About The Role

Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop autonomous behaviors for humanoid robots to interact with the world around it. You will work closely with state estimation, navigation, and controls teams to execute behaviors aimed at solving challenging problems in real-world deployments.

About The Work

• Design, implement, test, and deploy autonomous behaviors for humanoid robots
• Prototype autonomous behaviors in simulation and execute on robot hardware
• Develop algorithms robust to environmental uncertainty and imperfect state estimation
• Implement performance tests for evaluating the reliability of robot behaviors
• Contribute to the software architecture and design of the autonomy stack
• Collaborate with members of the autonomy teams to solve complex cross functional problems
• Engineer high quality software that is well tested, reliable and maintainable

About You

• Industry experience deploying mobile manipulation robots in real world applications
• Experience developing manipulation algorithms on high-DOF robots
• Familiarity with behavior trees, finite state machines, or similar behavior management and execution systems
• Experience with perception and scene understanding especially as it pertains to manipulation
• Strong robotics fundamentals, including kinematics, dynamics, sensing, and control
• Experience using simulation tools such as Isaac Sim / Mujoco / Drake / gazebo or similar
• Experience with automated testing for simulation
• Strong debugging skills; the ability to identify and diagnose complex issues that arise within robotics
• Strong software experience in modern C++ and Python

Bonus Qualifications

• Experience working with humanoid (or similar) robots
• Experience leveraging machine learning to improve grasp planning and object manipulation
• Experience in classical robotics motion planning and trajectory optimization algorithms
• MS or Ph.D. in robotics, computer science, or related field or have equivalent industry experience
• Publications in your field (RSS, ICRA, IROS preferred)

We are open to remote candidates, but a prefer this role to be 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.

About the Role

As a Staff Systems Engineer at Agility Robotics, you'll be the technical leader defining and delivering system-level architecture for our humanoid robot platform, with focus in functional safety requirements integration. Working within a high-impact Systems Engineering team, you'll take ownership of complex safety-critical requirements, cross-functional interfaces, and system-level integration—bringing clarity and structure to incredibly complex safety-critical systems.

This role is ideal for a hands-on technical leader with functional safety expertise who thrives in ambiguity, takes initiative without waiting for permission, and has a passion for building real safety-critical systems fast. You'll help shape how Systems Engineering and Functional Safety integration is applied in a fast-moving startup, balancing the rigor of safety standards with the agility and pragmatism needed to ship products.

Key Responsibilities

Robotics Development 

• Requirements Management: Define system and subsystem architectures spanning all domains (mechanical, electrical, firmware, and software) with embedded functional safety, and drive trade studies to balance safety, performance, cost, and execution speed.
• V&V Definition : Define, own, and decompose detailed, verifiable requirements in Jama that can be delivered to Integration and Testing teams for Verification and Validation.
• Interface Definition: Lead development and maintenance of Interface Control Documents (ICDs), managing implementation-specific details for hardware and software interfaces, including message structures, pinouts, and bolt patterns.
• Operational Definitions: Define the sequence of operations between major elements and users using narrative Concept of Operations (ConOps), swimlane diagrams, and/or logical flow charts.
• Test Support: Align system requirements with test plans to ensure coverage across the entire safety system. Drive system-level verification of safety requirements through integration testing and track design differences between test setups and the intended design to determine technical risk.

Operational Support and Technical Leadership 

• Safety Tracking & Monitoring: Regularly check and confirm that the safety system's performance meets all specified requirements under live operating conditions.
• Change and Modification Management: Ensure that any modification to the system's hardware or software that impacts safety must be strictly validated to maintain safety integrity and prevent the introduction of new risks.
• Failure Analysis and Investigation: Actively participate in safety assessments and root cause investigations, collaborating with non-safe software and hardware development teams to prevent systemic faults.
• Operational Sustainment: Work closely with Commercial and Product teams to ensure that critical safety mechanisms and processes are maintained at customer sites, including emergency stop and human detection.
• Cross-Functional Alignment and Leadership: Facilitate cross-functional decisions when safety requirements conflict with performance, cost, or schedule constraints, and identify technical and safety risks to influence system decisions.

