Staff NPI Manufacturing Engineer

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

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

🏢 Summary: 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: 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 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: Senior Advanced Manufacturing Engineer role focused on developing and scaling automated machining, assembly, anodizing, inspection, and cleaning processes for high-precision automotive, aerospace, and defense production. The position combines hands-on production support, CNC programming, process optimization, metrology, and manufacturing automation to improve throughput, quality, and scalability. Candidates will lead technical execution across machining and manufacturing operations while driving continuous improvement and DFM initiatives. 🗂️ Requirements: Bachelor's degree in Mechanical, Manufacturing, or Industrial Engineering or equivalent experience, 8+ years of experience in aerospace or defense industries, Hands-on experience with additive manufacturing, robotics, coatings, and inspection/quality, Direct experience with machining, additive manufacturing, coatings, and inspection/quality, Proficiency with CAD/CAM software, Advanced knowledge of CNC machining, Advanced knowledge of GD&T, Experience with tooling and metrology, Experience evaluating, selecting, and commissioning manufacturing machines, Ability to work in cross-functional teams, Ability to manage multiple projects simultaneously, Ability to lawfully access US export-controlled information and technology 📃 Skills: SiemensNX, AutoCAD, CAD, CAM, CNC, GD&T, Metrology, Robotics, Automation, Machining, Anodizing, Inspection, Additive, Manufacturing, DFM, Calibration 🏢 Description: Purpose This role serves as the technical bridge between design/manufacturing engineers and the production team, with a core focus on developing scalable, high-reliability automated, machining, & inspection processes. This person is responsible for driving process improvements, solving complex production challenges, and helping to eliminate part flow blockers. Rather than simply supporting products, this engineer leads process innovation enabling rapid iteration, increasing production efficiency, and helping scale capabilities to meet program demands. The Role As the Senior Advance Manufacturing engineer, you will lead the development, execution, and continuous improvement of day-to-day operations for machining, automated assembly, automated anodize, inspection, & cleaning work centers. You'll be one of the primary technical resources supporting these areas with troubleshooting production issues, refining the processes, and enabling scalability through smart programming, tooling/fixturing, documentation, and workflow improvements. This role is hands-on, fast-paced, and essential to delivering high-precision, high-reliability hardware across automotive, aerospace, and defense programs. The ideal candidate is well versed in aerospace production environment and has direct experience with supporting the production floor, DFM, machining, assembly, coating, metrology, & thrives on solving complex shop floor problems, and brings a strong process mindset to drive quality, speed, and consistency. Key Responsibilities Operations Support - Own daily production execution, working directly with production floor to resolve issues, and ensure steady throughput. - Develop and implement best practices, processes, strategies, and calibration procedures to improve operational capacity. - Monitor utilization and WIP flow through the work centers, help push/pull work as needed to maintain alignment with production targets. Technical Execution - Act as the technical bridge between design/manufacturing engineering and production teams. - Lead development, execution, and continuous improvement of machining, automated assembly, automated anodize, inspection, and cleaning work centers. - Collaborate on programming for 3-axis, 3+2, and 5-axis CNC mills using Siemens NX CAM software. - Provide feedback using advanced understanding of GD&T, tooling, feeds/speeds, and fixturing. - Introduce standardized strategies, programming conventions, and setup documentation to improve consistency and reduce cycle time. - Leverage metrology and inspection expertise to drive quality assurance in production. Process Development & Scalability - Help lead efforts to integrate new machines, equipment, tools, and fixturing into production; support commissioning. - Co-drive design-for-manufacturing (DFM) conversations with Manufacturing engineering to improve part manufacturability and reduce complexity at the machine. - Develop and implement innovative fixturing strategies tailored for complex additive manufactured geometries. - Support integration of automated machining technologies to enhance scalability and precision. Continuous Improvement & Documentation - Analyze data to identify trends, inefficiencies, and root causes of scrap or delays; implement corrective actions and process improvements. - Create and maintain detailed documentation to ensure consistency and repeatability across shifts and teams. - Collaborate with software and data teams to integrate production metrics and feedback loops into real-time dashboards and planning systems. Basic Qualifications - Ability to lawfully access information and technology that is subject to US export controls - Bachelor's degree in Mechanical, Manufacturing, or Industrial Engineering, or equivalent hands-on experience - 8+ years of experience in aerospace or defense industries - Hands-on experience with advanced manufacturing techniques, including additive manufacturing, robotics, coatings, and inspection/quality - Direct experience with machining, additive manufacturing, coatings, and inspection/quality - Proficiency in CAD/CAM software (e.g., Siemens NX, AutoCAD) - Advanced knowledge of CNC machining, structure assembly, GD&T, tooling, and metrology - Experience evaluating, selecting and commissioning machines to meet manufacturing capabilities - Excellent problem-solving skills and ability to innovate in a fast-paced environment - Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams - Ability to work on multiple projects and initiatives in parallel Preferred Qualifications - Master's degree in mechanical, manufacturing, or aerospace engineering - Experience with robotic machining systems and calibration methodologies - Experience with manufacturing automation in automotive or aerospace environments Work Environment - This is a hands-on position that will require standing for long durations of your day and working directly with hardware on the floor - Must be comfortable stooping, bending, and standing - Position may require occasional travel, long hours or weekend work Compensation - Senior Engineer / E05: $122,400 - $168,300 - Pay Range: $91,800—$168,300 USD What We Offer - Competitive salary, equity plan, and discretionary incentive bonus opportunities - Paid vacation, sick time, company holidays, and year-end shutdown - Paid parental leave - Comprehensive health and wellness benefits including HMO and PPO options - Company-sponsored life insurance and disability coverage - Learning and development reimbursement opportunities - Collaborative and high-performing work environment Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable protected characteristic. In order to adjust to changes in business needs, duties and responsibilities may be modified or reassigned as needed. E-Verify The company participates in E-Verify to confirm employment eligibility in the United States after completion of Form I-9. Los Angeles Fair Chance Initiative for Hiring Ordinance Qualified applicants with arrest and conviction records will be considered for employment pursuant to applicable regulations.

