Staff HiL SW Infrastructure Engineer

🏢 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: 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: 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: 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: Manager, Planning role focused on leading supply chain planning, inventory optimization, and SIOP processes for robotics manufacturing operations. The position involves managing planners and analysts, driving supply chain KPIs, and partnering cross-functionally to support global demand and scalable operational growth. This onsite role includes strategic and tactical planning responsibilities in a fast-paced high-tech manufacturing environment. 🗂️ Requirements: 8+ years of supply chain planning experience in high-tech, robotics, or industrial manufacturing, 2–3+ years in a supervisory or management role, BA/BS in Supply Chain, Operations, Engineering, or related field, Proficiency in IBP/SIOP processes, Experience with MRP/ERP systems, Knowledge of statistical forecasting methods, Advanced data visualization and reporting skills, Ability to work in fast-paced evolving environments, Authorization to work in the United States 📃 Skills: IBP, SIOP, MRP, ERP, Forecasting, Planning, Analytics, Visualization, Inventory, Sourcing, Manufacturing, SupplyChain, APICS, CPIM, CSCP, CPF, ACPF 🏢 Description: About the Role We are looking for a Manager, Planning who is passionate about utilizing robotics to improve our daily lives. Leading a key segment of our Supply Chain team, you will oversee the coordination of team activities including but not limited to the optimization of our material and inventory plans. You will partner closely with Manufacturing, Sourcing, and Inventory Management teams to ensure we have the necessary materials to meet surging global demand for our groundbreaking robots. The ideal candidate is a person with strong analytical skills and the ability to think at both tactical and strategic levels. This leader must be competent at doing individual contributor work as well as leading other individual contributors. As with any technology development company, we need team members who possess the ability to be proactive at anticipating and mitigating supply chain risks. About the Work - Tactical Leadership: Lead the creation, review, and execution of comprehensive supply and inventory replenishment plans for finished goods and raw materials across a 12 to 24 month time horizon. - Team Leadership: Guide and mentor a small team of planners and analysts, ensuring thorough material readiness validation for manufacturing orders and fostering a high-performance culture. - Accountability: Own and report on critical supply chain KPIs, including supply plan forecast accuracy, working capital optimization, customer fill rates, and inbound freight efficiencies. - Inventory & Risk Management: Own and report on inventory health, material gaps, supply chain risks and gaps. Establish inventory strategies using whatever method is appropriate to insulate the business from logistics instability, tariffs, and supplier volatility. - Data & System Governance: Partner with Sourcing to promote supply chain master data integrity particularly for those data elements that are utilized in planning calculations. - SIOP / S&OP Architecture: Serve as a driving force in the preparation and presentation of Sales & Operations, S&OE/SIOP reporting. Facilitate cross-functional alignment between executive stakeholders to synchronize supply with commercial demand. - Lifecycle Management: Partner with Engineering and Sourcing to direct inventory strategies for new product introductions (NPI) and end-of-life (EOL) product phase-outs, minimizing obsolescence exposure. - Process Scaling: Design, formalize, and optimize supply planning workflows and policies to help the company on its journey of maturity into a structured, scalable enterprise. About You - Experience: 8+ years of supply chain planning experience in high-tech, robotics, or industrial manufacturing, with at least 2–3 years in a supervisory or management role. - Education: BA/BS degree in Supply Chain, Operations, Engineering, or a related field required. MBA or Master's in Supply Chain preferred. - Technical Expertise: Deep proficiency in Integrated Business Planning (IBP/SIOP), advanced MRP/ERP systems, and statistical forecasting methods, including their direct financial impacts. - Analytical Power: Advanced data visualization and reporting skills; ability to translate complex supply chain data into high-level strategic insights for executive presentations. - Adaptability: Proven ability to thrive and establish structure in a fast-paced, evolving environment where processes are still being defined. - Certifications: CPF or ACPF certification is highly preferred, or APICS (CPIM/CSCP). - Leadership & Influence: Exceptional interpersonal, negotiation, and facilitation skills. You excel at driving cross-functional