Qualifications

• 8+ years of Systems Engineering experience in safety-critical domains: robotics, aerospace, automotive, medical devices, or similar multidisciplinary hardware/software systems
• 3+ years working on system safety or functional safety projects and use of functional safety standards such as ISO 13849, IEC 61508, ISO 26262, IEC 62061, or similar
• Demonstrated experience leading system-level integration, architecture, and requirement management efforts
• Previous experience in high-growth, fast-paced environments where self-direction and bias for action are essential
• Experience with safety-critical robotics or autonomous systems strongly preferred

Technical Skills & Safety Expertise

• Understanding of safety lifecycle processes, hazard analysis (HARA, HAZOP, FTA, FMEA), safety integrity levels, and safety architecture principles
• Expert-level skills in authoring safety requirements, managing traceability, and defining cross-functional safety interfaces
• Strong familiarity with the V-model approach to safety-critical systems engineering, including how to adapt it for rapid development environments
• Proficiency in using safety analysis tools (e.g., ANSYS medini analyze, PTC Windchill FTA, ItemIS) and requirements management platforms (Jama, DOORS, Polarion).
• Ability to collaborate closely with Test Engineering to develop and execute system-level safety verification and validation strategies.

Preferred Qualifications

• Advanced degree (MS/PhD) in Systems Engineering, Electrical Engineering, Mechanical Engineering, or related field
• Experience with collaborative or mobile robotics in industrial environments
• Background in AI/ML safety considerations for autonomous systems
• Experience mentoring junior engineers in safety-critical system development
• Knowledge of regulatory compliance processes for robotics in manufacturing environments

About the Team:

Our mechanical engineering team is agile and has grown rapidly, and we are looking for a talented engineer to join us in the San Francisco Bay Area. We are responsible for delivering advanced and reliable designs that meet a complex set of requirements to our customers, including software developers, applications engineers, manufacturing engineers and ultimately to fleet deployment managers. We work as a group to develop new technologies, engineer new products, and refine/maintain existing designs. The team is composed of engineers from many backgrounds and levels of experience. 

About The Role:

We are designing the next generation of Digit Humanoid Robot for commercial scale. Highly reliable and robust designs are critical to successful deployment of our robots in large quantities. Digit works in demanding environments, performing highly repetitive and heavily loaded tasks. The Mechanical Engineer will work closely with other mechanical engineers and cross functional teams to develop the next generation Digit.  This role will own multiple mechanical and electro-mechanical parts/assemblies and will be responsible for the design, prototyping, and DFx for those parts. This is a hybrid role, requiring you to be at our San Francisco Bay Area (Fremont) facility at least 3-days a week and occasional travel to the RobotFab facility in Salem, Oregon.

About the work:

• Own the 3D and 2D design of electromechanical components and subassemblies, including prototyping of parts and subsystems.
• Collaborate with multidisciplinary teams (electrical, industrial design, software, test, and manufacturing) to define requirements and develop design concepts.
• Perform engineering analyses to validate design decisions, including supporting structural and thermal analyses.
• Present and participate in cross-functional design reviews of parts and subsystems.
• Support root cause investigations and implement improvements to enhance Digit robustness.
• Contribute to the development and documentation of mechanical engineering processes.
• Track progress and document design work using Jira and Confluence.
• Deliver quality results within established schedules, budgets, and priorities.
• Create and maintain comprehensive design documentation.
• Travel requirement (25% travel to Salem, Oregon).

About you:

• 0 - 3 years of mechanical design experience.
• B.S. or M.S. in Mechanical Engineering or equivalent is a minimum requirement.
• Demonstrable experience in designing and building mechanisms, assemblies and electronics packaging, ideally in robotics. 
• Knowledge of various types of motors, encoders, sensors, power transmission, and drive-train-related components such as gears, splines, lead screws, linear guides, harmonic drive actuators, etc. 
• Experience prototyping, characterising, testing and optimizing actuators for torque, stiffness, backlash, efficiency and cost.
• Experience in mechanical analysis including modeling, tolerance stacks, static and dynamic analysis, FEA and thermal analysis.
• Expert CAD user and familiarity with either Solidworks, Siemens NX, Creo or Onshape.
• Ideal candidates will have a portfolio showing their prior work and projects.
• Ability to be on-site at Agility’s design facility as needed (minimum 3 days per week).

