🏢 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: 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 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: 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 developing low-latency real-time control, communication, and operator interface systems while collaborating across AI, controls, hardware, and operations teams. This hybrid U.S.-based role includes competitive compensation, equity, benefits, and opportunities to shape scalable humanoid robotics deployments. 🗂️ Requirements: 8+ years experience in robotics or real-time systems, Experience delivering production-quality software, Deep understanding of real-time control systems, Knowledge of motion retargeting, Knowledge of rigid body dynamics, Experience designing low-latency communication systems, Experience with real-time streaming systems, Strong debugging and analytical skills, Experience integrating VR or motion capture input systems, Ability to collaborate across technical teams, Current authorization to work in the United States 📃 Skills: Robotics, Teleoperation, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Networking, Streaming, Simulation, Debugging, Rendering, Visualization, 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, the company is 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 the scaling of a production humanoid robot fleet. 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 is a hybrid position based out of one of the Salem, Pittsburgh, or Fremont offices. Anticipated Salary Range $222,000—$346,000 USD In addition to base pay, the total rewards package consists of the following for full-time employees: - 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 eligibility starting on the 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 snacks at Salem and Pittsburgh locations - Generous paid parental leave programs - 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. Agility Robotics is committed to equal employment opportunity and maintaining a professional work environment free from discrimination and harassment.

🏢 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: 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!

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Backend Engineer role focused on designing and building scalable serverless middleware services for digital ordering, payments, loyalty, and third-party integrations on a major consumer platform using AWS and Node.js/TypeScript. The position emphasizes event-driven architecture, infrastructure as code, secure authentication, and active use of AI-assisted development tools. It involves API development at scale, cloud-native deployments, and collaboration on high-quality, secure backend systems. 🗂️ Requirements: 4+ years of backend development experience, Experience building and operating RESTful and/or GraphQL APIs at scale, Proficiency in JavaScript or TypeScript, Experience with serverless architectures on AWS (Lambda, API Gateway, DynamoDB, SQS/SNS), Experience with CI/CD pipelines and Git-based source control workflows, Familiarity with Infrastructure as Code (Terraform or CloudFormation), Understanding of event-driven architecture, webhooks, async messaging, pub/sub, Experience integrating with third-party and vendor APIs, Strong debugging and production incident management skills, Upper-intermediate English level 📃 Skills: JavaScript, TypeScript, Node.js, AWS, Lambda, API Gateway, DynamoDB, SQS, SNS, Terraform, CloudFormation, Git, GitHub, Azure, REST, GraphQL, Cognito, OAuth2, OpenID, Datadog, Dynatrace, CloudWatch, Akamai, CloudFront, CI/CD 🏢 Description: ID72455 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 Backend Engineer to design and build scalable middleware services powering digital ordering, payments, loyalty, and third-party integrations across a major consumer platform. You will develop serverless applications using AWS Lambda and API Gateway, build Node.js/TypeScript microservices, design event-driven architectures with SQS/SNS, and implement infrastructure as code with Terraform. The role includes active use of AI-assisted development tools as a core part of the daily engineering workflow. What you will do Develop serverless applications using AWS Lambda and API Gateway; Build and maintain Node.js/TypeScript microservices; Design event-driven architectures using SQS/SNS; Build infrastructure as code using Terraform; Leverage AI-assisted development tools (GitHub Copilot, Claude, and similar) as a core part of daily engineering work — from code generation and refactoring to test coverage and documentation. Champion AI tooling adoption across the team; Create integrations with delivery providers and payment platforms; Collaborate with business stakeholders and product teams to understand functional and technical requirements; translate those into scalable, maintainable architecture and implementation plans; Conduct constructive code reviews and provide technical design guidance to peers and junior engineers, raising the overall quality and consistency of team output; Enforce data governance, security policies, and compliance standards throughout the software development lifecycle; Implement secure authentication and identity flows using Amazon Cognito. Must haves 4+ years of backend development experience ; Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale; Strong proficiency in one or more of: JavaScript/TypeScript (Node.js, Java, or C#) ; Experience with serverless architectures on