alignment across Sales, Finance, Engineering, and Operations to achieve overarching organizational goals. Location This is an onsite position at our Salem office. Compensation and Benefits - Anticipated Base Salary Range: $112,000—$145,000 USD - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees - Benefits eligible from first day of employment - Employee Assistance Program (EAP) - Flexible unlimited PTO and 12 company holidays for exempt employees - Vacation days, paid sick leave, and holidays for non-exempt employees - Catered lunches and on-site refreshments - Generous 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: Leadership role overseeing direct procurement execution for hardware manufacturing and NPI programs, managing a team of Buyers to ensure material readiness, supplier performance, and ERP/MRP process excellence. The position focuses on operational execution, supplier delivery management, and cross-functional coordination to support engineering builds and production. Success is measured by procurement performance, data integrity, and continuous process improvement in a fast-paced manufacturing environment. 🗂️ Requirements: Bachelor's degree in Supply Chain Management, Business, Engineering, or equivalent experience, 8+ years of experience in procurement, purchasing, or supply chain in hardware or advanced manufacturing, 3+ years of experience leading or mentoring procurement or purchasing teams, Experience with direct material procurement (mechanical, electrical, electromechanical), Experience supporting new product introduction (NPI) and production ramp, Strong knowledge of procurement execution and supplier delivery management, Experience with ERP and MRP systems, Authorization to work in the United States 📃 Skills: ERP, MRP, Windchill, MISys, NetSuite, SAP, Oracle, Procurement, Purchasing, Inventory, KPIs 🏢 Description: About the Role As the Manager, Direct Procurement, you will lead the execution of procurement activities supporting production and new product introduction (NPI) programs. You will be responsible for building and leading a high-performing team of Buyers while ensuring operational excellence across purchasing, supplier delivery, material readiness, and procurement processes. In this role, you will partner closely with Global Supply Managers (GSMs), Planning, Engineering, Manufacturing, Finance, and Supply Chain leadership to ensure procurement strategies are executed effectively and materials are available to support engineering builds and production schedules. You will oversee the day-to-day procurement organization, driving accountability, process discipline, supplier execution, and continuous improvement while enabling the sourcing organization to focus on strategic supplier management. This role requires a strong operational leader who thrives in fast-paced hardware manufacturing environments and can balance tactical execution with process optimization. Success in this role is measured by procurement execution excellence, supplier delivery performance, material availability, ERP data integrity, and the effectiveness of the Buyer organization. About the Work Lead, mentor, and develop a team of Buyers responsible for procurement execution across direct material commodities. Drive operational excellence across purchase order execution, supplier communications, material availability, and procurement processes. Establish clear priorities, workload balancing, and accountability across the Buyer organization. Ensure timely and accurate purchase order creation, revisions, confirmations, and supplier follow-up activities. Monitor supplier delivery performance and proactively drive recovery plans for shortages, late deliveries, and supply disruptions. Partner closely with Global Supply Managers (GSMs) to ensure sourcing strategies are successfully executed through procurement. Work cross-functionally with Planning, Engineering, Manufacturing, Finance, and Supply Chain Program Management to ensure material readiness for engineering builds and production. Lead daily and weekly procurement execution reviews, ensuring timely resolution of supplier issues and procurement bottlenecks. Drive procurement process standardization and continuous improvement across purchasing workflows. Partner with Procurement Operations to improve enterprise resource planning (ERP) and material requirements planning (MRP) data integrity, procurement reporting, and operational efficiency. Ensure procurement master data including pricing, lead times, supplier records, and purchasing parameters remain accurate and well governed. Support new product introduction (NPI) by ensuring procurement readiness for prototype, validation, and production builds. Develop and monitor procurement key performance indicators (KPIs) including supplier delivery performance, purchase order cycle time, shortage resolution, procurement responsiveness, and buyer productivity. Serve as the primary escalation point for procurement execution issues and supplier delivery challenges. Collaborate with Finance to support invoice resolution, procurement reporting, and operational planning. Foster a culture of ownership, urgency, accountability, and continuous improvement across the procurement team. About You Bachelor's degree in Supply Chain Management, Business, Engineering, or practical equivalent experience. 