Preferred Skills and Experience:

• Robotic design experience
• Transmission/actuator design experience
• Advanced degree in engineering or science or robotics
• Jira/Confluence experience
• PLM and PDM experience
• Creo and Windchill experience

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About the Role

We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot’s capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them.

Key Responsibilities

• Own the design, implementation, and validation of complex humanoid robot behaviors.
• Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling.
• Build new autonomy capabilities that expand what the robot can reliably do in the real world.
• Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments.
• Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems.
• Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows.
• Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack.
• Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation.
• Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance.
• Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors.

About You

• B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field.
• 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities.
• Demonstrated experience as a tech lead or senior technical owner for complex robotics projects.
• Proficient in Python and C++, and comfortable contributing to large, long-lived codebases.
• Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks.
• Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots.
• Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability.
• Experience collaborating closely with perception, planning, controls, hardware, product, or field teams.
• Strong ownership mindset with a focus on robustness, generalization, and real-world reliability.

Bonus Qualifications

• Experience developing manipulation strategies for complex or unstructured environments.
• Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies.
• Experience deploying and supporting autonomous robots in real customer environments.

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA 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.

About the Role

We are looking for a Staff Robotics Software Engineer to join our Skills team, focusing on object perception for robot manipulation. This technical leadership role is deeply rooted in production robotics, where reliability, performance, and system behavior matter most. You will focus on integrating, adapting, and operationalizing perception systems within a full robotic stack, ensuring they perform robustly on real hardware in real environments.

In this high-impact role, you will act as a key decision-maker within the perception and skills stack, helping define system architecture, design principles, and technical direction across how perception connects to planning, control, and execution. You will shape how these systems come together end-to-end, influencing both current execution performance and the long-term scalability of the platform.

You will also work closely with AI/ML teams, evaluating and incorporating both learned and classical approaches, while driving the engineering decisions that turn models and algorithms into reliable, production-grade robot behavior.

About the Work

• Own object perception performance on the robot, from sensors through runtime behavior integration
• Lead the design, implementation, and deployment of perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
• Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
• Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
• Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
• Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
• Define interfaces and contracts between perception, behaviors, and task planning to ensure reliable execution
• Build tools and workflows to evaluate perception performance across datasets, simulation, and hardware
• Help set technical direction and best practices for building robust, production-grade perception systems that are reliable, debuggable, and scalable in real-world robotic environments

About You

• B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field
• 8+ years of professional experience building object perception systems for real robotic platforms
• Demonstrated experience as a tech lead or senior technical owner for complex robotics projects
• Experience working across learned models and classical perception approaches
• Experience training, fine-tuning, and evaluating perception models
• Strong experience writing production-quality C++ and Python code
• Hands-on experience with monocular vision, stereo vision, RGB-D sensing, or depth reconstruction
• Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
• You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
• You’re excited to work on hardware
• You enjoy debugging, testing, and iterating quickly in simulation and on the real robot

You Might Also Have

• Solid understanding of spatial reasoning 
• Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
• Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)

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.

Role Overview:
We are seeking a Systems Integration Engineer specialized in Software Issue Triage and Root Cause Analysis (RCA). Your main function is to conduct remote triage, utilizing log parsing, telemetry data, and video analysis, to identify failures with software root causes and ensure they are accurately dispositioned to the appropriate SW development teams. You will conduct deep-dive root cause analysis on novel failures occurring at the hardware-software interface, while simultaneously architecting the diagnostic scripts and tools required to streamline these investigations.

In this role you will move beyond basic data review to navigate ambiguous failure modes, develop automated diagnostic scripts, and create the technical documentation that drives software reliability across the fleet.

Issue Triage

• Serve as a lead voice in the triage process, providing the expertise required to classify complex failures specifically as software, firmware, or system-level regressions.
• Effectively disposition identified issues to the software organization, providing clean tickets (logs, video clips, and analysis) that allow developers to act quickly.
• Manage and prioritize escalated SW-related investigations, making informed trade-offs to ensure that critical safety or performance risks are addressed first.

Root Cause Analysis

• Lead end-to-end investigations into novel failures using deep-dive log review, telemetry analysis, and video diagnostics to pinpoint bugs at the software/hardware interface or unexpected system behaviors.
• Develop and execute scripts or other data visualization tools to parse massive log sets and identify intermittent failure trends.
• Leverage structured methodologies such as 5-Whys or Fishbone to move from a surface-level symptom to a definitive root cause. 