🏢 Summary: Lead a multidisciplinary manufacturing engineering team to develop and scale advanced production processes for aerospace and defense applications using the Divergent Adaptive Production System. The role focuses on design-for-manufacturing, automation, additive manufacturing, and process optimization while ensuring production quality, scalability, and cost efficiency. Candidates will drive complex manufacturing projects, mentor engineers, and collaborate across engineering and production teams. 🗂️ Requirements: Bachelor's degree in mechanical engineering, manufacturing engineering, or related discipline, 3+ years in a manufacturing engineering leadership role, 8+ years of manufacturing engineering experience, Experience in aerospace or defense industries, Proficiency with CAD software, Strong understanding of GD&T, Experience with MES systems, Experience with PLM systems, Experience with ERP systems, Hands-on experience with additive manufacturing, Hands-on experience with robotics and automation, Experience leading projects from concept through production, Ability to access US export-controlled information and technology 📃 Skills: CAD, SiemensNX, AutoCAD, GD&T, MES, PLM, ERP, AdditiveManufacturing, Robotics, Automation, Machining, Assembly, Bonding, Coatings, Joining, Lean, SixSigma, AS9100, ISO9001 🏢 Description: Purpose Guide the integration of cutting-edge manufacturing technologies into production, ensuring reliability, cost efficiency, and quality. This role shapes the future of manufacturing by enabling new processes, supporting high-mix hardware, and mentoring engineers to deliver industry-leading results. The Role - Lead a multi-disciplinary team of manufacturing engineers responsible for driving design-for-manufacturing, process development, and implementation of advanced manufacturing methods across the manufacturing architecture. - Oversee manufacturing requirements, process specifications, and root cause investigations to ensure reliable, high-quality production. - Set team priorities, track projects, and mentor engineers to achieve critical company milestones. - Develop industry-leading approaches to manufacturing process qualification, production scalability, and automation. - Implement advanced manufacturing strategies in areas such as machining, additive manufacturing, assembly, bonding, coatings, and joining. - Identify and deploy novel manufacturing technologies to improve quality, reduce cost, and increase throughput. - Collaborate closely with design, materials, quality, and production teams to influence hardware design and production readiness. Basic Qualifications - Ability to lawfully access information and technology that is subject to US export controls. - Bachelor's degree in mechanical engineering, manufacturing engineering, or a related discipline. - 3+ years of experience in a leadership role within manufacturing engineering. - 8+ years of experience in manufacturing engineering, with significant exposure to aerospace or defense industries. - Proficiency in CAD software such as Siemens NX and AutoCAD. - Strong understanding of Geometric Dimensioning and Tolerancing (GD&T). - Experience with Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and Enterprise Resource Planning (ERP) systems. - Hands-on experience with advanced manufacturing techniques including additive manufacturing, robotics, and automation. - Proven track record of leading complex projects from concept through production focused on high-performance materials and high-reliability applications. Preferred Qualifications - Master's degree in a relevant engineering discipline. - Lean Six Sigma certification or equivalent expertise in continuous improvement methodologies. - Familiarity with quality management systems such as AS9100 or ISO 9001. - Ability to thrive in a high-tech, fast-paced startup environment. Compensation - Senior Manager / M07: $165,800 - $227,950 - Pay Range: $142,900—$227,950 USD What We Offer - Competitive compensation package including salary, equity plan, and performance-based bonus opportunities. - Paid vacation, sick time, company holidays, year-end shutdown, and paid parental leave. - Comprehensive health and wellness benefits including HMO and PPO options, life insurance, and disability coverage. - Reimbursement opportunities for learning and development initiatives. - Collaborative, high-performing, mission-driven work environment focused on manufacturing innovation. Equal Employment Opportunity All qualified applicants will receive consideration for employment without regard to protected characteristics in accordance with applicable laws. E-Verify The company participates in E-Verify to confirm employment eligibility in the United States. Additional Information Job duties and responsibilities may change based on business needs, including special projects or reassignment to other work.