8+ years of progressive experience in procurement, purchasing, or supply chain within hardware, robotics, automotive, aerospace, or advanced manufacturing environments. 3+ years of experience leading or mentoring procurement or purchasing teams. Strong understanding of direct material procurement including mechanical, electrical, and electromechanical commodities. Experience supporting new product introduction (NPI), prototype builds, engineering validation, and production ramp activities. Strong understanding of procurement execution, supplier delivery management, material planning, inventory control principles, and ERP/MRP workflows. Experience working with enterprise resource planning (ERP) and material requirements planning (MRP) systems (Windchill, MISys, NetSuite, SAP, Oracle, etc.). Demonstrated ability to improve procurement processes, establish operational metrics, and drive execution excellence. Strong leadership, communication, stakeholder management, and problem-solving skills. Experience developing high-performing procurement teams through coaching, mentorship, and performance management. Ability to build strong cross-functional relationships while driving accountability, operational discipline, and continuous improvement. Anticipated Base Salary Range $110,000—$143,000 USD In addition to base pay, the competitive total rewards package for full-time employees includes: 401(k) Plan with 6% company match. Equity through company stock options. 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Eligibility for benefits on the first day of employment. Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-site perks include catered lunches four times a week and healthy snacks and refreshments. Generous paid parental leave programs. 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. Equal employment opportunity is provided without discrimination or harassment on any legally protected basis.

🏢 Summary: Senior Test Automation Engineer role focused on building and owning automated testing, evaluation pipelines, and reliability validation for AI-driven logistics systems. The position involves testing non-deterministic LLM-based agent workflows, geospatial routing logic, and distributed backend services. You will define testing strategies, create scenario simulations, and integrate continuous validation into CI/CD pipelines. 🗂️ Requirements: Experience in test automation or SDET roles, Strong programming skills in Python, Experience testing logistics, routing, or geospatial systems, Understanding of distributed systems and APIs, Experience with AI/ML systems and non-deterministic outputs, Knowledge of statistical validation and data science concepts, Experience with geospatial APIs or data (e.g., HERE, OSM), Experience integrating tests into CI/CD pipelines 📃 Skills: Python, LLM, AI, ML, APIs, CI/CD, HERE, OSM, Geospatial, Routing, DistributedSystems, Statistics, SDET, Automation, Simulation 🏢 Description: What's the role? We are looking for a highly skilled Senior Test Automation Engineer to ensure the quality, reliability, and safety of next-generation agentic AI systems for the logistics industry. In this role, you will own test automation, reliability validation, scenario simulation, and AI-specific evaluation pipelines . You will work with complex, non-deterministic systems involving LLMs, agent workflows, and real-world logistics constraints such as routing, time windows, and geospatial data. This is not a traditional QA role. You are expected to define what to test and how to test it , build intelligent testing systems, and proactively identify risks in AI-driven behavior. What You’ll Do: Design and build automated testing frameworks for backend services, APIs, and AI-driven logistics systems Develop evaluation pipelines for LLM systems (quality, safety, regression detection) Create scenario simulations covering routing constraints, time windows, capacities, and geospatial edge cases Define testing strategies for non-deterministic systems using statistical and tolerance-based validation Validate geospatial data, routing logic, and integrations with HERE and external APIs Build tools for synthetic data generation and large-scale test scenario creation Integrate testing and evaluation into CI/CD for continuous validation Collaborate with engineers and domain experts to identify failure modes and improve system quality Who are you? What We’re Looking For: Experience in test automation/SDET with strong programming skills (Python preferred) Experience testing logistics, routing, or