Continuous Improvement

• Author and maintain "Gold Standard" RCA reports and troubleshooting guides that improve the technical autonomy of the broader triage team.
• Promote a culture of rigorous documentation and data-driven problem-solving.
• Create reusable diagnostic frameworks that automate the identification of known software issues, increasing the efficiency of the entire R&D loop.

Qualifications:

Experience:

• 4+ years of experience in Systems Integration, Software-Hardware interface, or R&D with a focus on software on complex mechatronic or autonomous systems.
• Proven experience using monitoring and observability platforms (e.g., Datadog, Splunk, or New Relic) to track system health and identify performance anomalies across a fleet.
• Experience interacting with cloud-based storage and databases (e.g., AWS S3, SQL, or NoSQL) to retrieve and manage large-scale telemetry and video datasets.
• Proven track record of navigating highly ambiguous software-hardware intersections to find definitive root causes.
• Experience creating technical documentation or bug reports intended for software engineering audiences.
• Preferred: Experience with HW/SW integration and design on HiL. 

Technical Expertise:

• Mastery of log parsing via CLI and proficiency in using Python or similar scripting languages for data visualization and failure trend analysis.
• Familiarity with database environments, specifically regarding data retrieval and log management.
• Experience correlating video and/or HW symptoms with system telemetry to identify physical manifestations of software bugs.
• Strong understanding of software stacks in robotics, including communication protocols (e.g., EtherCAT, CAN) and how they manifest in system logs.
• Preferred: Experience with characterizing or troubleshooting  HW/SW interactions such as cameras, encoders, IMUs, or other sensors. 

Skills:

• Ability to tackle  ambiguous, unprecedented problems and create reusable, scalable solutions.
• Capacity to operate independently on  initiatives and proactively anticipate the needs for effective and efficient triage and RCA.
• Exceptional ability to synthesize complex telemetry and video data into clear, actionable insights for software engineering stakeholders.

Education:

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.

This is an hybrid position at our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About the Role

At Agility Robotics, we are building a scalable, sustainable business and are looking to grow our finance team as a critical component of the fuel that will support Agility’s success. We strive to balance forward thinking and bold steps with careful analysis and rigorous controls - and that’s where we need you! We’re looking for a qualified Financial Planning and Analysis Lead that can provide overall financial support and guidance while working closely with department leads to help formulate and refine the strategy and financial projections for the business. You will play an enormously important role by keeping our company’s financial outlook bright with precision and proactive measures. This role will report directly to the Sr. Director of Finance & Accounting.

About the Work

The Financial Planning and Analysis Lead will be responsible for developing insightful analyses that will support timely and effective decision making throughout the organization. You will work closely with senior management and department leads to help develop a long term business plan as well as a detailed annual budget. You will then work to formulate and refine the strategy and financial projections for the business on a quarterly basis. This position requires intense attention to detail and a desire to solve complex business issues.  The key components of the role include:

Budgeting and Forecasting

• Collaborate with business leaders to build annual bottoms-up departmental and organizational budgets. Be a resource for resolving issues and provide training and guidance as needed
• Develop comprehensive reporting of assumptions, financial statements, and operational metrics derived from the budget process for internal and external stakeholders
• Prepare monthly actual to operating budget variances and examine with departmental leaders to determine whether operational changes are required
• Lead headcount modeling & track financial impact on headcount changes
• Generate cash forecasts with visibility into future liquidity needs
• Lead the quarterly re-forecasting process and provide analysis of actual and forecasted variances from original budget
• Lead and deliver on Digital Finance transformation by identifying areas for technology adoption and streamlining
• Perform ad hoc analysis where required to assist in management decision making

Key Performance Indicators (KPI’s)

• Engage with management to identify and track key performance indicators (KPI’s) and bridge analysis to financial performance
• Deliver innovative tools to gather data and construct formats for leadership review and discussion
• Employ data analysis techniques to identify risks and suggest mitigating strategies
• Drive business case preparation and financial return modeling for investment of enterprise resources
• Simplify, standardize, and automate analyses for real-time consumption across a broad audience

Financial Reporting

• Partner with the People Operations team to ensure that confidential headcount information is reconciled monthly and changes are properly reflected in actual and forecasted financial results
• Support the Accounting team in the design, documentation, and maintenance of internal control processes
• Assist in the preparation of financial reports for external parties of interest
• Assist in the preparation for year-end audits
• Performs other duties and special projects as assigned