🏢 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: Product Engineer role focused on improving reliability, standardization, and scalability of deployed robotic automation systems by translating field data into validated engineering enhancements. The position bridges field performance and product design, leading system improvements across mechanical, electrical, controls, and safety domains. It involves hands-on automation expertise, cross-functional collaboration, and ownership of enhancement projects from analysis through rollout. 🗂️ Requirements: Hands-on experience building, commissioning, or supporting automated systems, Strong background in industrial robotics and automation integration, Ability to read and interpret electrical schematics, Understanding of automation design principles, Working knowledge of mechanical systems, pneumatics, motion components, PLCs, and safety systems, Ability to navigate CAD in 2D and 3D environments, Experience in manufacturing or production environments, Proven ability to translate engineering data into scalable product improvements 📃 Skills: Robotics, Automation, PLCs, CAD, Pneumatics, Motion, Electrical, Schematics, Safety, Manufacturing 🏢 Description: Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. About the team: The Automation Engineering Team delivers robotics-driven automation deployments across a wide range of customer applications. The team partners cross-functionally to translate customer requirements into deployed systems, ensuring solutions are integrated, commissioned, and validated to perform reliably in real manufacturing environments. About the role: As a Product Engineer, you will drive fleet-wide reliability, standardization, and system evolution across deployed robotic automation systems. You will identify recurring field issues, evaluate feature requests, and translate operational feedback into durable, scalable engineering improvements. This role bridges field performance and product-level design. You will convert real-world system data into validated enhancements, structured documentation, and implementation-ready updates that improve reliability, reduce repeat failures, and strengthen long-term system sustainability. In this role you will: - Identify recurring performance issues across deployed systems and define structured improvement initiatives - Analyze mechanical, electrical, controls, and safety data to develop validated engineering enhancements - Design scalable solutions that improve reliability, performance, and maintainability - Develop implementation-ready documentation, drawings, and hardware packages for field deployment - Lead enhancement projects from definition through validation and rollout - Partner closely with Field Service and Customer Success to ensure alignment and long-term adoption - Standardize improvements to prevent one-off fixes and reduce fleet variability - Collect and structure engineering data to inform product evolution - Support new product initiatives by incorporating field-driven insights into system design What makes you a great fit: - Hands-on experience building, commissioning, or supporting automated systems - Strong background in industrial robotics and automation integration - Ability to read and interpret electrical schematics - Solid understanding of automation design principles - Working knowledge of mechanical systems, pneumatics, motion components, PLCs, and safety systems - Comfort navigating CAD in 2D and 3D environments - Understanding of manufacturing and production environments - Strong organizational and project leadership skills - Proven ability to translate structured engineering data into scalable product improvements Our Total Rewards: - Equity participation through stock options - Competitive and uncapped commission structure for eligible roles - Comprehensive medical, dental, and vision insurance with high employer contribution - FSA and DCFSA, life insurance, short-term and long-term disability (employer-paid) - Employee Assistance Program (EAP) - Up to 12 weeks of paid parental leave - Company-sponsored 401(k) - Home office stipend for remote and hybrid employees - Monthly cell phone reimbursement - Flexible paid time off policy Compensation Range: $105,000—$165,000 USD