Staff Software Engineer, Teleoperation

🏢 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: 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: Senior leadership role focused on supplier quality engineering and incoming quality control for humanoid robotics manufacturing. The position leads global supplier quality frameworks, incoming material compliance, and continuous improvement initiatives to support scalable, high-volume production. Candidates should have strong experience in quality systems, manufacturing operations, and technical leadership. 🗂️ Requirements: Bachelor's degree in Industrial, Systems, Mechanical, Electrical Engineering or related field, 8+ years in Quality Engineering, Global Manufacturing, or Supply Chain Operations, 3+ years in direct management or leadership role, Knowledge of ISO 9001, IATF 16949, or ISO 13485, Experience with GD&T and metrology tools, Expertise in SPC and root-cause analysis methodologies, Experience with APQP, PPAP, FMEA, and Control Plans, Ability to travel up to 15%, Authorization to work in the USA 📃 Skills: ISO9001, IATF16949, ISO13485, GD&T, SPC, APQP, PPAP, FMEA, SCAR, 8D, Fishbone, SixSigma, Metrology, ANSI, ASQ, CQE, CSQP, Lean, MRB, ECO 🏢 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 Agility Robotics is looking for a Senior Manager, Incoming Quality Control and Supplier Quality Engineering (IQC/SQE). The Senior Manager will lead the strategic vision and daily execution of global supplier quality and incoming material control frameworks. This role is responsible for ensuring that all components, sub-assemblies, and finished goods supplied by external partners meet stringent design, reliability, and compliance standards before entering the production lifecycle. As a key leadership figure in Technical Operations, you will build and scale a high-performing team of Supplier Quality Engineers and IQC technicians, foster a collaborative culture of continuous improvement, and drive technical accountability across the global supply chain. About The Work 1. Strategic Leadership & Team Development - Recruit, mentor, and develop a world-class team of SQEs and IQC inspectors/technicians. - Define and execute the roadmap for scaling IQC and SQE operations to support new product introductions and high-volume global manufacturing. - Partner closely with Design Engineering, Supply Chain, Operations, and Compliance teams to transition products from design to mass production. 2. Supplier Quality Engineering (SQE) & Governance - Establish qualification frameworks for new suppliers. - Lead technical and quality system audits to ensure supplier capabilities align with product requirements. - Drive execution of APQP, including PPAP, FMEA, and Control Plans with global suppliers. - Develop and monitor supplier quality dashboards tracking metrics such as DPPM, SCAR response times, and yield rates. - Conduct regular business reviews with critical vendors. 3. Incoming Quality Control (IQC) & Material Compliance - Oversee the IQC laboratory, including metrology equipment, automated inspection systems, and SOP optimization. - Utilize statistical sampling plans such as ANSI/ASQ Z1.4 to optimize inspection workflows. - Lead the MRB process for non-conforming materials and engineering change order implementation. 4. Continuous Improvement & Root Cause Analysis - Own the SCAR process and ensure suppliers apply disciplined problem-solving methodologies including 8D, 5-Why, and Fishbone. - Apply Lean Six Sigma tools to reduce variability and optimize incoming quality workflows. About You - Bachelor's degree in Industrial, Systems, Mechanical, or Electrical Engineering, or related technical discipline. - 8+ years of experience in Quality Engineering, Global Manufacturing, or Supply Chain Operations. - 3+ years in a management or leadership role. - Strong knowledge of Quality Management Systems including ISO 9001, IATF 16949, or ISO 13485. - Experience with GD&T and advanced metrology tools. - Expertise in statistical analysis, SPC, and root-cause analysis. - Ability to travel domestically and internationally up to 15%. - Authorization to work in the USA. Bonus Points - Master of Science in Manufacturing Leadership, Industrial Engineering, or MBA. - Lean Six Sigma Black Belt (LSSBB), ASQ CQE, or CSQP certification. - Experience in robotics, automotive, aerospace, or advanced consumer electronics quality environments. Benefits - 401(k) plan with 6% company match. - Company stock options. - 100% company-paid medical, dental, vision, and disability insurance for employees. - Benefits effective on first day of employment. - Employee Assistance Program. - Flexible unlimited PTO for exempt employees. - Paid holidays including winter shutdown. - Catered lunches and on-site refreshments at select locations. - Paid parental leave. - Flexible work arrangements. - Professional development and tuition reimbursement. - Relocation assistance for eligible roles. - Annual discretionary bonus for eligible roles.