About You

• Bachelor’s or Master’s Degree in Finance, Accounting, or Business Management and 5+ years related financial or business analysis experience
• Excellent analysis skills and experience with executive presentations
• Thorough knowledge and experience in Microsoft Office and Google Suite, including expertise in Excel & Google Sheets 
• Strong business acumen and exceptional analytical skills to recognize emerging trends in financial data
• Ability to translate and communicate complex financial information to a broad and diverse audience
• Demonstrable experience in leadership, multitasking, and time management
• Possesses excellent interpersonal and communication skills, with the ability to build relationships with internal and external stakeholders

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.

About The Role

The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production.

About the Work

• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and deployment of control policies.
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production

About You

• 3+ years of experience developing and deploying learning-from-demonstration
• Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
• Experience with modern learning-from-demonstration tools like DiffusionPolicy
• Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.
• Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software
• MS in Robotics, Computer Science, or a related field.

Bonus Points

• PhD in Robotics, Computer Science, or a related field.
• Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
• Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
• Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
• Experience with writing performant, high quality software in C++

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.

About the Role

We are looking for a seasoned Product Manager to join our world-class team and lead the development of the monitoring and intervention tools that enable operators to manage fleets of our next-generation humanoid robot, Digit.

This role is ideal for an empathetic product leader who thrives at the intersection of robotics, autonomy, and operations. You will focus on building high-leverage operator-facing products that allow a small number of operators to safely and efficiently supervise a growing fleet of robots.

You will be the day-to-day product manager for our fleet monitoring and operations platform, as well as mapping and incident management workflows. This role will report to the Head of Product and will collaborate closely with the Product Manager for Fleet and operator services on a day to day basis. Your work will directly impact the company’s ability to scale robots without scaling headcount. This hybrid role is based out of our Fremont (CA) or Salem (OR) office(s).

About the Work

Key Responsibilities

• Execute the roadmap for operator-facing interfaces, including monitoring and intervention solutions to support fleets of robots
• Drive improvements in operational scalability, reliability, and observability through supporting interfaces
• Gather, define and implement requirements to support mapping, intervention, operation, and debugging workflows. 
• Work closely with other PMs (robot software, hardware, skills, infra, peripherals) to ensure operational interfaces scale with product needs.
• Work closely with the Senior Staff Product Manager for Fleet to execute on the long-term roadmap.
• Manage the rollout, adoption, and iteration of new tools and workflows with operations teams.
• Prioritize initiatives that reduce operator load, improve recovery speed, and support evolving business needs.
  
  

What this will look like:

• Define Product Requirements: Own product-level requirements for operator interfaces. Translate operational needs into clear, actionable specifications, workflows, and interfaces.
• Drive Technical Execution: Collaborate closely with engineering leads to scope, prioritize, and deliver work. Break down long-term goals into concrete milestones, features, and deliverables.
• Champion Operator Experience: Advocate for improved operational workflows and tools. 

Key Qualifications

• Bachelor’s degree in Computer Science, Engineering, Robotics, or a related technical field
• 5+ years of product management experience, including experience on workflow or operational tooling.
• Familiarity with robotics or other autonomous systems.
• Deep understanding of Agile development practices and iterative product cycles
• Strong experience using project management and collaboration tools such as Jira, Confluence, GitHub, or similar.
• Excellent communication and stakeholder management skills, with the ability to influence and align diverse teams
• Track record of translating complex technical needs into scalable solutions, and managing high-impact infrastructure initiatives from planning through delivery

Bonus Points

• Experience with robotics fleet operations, remote operations, or human-in-the-loop systems
• Experience with mapping or annotation tools
• Understanding of safety-critical systems and operational risk

This hybrid role is based out of our Fremont (CA) or Salem (OR) office(s).

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.

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.

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.

About The Role

This role is integral to the design of the next generation of Digit, aimed at meeting customer needs at a commercial scale. The Senior Manager of Electrical Engineering, reporting to the Director of Electrical Engineering, is responsible for managing, growing and inspiring our talented team of electrical engineers to help ensure the design and development of robust and reliable hardware. Instilling the importance of cross-functional collaboration and driving a sense of urgency is a must.

