compensation Philosophy Formic's pay and equity packages are benchmarked against peer companies at a similar growth stage. Equity represents a meaningful part of the mutual investment. Final offers are customized based on experience, geographic location, market considerations, and preferred balance of cash and equity. Compensation Range: $145,000—$200,000 USD What we look for: We value candidates who align with the company’s operating principles, take ownership, think from first principles, act with urgency, collaborate across teams, and demonstrate resilience and optimism while building scalable systems. Equal Opportunity Employment: Formic is an equal opportunity employer. Employment decisions are based on merit, business needs, and role requirements. AI Use: AI-powered tools may be used during parts of the interview process, with final hiring decisions made by humans.

🏢 Summary: Staff NPI Manufacturing Engineer responsible for leading the transition of electromechanical products from prototype through pilot builds into scaled production. The role drives manufacturability, quality, and testability across subassemblies while partnering cross-functionally to ensure successful production launches. Focus areas include DFM/DFA/DFT, process validation, yield improvement, and supply chain readiness in NPI environments. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or related field, 7+ years of relevant engineering experience, 5+ years in manufacturing assembly for electromechanical or embedded systems, Hands-on experience in NPI environments on the manufacturing floor, Experience transitioning products from development through PVT to end of life, Experience with manufacturing test requirements and test stand development, Knowledge of FMEA, ECO processes, and PLM systems, Experience supporting EMS/CM partners and supply chain readiness, Authorization to work in the United States 📃 Skills: DFM, DFA, DFT, SPC, Lean, SixSigma, FMEA, ECO, PLM, Altium, Creo, HALT, PVT, EVT, DVT 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About the Role We're looking for a Staff NPI Manufacturing Engineer to lead the transition of innovative, electromechanical designs from prototype through pilot builds into scaled production. This role focuses on new product introduction (NPI) and is critical in ensuring manufacturability, quality, and testability across electromechanical subsystems and sub-assemblies including hardware, sensors, actuators, cables, and integration modules. This is a highly cross-functional role, partnering with electrical and mechanical design, test engineering, quality, and supply chain—along with EMS and mechanical suppliers—to ensure rapid, repeatable, and high-quality production launches. About the Work - Lead NPI activities across multiple product lines, managing the transition from design to production for various electromechanical subassemblies. - Own DFM/DFA/DFT efforts during early design phases to influence product architecture and ensure manufacturing scalability. - Develop and release work instructions, BOMs, process flows, test procedures, and fixture/tooling designs across prototype and pilot builds. - Drive build readiness, supporting Proto/EVT/DVT/PVT activities including line bring-up, process validation, and pilot build execution. - Troubleshoot and resolve issues at the sub-system and system level, conducting structured root cause analysis for mechanical or electrical issues. - Partner with EMS providers and component suppliers to drive first-pass yield, throughput, and process capability. - Support yield improvements and cost reduction through data analysis and process optimization using SPC, lean, and 6 sigma tools. - Contribute to environmental, reliability, and lifecycle testing plans and setups (e.g., burn-in, thermal cycling, HALT). - Develop, review, and release manufacturing specifications, drawings, BOMs, processes, SOPs, equipment, workflows, and tools/fixtures for new products to support high-quality production. - Collaborate with suppliers and contract manufacturers to ensure effective qualification, process capabilities, and material disposition. - Document processes clearly and communicate effectively across teams. About You - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related field, with 7+ years of relevant experience. - 5+ years in manufacturing assembly for electromechanical or embedded systems products; experience in NPI environments directly working on the manufacturing floor is highly preferred. - Hands-on experience in supporting and troubleshooting the design, assembly, and testing of electro-mechanical systems utilizing data analysis and lean methods. - Experience in transitioning products and processes from development to production (NPI), including into Production Validation Testing (PVT) through to end of life (EOL). - Familiarity with creating manufacturing test requirements, test stand equipment development, validation testing, Engineering Change Order (ECO) production release, and training engineers, production staff, and suppliers/CMs. - Proficiency with Altium and/or Creo is a significant plus, along with mechanical design knowledge to create and release test fixtures. - Experience supporting EMS/CM partners and driving supply chain readiness. - Working knowledge of FMEA, ECO processes, PLM systems, and design validation best practices. - Excellent communication, technical documentation, and collaboration skills. Benefits Anticipated Base Salary Range: $144,000—$186,000 USD In addition to base pay, the competitive total rewards package for full-time employees includes: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance - Benefits eligibility from first day of employment - Employee Assistance Program (EAP) - Flexible, unlimited PTO for exempt employees or 10 vacation days plus paid sick leave for non-exempt employees - 12 company holidays including a winter shutdown - Catered lunches and on-site snacks - Generous paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles All roles are U.S.-based. Applicants must have current authorization to work in the United States.

🏢 Summary: Full Stack Engineer role building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and enterprise systems. The position involves end-to-end development across frontend, backend, and databases, with strong ownership and direct customer impact. Candidates will work in a fast-paced seed-stage environment with high accountability and real-world deployment exposure. 🗂️ Requirements: Experience shipping production software end-to-end, Strong proficiency in TypeScript, Strong proficiency in JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL databases, Experience designing database schemas and data models, Understanding of testing, documentation, and code review best practices, Ability to work in fast-moving, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing, Documentation, CodeReview 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.

🏢 Summary: Full Stack Engineer role focused on building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and ERP systems. The position involves end-to-end development across frontend, backend, and databases, delivering customer-driven features in high-stakes environments. Engineers take ownership of production systems, ensuring scalability, reliability, and code quality. 🗂️ Requirements: Proven experience shipping production software end-to-end, Strong proficiency in TypeScript and JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL and database design, Experience with PostgreSQL, Ability to integrate with legacy and external enterprise systems, Understanding of testing, code reviews, and documentation practices, Ability to work in fast-paced, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.