🏢 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: Staff HiL Software Infrastructure Engineer role focused on building and scaling a modular Hardware-in-the-Loop ecosystem for humanoid robots, including automation frameworks, real-time simulation models, and CI/CD infrastructure. The position involves developing hardware interface libraries, managing Linux-based testing environments, and collaborating across firmware and electrical engineering teams. This hybrid role includes competitive compensation, equity, comprehensive benefits, and opportunities to work on next-generation robotic systems. 🗂️ Requirements: 5+ years in test engineering, design verification, or electrical validation, Experience with Hardware-in-the-Loop systems and V&V methodologies, Proficiency in Python, Experience with MATLAB, Experience with Simulink, Experience with GitHub Actions, Knowledge of EtherCAT, Knowledge of Ethernet, Knowledge of CAN, Knowledge of SPI, Knowledge of I2C, Knowledge of differential UART, Experience with real-time simulation platforms, Experience with Linux RT, Bachelor’s degree in Computer Science, Computer Engineering, or related field, Authorization to work in the United States 📃 Skills: Python, MATLAB, Simulink, GitHub, EtherCAT, Ethernet, CAN, SPI, I2C, UART, dSpace, Linux, Docker, IsaacSim, MuJoCo, Gazebo, Webots, PXI, SCPI 🏢 Description: Role Overview Agility Robotics is seeking a Staff HiL Software Infrastructure Engineer to join the Systems Engineering, Integration & Test (SEIT) team. This critical role will lead the development of a modular, rack-based Hardware-in-the-Loop (HiL) ecosystem for our next-generation V5 humanoid robot. You will be responsible for the core software infrastructure that powers our automated testing, including real-time simulation models, CI/CD pipelines, and hardware interface libraries. Key Responsibilities - Automation Framework Development: Design, implement, and scale test automation frameworks to support continuous firmware and software regression testing. - CI/CD Pipeline Engineering: Build and manage automated pipelines using GitHub Actions to trigger firmware flashing and test execution on physical HiL runners. - Real-Time Simulation Modeling: Develop high-fidelity RT models for motor, encoder, communication framework and sensor emulation to support sub-system and full-system HiL benches. - Hardware Interface Libraries: Create and maintain robust software libraries for interfacing with industrial hardware protocols, including EtherCAT, CAN, SPI, I2C, SCPI-controlled power supplies, and PXI relay APIs. - Infrastructure Management: Configure and maintain Linux-based workstations as GitHub Actions self-hosted runners, ensuring deterministic and traceable test environments. - Cross-Functional Collaboration: Partner with Electrical Engineers and Firmware teams to define signal mapping, fault injection requirements, and sensor data simulation strategies. - Fault Injection Implementation: Programmatically control Fault Injection Units (FIU) to simulate short-to-battery, short-to-ground, and open-circuit conditions on critical robot signals. Technical Skills & Requirements Core Requirements - Minimum of 5 years of experience in test engineering, design verification, or electrical validation - Strong preference for experience in robotics, autonomous vehicles, aerospace, or other complex hardware systems - Extensive experience in designing, implementing, and maintaining Hardware-in-the-Loop (HiL) systems, and deep familiarity with Verification & Validation (V&V) methodologies for complex robotic or embedded systems - Strong proficiency in Python for automation, scripting, and development, as well as MATLAB/Simulink for real-time model development - Proven experience with GitHub Actions and test automation framework in a hardware-focused environment - Deep understanding of EtherCAT, Ethernet, CAN, SPI, I2C, and differential UART - Experience with real-time simulation platforms such as dSpace (Labbox/SCALEXIO/ConfigurationDesk) or NI, and real-time operating systems like Linux RT Preferred Qualifications - Familiarity with Acontis and other EtherCAT simulation - Proven experience in Linux system administration and Docker for containerized test environments - Experience with one or more robotics simulation platforms such as NVIDIA Isaac Sim, MuJoCo, Gazebo, or Webots - Experience with programmable power supplies, electronic loads, and PXI-based switching hardware - Experience in a high-growth startup or New Product Introduction (NPI) environment, specifically bridging the gap between R&D prototypes and production hardening Education - Bachelor’s degree in Computer Science, Computer Engineering or a related field (Master’s preferred) This is a hybrid position based out of one of the Fremont, CA offices. Anticipated Base Salary Range $190,000—$247,000 USD Benefits - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and disability insurance for employees - Benefits eligibility starting on first day of employment - Employee Assistance Program (EAP) - Flexible unlimited PTO for exempt employees - Paid holidays including winter shutdown - Catered lunches and on-site refreshments - Paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles Applicants must have current authorization to work in the United States.