This position is based in Fremont, CA. Domestic travel of up to 15 percent is required. 

About The Work:

• Manage the hiring, development and performance of your team, team member loading, execution to schedule, design processes and design reviews
• Promote and proliferate the use of best practices, design standards and high quality documentation
• Delivering outstanding results within schedule and budget.
• Build strong relationships with peer managers, and role model cross-team functional collaboration
• Ensure that the team has a safe and collaborative work environment

About You:

• B.S. or M.S. in Electrical Engineering (or equivalent)
• Outstanding analytical and organizational skills
• Experience in embedded controls, high-speed differential signaling, microcontrollers, memory buses, digital design, and power electronics
• Excellent track record of designing PCBAs and understanding of PCB layout and design techniques for EMC compliance
• Experienced in the use of hardware in the loop testing
• Background in design using motors and motor controllers, with emphasis on BLDC motors
• PLM and PDM experience
• Broad design experience relevant to robotics, including embedded systems, high-speed signals, servo drives, Ethernet/EtherCAT, cameras, LIDAR, IMU, CPU/GPU integration, etc.

Preferred to have:

• Advanced degree with robotics experience
• 7+ years of successful experience working as an engineering manager
• Prior use of Altium
• Understanding of structured product development (requirements-driven engineering, documentation, rigorous verification, etc.) 
• Jira/Confluence experience
• Engineering verification, test development and execution
• High-speed design with industry standard interconnects such as PCI ExpressⓇ, USB, Ethernet, EtherCAT, etc.

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About The Role

Agility Robotics is building the future of work through humanoid robots that operate in human environments. In this position you will be developing the low-level software that powers our state-of-the art humanoid robots, constantly improving the robustness, diagnostics, and safety of our system. You will also be on the front-line of robot development, building up brand-new prototypes and working with highly cross-functional teams to transform piles of parts into functional, testable systems.

About The Work

• Contribute to the C++ software stack that powers our robots, interfacing with OS drivers and hardware to enable high-bandwidth, low-latency control
• Work with cross-disciplinary teams to solve complex problems dealing with the integration of software and hardware
• Debug complex cross-domain problems and integrate learned failure modes into improved diagnostics and error reporting
• Integrate diverse computing systems through a variety of communication media: such as Wifi, networking, serial, industrial fieldbus
• Write performant, well-tested, maintainable, and well-documented C++ software

About You

• MS in robotics, computer science, or related field with 2-3 years industry experience (or BS with 5+ years industry experience)
• Skilled at writing modern C++ (17, 20)
• Knowledge of best practices for writing performant and maintainable software
• Proficient in using and programming for recent Linux systems
• Experience writing and debugging software for hardware-in-the-loop systems
• Experience debugging cross-domain (i.e. electrical, mechanical and software) problems with electro-mechanical systems
• Ability to communicate technical information effectively both orally and in writing with other team members
• Authorization to work in the USA

Bonus Points

• Experience with implementation of automation fieldbuses such as EtherCAT, CAN, Profinet, etc. EtherCAT is highly desirable
• Experience developing real-time or low-latency systems
• Experience writing C++ code for embedded systems
• Experience with electronic circuit debugging tools (e.g. multimeters, oscilloscopes, logic analyzers)
• Knowledge of brushless electric motors and motor control
• Knowledge of networking protocols and network configuration in a Linux environment (i.e. systemd / networkd)
• Experience with Python 3.6+
• Familiarity with standard agile and software development processes (issue tracking tools (Jira), feature branching, version control (Git), continuous integration and deployment)

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA 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.

About the role

As a Global Supply Manager – Ecosystem Devices, you will lead the sourcing and supply strategy for Agility Robotics’ ecosystem devices. These devices represent the physical and digital touchpoints that connect our robots, people, and the world around them, enabling seamless interaction and delivering positive customer outcomes with high reliability.

Many of these solutions are delivered through external development and manufacturing partners, requiring strong expertise in managing contract manufacturing (CM), joint design manufacturing (JDM), and original design manufacturing (ODM) relationships.

In this role, you will work closely with Engineering, Product, and Solutions teams to identify the right supplier partners, shape manufacturing strategies, and build scalable supply ecosystems that support the deployment and long-term success of our robotic platforms.