geospatial systems (required) Strong understanding of distributed systems, APIs, and data-intensive applications Experience with AI/ML systems and evaluating non-deterministic outputs (e.g., LLMs) Solid grasp of data science concepts (metrics, statistical validation, sampling) Ability to design test strategies independently for complex and ambiguous systems Experience working with geospatial APIs/data (e.g., HERE, OSM, or similar) Familiarity with CI/CD, observability, and AI-assisted development tools 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: Senior QA Engineer role focused on manual and automation testing of web applications, including validation of AI-generated test cases and LLM outputs. The position involves API testing, cross-browser UI testing, CI/CD collaboration, and contributing to an existing automation framework within Agile teams. It is suited for an experienced tester strengthening automation skills while working with AI-driven tools and modern QA practices. 🗂️ Requirements: 4+ years of software testing experience, Strong manual and automation testing knowledge, Understanding of SDLC and STLC models, Knowledge of testing and QA processes, Experience with test design techniques, Defect analysis and reporting skills, Experience with Postman for API testing, Experience with browser developer tools, Experience with UI testing, Experience with TestRail for test management, Basic understanding of CI/CD processes, Intermediate level of English 📃 Skills: TestRail, Postman, JIRA, Jenkins, CI/CD, SDLC, STLC, API, UI, LLM, Claude, GitHub, Copilot, OpenAI, Azure, LangChain 🏢 Description: ID66279 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior QA Engineer to perform manual and automation testing of web applications, validate AI-generated test cases and LLM outputs, and contribute automation scripts to a stable existing framework under the guidance of a dedicated Automation Lead. You will design and execute test plans in TestRail, conduct API testing with Postman, document defects in Jira, and collaborate across Agile sprint cycles. The role suits an engineer with a strong manual background who is actively growing their automation skills using tools including Claude and GitHub Copilot. What you will do Perform manual and automation testing of web applications to identify bugs, glitches, and inconsistencies; Take ownership of automation tasks within the team and proactively develop your automation skills; Develop, maintain, and execute detailed manual test cases based on product requirements and specifications; Perform thorough cross-browser UI testing to ensure consistent behavior across Chrome, Firefox, Safari, Edge, etc.; Validate AI-generated test cases, summaries, and recommendations produced by integrated LLMs to ensure accuracy, completeness, and alignment with project requirements; Design and execute test scenarios to verify AI behavior, including prompt–response consistency, contextual relevance, and deterministic vs. non-deterministic outputs; Evaluate AI model quality using defined acceptance metrics (precision, recall, hallucination rate, duplication rate); Conduct manual API testing to validate request/response accuracy, error handling, and integration; Use TestRail to create, manage, and track test plans, test cases, and test execution results; Use Jenkins CI/CD pipelines; Report and document defects clearly using the bug tracking system (JIRA); Participate in daily stand-ups, sprint planning, and other Agile team meetings; Review user stories and acceptance criteria to understand the scope of testing; Estimate own tasks, report on risks to the team lead; Collaborate with developers and other QA team members to reproduce issues and verify fixes; Maintain and update test documentation as needed. Must haves 4+ years of experience in software testing; Strong manual & automation knowledge; Basic understanding of SDLC and STLC (Software Development and Testing Life Cycle) models; Knowledge of Testing and Quality Assurance processes; Strong experience with Test Design activities to cover a set of product requirements; Knowledge of Test Design techniques; Knowledge of testing methodologies; Defect analysis skills and the ability to write detailed and useful defect reports with expected defect-fixing outcomes; Experience with Postman (API testing) and Browser developer tools; Experience with UI testing; Experience with TestRail as a Test Management system (as a user, test execution is required); Basic understanding of CI/CD process; English – an Intermediate, higher knowledge level is an advantage. Nice to haves Understanding of LLM evaluation principles, including prompt engineering, output validation, and model fine-tuning cycles; Familiarity with AI/ML concepts, APIs, and frameworks (e.g., OpenAI API, Azure OpenAI, LangChain); Knowledge of data protection and compliance standards for AI systems (GDPR, zero-data retention, PII anonymization); Experience in SSO testing is a plus; Experience in Performance or Load testing is a plus. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior QA Automation Engineer responsible for defining and executing quality strategy for serverless middleware services on AWS, supporting ordering, loyalty, payments, and third-party integrations. The role focuses on building automated API test frameworks, validating event-driven architectures, performing performance testing, and integrating quality gates into CI/CD pipelines. It requires strong backend testing experience and active use of AI-assisted tools in daily quality engineering work. 🗂️ Requirements: 4+ years of quality engineering or software engineering focused on backend API testing, Experience designing automated test suites for REST APIs in distributed or microservices environments, Hands-on experience with performance and load testing, Proficiency in JavaScript, TypeScript, Java, or Python, Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS), Experience integrating automated tests into CI/CD pipelines (Azure DevOps or GitHub Actions), Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent), Familiarity with contract testing and consumer-driven contracts, Experience validating asynchronous systems, Strong scripting skills, Upper-intermediate English level 📃 Skills: JavaScript, TypeScript, Java, Python, AWS, Lambda, APIGateway, DynamoDB, SQS, SNS, REST, CI/CD, AzureDevOps, GitHubActions, GitHubCopilot, Claude, ContractTesting, Microservices, PerformanceTesting, LoadTesting, Scripting 🏢 Description: ID72456 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior QA Automation Engineer to own quality strategy for serverless middleware services powering ordering, loyalty, payments, and third-party integrations across a major consumer platform. You will design and maintain automated test suites for RESTful APIs and event-driven architectures on AWS, execute performance and load testing, validate partner integrations including delivery and payment platforms, and integrate quality gates into CI/CD pipelines using Azure DevOps and GitHub Actions. The role expects active use of AI-assisted tools as a core part of daily quality engineering work. What you will do Build automated test frameworks for serverless applications; Validate event-driven workflows and asynchronous messaging; Execute performance and load testing; Validate resiliency and failure scenarios; Design, build, and maintain automated test suites covering functional, integration, and contract testing for middleware APIs and services ensuring correct behavior in isolation and across dependencies; Leverage AI-assisted tools for test case generation, synthetic data creation, failure analysis, and coverage documentation; Own performance and reliability validation including load, stress, spike, and soak testing, establishing baselines and identifying bottlenecks; Partner with engineers throughout the development cycle to align on test strategy, acceptance criteria, and CI/CD integration via Azure DevOps or GitHub Actions; Validate third-party integrations through contract testing, sandbox/staging validation, and failure mode analysis; Track and report quality metrics, maintain documentation, and contribute to incident post-mortems. Must haves 4+ years of quality engineering or software engineering experience focused on backend API testing; Experience designing automated test suites for REST APIs in distributed or microservices environments; Hands-on experience with performance and load testing; Proficiency in JavaScript/TypeScript , Java , or Python ; Working knowledge of AWS serverless services (Lambda, API Gateway, DynamoDB, SQS/SNS); Experience integrating automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions); Proficiency with AI-assisted development tools (GitHub Copilot, Claude, or equivalent); Familiarity with contract testing approaches and consumer-driven contracts; Strong analytical and root-cause analysis skills, including distinguishing flaky tests from real defects; Experience validating asynchronous systems; Strong scripting skills; Clear communication and ability to translate test findings into engineering priorities; Collaborative approach to working within engineering sprints; Upper-intermediate English level. Nice to haves Experience with k6, Gatling, JMeter, or similar performance testing tools; Postman/Newman experience; Familiarity with Pact or other contract testing tools; Cognito authentication testing experience; Delivery and payment integration testing experience; Experience with DoorDash, Uber Eats, or similar marketplace APIs; Chaos engineering and fault injection (AWS FIS or similar); Observability tooling experience (Dynatrace, Datadog, CloudWatch); Multi-region AWS testing and failover/latency validation; Background in QSR, retail, or e-commerce domains; AWS Certified Developer – Associate or higher. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!