🏢 Summary: Staff Software Engineer role focused on building and improving AI/ML infrastructure and data platforms that power large-scale manufacturing marketplace products. The position involves cloud infrastructure design, ML platform engineering, distributed systems, and collaboration with AI leadership to deliver scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, Experience with version control and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Strong programming skills in Python, Experience with multimodal data processing, Experience with AWS microservices, Experience with Docker and Kubernetes, US Citizen or Green Card holder 📃 Skills: Python, AWS, Terraform, REST, Docker, Kubernetes, SageMaker, IAM, Lambda, Cloudwatch, ECR, EKS, Kinesis, Git, CI/CD 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.We are looking for a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. How You'll Contribute: Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics What You'll Bring to Xometry: At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar A Bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform REST API design and implementation Object oriented and functional programming in Python Multimodal data processing (e.g., combining text, image, and 3D data) Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis Containerization technologies (Docker and Kubernetes) Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors Experience in the manufacturing, supply chain, or similar industries is a plus Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into this role is $140,000- $230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

🏢 Summary: Full-Stack Senior Software Engineer role focused on building user-facing web applications and conversational interfaces for AI-driven logistics systems. The position involves designing intuitive human–AI interaction flows and integrating frontend applications with backend services and agent-based AI systems. It combines strong frontend development with backend integration to deliver scalable, high-quality end-to-end solutions. 🗂️ Requirements: Strong full-stack software engineering experience, Proficiency in JavaScript and TypeScript, Experience with React or similar frontend frameworks, Solid understanding of backend systems and APIs, Experience integrating frontend with backend services and APIs, Experience building user-facing applications with focus on usability and performance, Understanding of UX principles and interaction design, Experience working with asynchronous workflows and real-world data, Familiarity with AI-powered applications or conversational interfaces, Experience with cloud platforms (AWS, GCP, or Azure), Strong debugging skills across frontend and backend 📃 Skills: JavaScript, TypeScript, React, Next.js, APIs, REST, UX, LLM, AWS, GCP, Azure, HTML, CSS 🏢 Description: What's the role? We are looking for a strong Full-Stack Senior Software Engineer to build intuitive, high-quality user experiences for next-generation agentic AI solutions in the logistics domain. The systems developed by this team optimize deliveries at scale improving driver efficiency, increasing reliability, reducing operational costs, and lowering environmental impact. In this role, you will develop user-facing web applications and conversational interfaces that enable users to interact seamlessly with AI-powered systems. You will focus on creating clear, efficient, and reliable human–AI interaction flows, while integrating tightly with backend services, agent systems, and APIs. This is a hands-on role that requires both strong frontend expertise and solid backend understanding , along with a sharp sense of product and user experience. What You’ll Do: Design and build user-facing web applications and conversational interfaces for AI-driven logistics workflows Develop intuitive human AI interaction flows that make complex system behavior understandable and usable Implement frontend applications using modern frameworks (e.g., React, Next.js) with a strong focus on performance and usability Integrate UI layers with backend services, agent systems, and APIs to deliver end-to-end functionality Collaborate with backend engineers and AI engineers to ensure smooth data flow and system interactions Translate product requirements and user needs into clean, usable, and scalable UI solutions Contribute to backend components where needed (e.g., API integration, lightweight services, orchestration logic) Ensure high-quality delivery through testing, monitoring, and continuous iteration based on user feedback Improve overall user experience through better workflows, interaction patterns, and system responsiveness Leverage AI-assisted development tools to improve development speed and code quality Who are you? What We’re Looking For: Software engineering experience with strong full-stack development skills Strong proficiency in frontend technologies (JavaScript/TypeScript, React or similar frameworks) Solid understanding of backend systems, APIs, and service integration patterns Experience building user-facing applications with a focus on usability, performance, and maintainability Good understanding of UX principles and ability to design flows that simplify complex systems Experience integrating with APIs and working with real-world data and asynchronous workflows Familiarity with AI-powered applications (e.g., conversational interfaces, LLM integrations, agent-driven systems) is a strong plus Experience with cloud platforms (AWS, GCP, or Azure) and modern development practices Strong debugging and problem-solving skills across frontend and backend layers Ability to work independently on well-defined problems and collaborate effectively in cross-functional teams Good communication skills and a strong sense of ownership What We Offer: The opportunity to tackle meaningful and challenging problems A chance to continuously learn and stay on top of the latest technology trends Work that has real-world impact, shaping the future of mobility and technology Regular feedback to help you grow and succeed in your role A collaborative and supportive team environment where your contributions are valued Competitive salary plus bonus Flexible working hours and a hybrid working environment Medical coverage for you and your family This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu) Option to work on a B2B contract (please note: benefits, bonus and KUP do not apply in this case) Change is HERE. Apply Now! #LI-AK8   #LI-HYBRID Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code. As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. Apply for this job online Email this job to a friend Share on your newsfeed Connect With Us! Not ready to apply? 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🏢 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.