This role requires a strategic thinker who can build strong supplier partnerships, navigate complex commercial negotiations, and guide suppliers through new product introduction (NPI) and production ramp.

What you’ll do

• Develop and implement sourcing strategies for ecosystem devices aligned with Agility Robotics’ product and business objectives.
• Identify, evaluate, and onboard contract manufacturing (CM), joint design manufacturing (JDM), and original design manufacturing (ODM) partners capable of supporting device development and scalable production.
• Lead supplier selection and commercial negotiations including pricing, non-recurring engineering (NRE), tooling ownership, manufacturing agreements, and long-term supply terms.
• Collaborate closely with Engineering, Product, and Solutions teams from early concept stages to ensure suppliers receive clear technical requirements, validation criteria, and customer use-case expectations.
• Drive supplier engagement across the full product lifecycle including concept development, new product introduction (NPI), production ramp, and sustained manufacturing.
• Establish and maintain the supplier plan of record (SPOR) for ecosystem devices and ensure sourcing readiness aligned with program milestones.
• Develop cost models and drive continuous cost improvements through should-cost analysis, supplier benchmarking, and value engineering initiatives.
• Partner with contract manufacturers to ensure manufacturing scalability, supply assurance, and production capacity planning.
• Oversee supplier performance management across cost, quality, delivery, and reliability metrics.
• Identify and mitigate supply chain risks by developing multi-sourcing strategies and business continuity plans.
• Facilitate cross-functional collaboration with Engineering, Product Management, Solutions teams, and Quality teams to ensure alignment on sourcing strategies and supplier selection.

Preferred Qualifications

• Bachelor’s degree in Engineering or a related technical field. Advanced degree preferred.
• 3-5+ years of progressive experience in procurement or supply chain roles, with experience managing contract manufacturing environments.
• Demonstrated experience working with contract manufacturing (CM), joint design manufacturing (JDM), or original design manufacturing (ODM) partners for hardware products.
• Strong understanding of turnkey manufacturing models and outsourced product development.
• Experience negotiating commercial agreements including non-recurring engineering (NRE), tooling, manufacturing capacity, and supply agreements.
• Experience supporting new product introduction (NPI) and supplier ramp in fast-paced hardware environments.
• Strong analytical skills including experience developing cost models, supplier benchmarking, and financial analysis.
• Experience working with cross-functional teams including Engineering, Product, and customer-facing Solutions teams.
• Familiarity with enterprise resource planning (ERP) and material requirements planning (MRP) systems and supplier performance management frameworks.
• Ability to travel domestically and internationally as required (up to 35%).

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About The Role

Join the Autonomy team as a Senior Software Engineer where you will architect and contribute to the core robot software platform by driving the development of critical software modules and their interfaces. You will establish a data-driven approach to system performance by building scalable telemetry and metrics infrastructure, alongside rigorous regression testing plans, to track KPIs and monitor long-term reliability. This high-impact role is essential for enabling the next phase of commercial scaling by ensuring the robot can reliably perceive, plan, and execute complex tasks within dynamic environments.

About The Work

• Drive the implementation of selected middleware solutions to optimize communication and scalability across the core software platform.
• Define, document, review, and enforce process boundaries and API contracts, driving organization-wide alignment.
• Collaborate closely across the robot software and architecture teams to solve complex, cross-functional problems and ensure robust performance on physical robot hardware.
• Own and maintain the large-scale regression pipelines to automatically measure critical autonomous behavior metrics and track key performance indicators (KPIs) across motion planning, navigation, and localization.

About You

• Demonstrated expertise in designing and implementing multi-process robot architectures and distributed systems. Proficiency with different robotics middleware solutions (e.g., ROS, DDS, custom messaging) and experience with inter-process/inter-machine communication.
• Strong experience developing and maintaining telemetry/metrics pipelines (e.g., using OpenTelemetry/Otel). Proficiency in querying and analyzing large datasets using SQL-like big data tools (e.g., Amazon Athena, Spark SQL) and time-series databases (e.g., Prometheus, InfluxDB).
• Demonstrated expertise in simulation at scale, including techniques like domain randomization and procedural content generation. Hands-on experience transitioning models/behaviors from simulation (e.g., Gazebo, MuJoCo, Isaac Sim) to real-world physical robot hardware.
• Proficiency in programming languages commonly used in robotics/testing (Python, C++).
• Experience with CI/CD pipelines (e.g., Git, Jenkins, GitHub Actions) and containerization technologies (e.g., Docker, Kubernetes) for scaling simulation and deployment environments.
• Deep understanding of robotics fundamentals, including kinematics, dynamics, controls, and perception.
• MS or Ph.D. in Robotics, Computer Science, or a related field, or equivalent industry experience.