AWS ( Lambda , API Gateway , DynamoDB , SQS/SNS ); Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale; Experience with CI/CD pipelines and source control workflows (Git, GitHub Actions, Azure DevOps); Familiarity with Infrastructure as Code ( Terraform or CloudFormation); Solid understanding of integration patterns: event-driven architecture, webhooks, async messaging, and pub/sub; Experience integrating with third-party platforms and vendor APIs (e.g., delivery aggregators, POS systems, loyalty platforms, or similar ecosystem partners); Ability to translate ambiguous business requirements into clear technical specifications; Collaborative mindset with a willingness to give and receive candid code review feedback; Strong debugging, root-cause analysis, and production incident management skills. Upper-intermediate English level. Nice to haves DoorDash, Uber Eats, or similar delivery integrations; Payment platform integrations; Restaurant, retail, or QSR experience; Amazon Cognito expertise; Experience with multi-region AWS deployments and global traffic management (Akamai, CloudFront); Familiarity with identity and authentication patterns: OAuth 2.0, OpenID Connect, AWS Cognito; Hands-on experience with observability platforms (Dynatrace, Datadog, CloudWatch); Experience prompting, fine-tuning, or orchestrating LLMs/AI agents as part of a software delivery workflow; Experience in QSR, retail, or e-commerce domains; AWS Certified Developer – Associate or higher; Exposure to React Native or cross-platform mobile app integration patterns. 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: Backend Software Engineer role focused on building and scaling integrations for public safety platforms using Java and Spring Boot. The position involves developing REST, SOAP, and GraphQL integrations, designing cloud-based workflows, and improving reliability across RMS, CAD, and Booking systems. The role emphasizes clean architecture, automated testing, and collaboration within Agile teams. 🗂️ Requirements: Bachelor's degree in Computer Science or related field, 3+ years of software engineering experience, Strong Java experience, Spring, Experience with REST APIs, Experience with SOAP, Experience with GraphQL, SQL proficiency, Experience with automated testing, Experience with Agile methodologies, Clean and maintainable coding practices, Upper-intermediate English 📃 Skills: Java, Spring, SpringBoot, REST, SOAP, GraphQL, SQL, Agile, Testing, React, AWS, Kubernetes, Docker, Terraform, Prismatic, Boomi, Workato 🏢 Description: About the role We are looking for a Software Engineer to join an Integrations team building and scaling mission-critical systems that connect a public safety platform with third-party tools including 911 call centers, state databases, and external agency systems. You will design and build integration workflows using Java and Spring Boot, develop REST, SOAP, and GraphQL API integrations, and contribute to reliable data pipeline architecture supporting Records Management, Computer-Aided Dispatch, and Booking products. The role is backend-focused and emphasizes clean, testable, and well-documented integration solutions. What you will do - Build and maintain integrations between the platform and third-party client systems - Develop integration workflows using modern integration platforms and custom services with Java - Enhance Records Management System (RMS), Computer-Aided Dispatch (CAD), and Booking products with scalable integration capabilities - Design secure, reusable, and well-architected cloud-based integration solutions - Write tests, debug production issues, and improve system quality and reliability - Contribute to technical documentation and automated build and deployment processes that improve engineering efficiency - Participate in code reviews and contribute through a pull request-based development process - Collaborate with engineers, product managers, and cross-functional partners to deliver robust integration solutions Must haves - Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience - 3+ years of professional software engineering experience - Strong experience with Java and the Java ecosystem, including Spring Boot - Experience designing and building integrations with RESTful APIs, SOAP, and GraphQL - Familiarity with database technologies and proficiency with SQL - Experience with automated testing and Agile development methodologies - Ability to write clean, maintainable, and easy-to-understand code - Strong collaboration skills and the ability to build cooperative working relationships with teammates - Upper-intermediate English level Nice to haves - Experience with React - Familiarity with AWS, Kubernetes, Docker, and Terraform - Experience with integration platforms such as Prismatic, Boomi, Workato, or similar tools - Exposure to event-driven architectures and distributed systems Benefits - Professional growth with mentorship, TechTalks, and personalized growth roadmaps - Competitive USD-based compensation and budgets for education, fitness, and team activities - Opportunity to work on projects with Fortune 500 enterprises and leading product brands - Flexible work schedule with remote and office options Recruitment Process Asynchronous stage: - Short online form to confirm basic requirements - 30–60 minute skills assessment via Codility - 5-minute introduction video Synchronous stage: - Technical interview with the engineering team - Final interview with future teammates If selected, an offer will be extended.