Bonus Qualifications

• Familiarity with cloud storage solutions and data lakes (e.g., AWS S3, Google Cloud Storage).
• Hands-on experience creating impactful data visualizations and dashboards using tools like Datadog, Grafana, or Apache Superset.
• Experience training or deploying Reinforcement Learning (RL) agents for complex autonomous behaviors.
• Publications in top-tier robotics or related conferences (RSS, ICRA, IROS).

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.

About The Role

Join the Autonomy team as a Senior Software Engineer focused on Navigation. You will be a core contributor, driving the design and deployment of real-time motion planning and navigation systems that empower our humanoid robots to operate robustly and autonomously in complex logistics and manufacturing environments. This is a high-impact role essential to scaling our commercial deployments, improving the efficiency of autonomous loco-manipulation behaviors, and achieving software readiness for the next generation robot platforms.

About The Work

• Design, implement, and deploy 3D motion planning algorithms for locomotion, with an emphasis on whole-body collision-aware motion execution in real-time.
• Own the core components of our navigation stack, specifically the local planning maps, terrain models, and grid map representations used for path and motion planning with collision avoidance.
• Advance our locomotion capabilities by developing and maintaining a 3D footstep path planner aiming to significantly reduce navigation cycle times.
• Define and implement the necessary navigation features and route planning algorithms to enable coordinated movement and resource sharing within multi-agent robot fleets.
• Drive the maturity of our release processes by designing, implementing, and maintaining robust regression testing pipelines for motion planning and navigation modules.
• Collaborate with the AI and Controls teams to integrate locomotion behaviors with RL policies and support whole-body control.
• Integrate and debug planning algorithms on real-world hardware, owning the transition from simulation environments (e.g., Gazebo, MuJoCo, Isaac Sim) to physical robots.

About You

• 5+ years of professional experience in robotics, specifically developing and deploying real-time navigation and motion planning systems for autonomous mobile platforms (humanoids, quadrupeds, autonomous vehicles).
• Expertise in 3D/volumetric map representations (e.g., octomaps, voxel grids) for local path planning and collision avoidance.
• Deep technical understanding of locomotion-specific path and motion planning algorithms, including sampling-based planners (RRT/PRM), optimization-based methods (MPC/LQR), and hybrid A*.
• Expert proficiency in modern C++ (C++17/20), with a proven track record of writing high-performance, multithreaded code for robotics applications.
• Experience with common robotics frameworks (e.g., ROS/ROS2, DDS) and hands-on experience with modern optimization libraries relevant to motion planning (e.g., Ceres, IPOPT, OSQP).
• Proven ability to systematically test and debug systems on physical robots, and integrate perceived environment data (LiDAR, camera, depth sensing) into the planner.

Bonus Qualifications

• Experience training and deploying Reinforcement Learning (RL) agents for complex locomotion behaviors.
• Hands-on experience implementing Model Predictive Control (MPC) or similar optimization-based control techniques for dynamic robot locomotion.
• Familiarity with perception pipelines and the integration of perceived environment data into the planning stack.
• Experience with GPU-accelerated spatial data structures (e.g., NVBlox, specialized CUDA implementations) for high-throughput, low-latency map updates and querying.
• Strong foundational knowledge of robot kinematics, dynamics, controls, and state estimation (e.g., EKF, particle filters).
• Experience with multi-robot coordination/route planning and abiding by boundary constraints in a workcell map.
• Experience with multi-robot mapping and localization, including map persistence and sharing capabilities.
• Publications in top-tier robotics conferences (ICRA, RSS, IROS, CoRL).

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.

As Product Counsel, you will own privacy, data governance, and responsible AI legal strategy across the full lifecycle of our humanoid robotics systems from training data ingestion to real-world deployment feedback loops. You will work closely with Engineering, Infrastructure, Safety, Data Security, IT, Product, and GTM teams to embed privacy-by-design principles directly into our hardware, firmware, edge computing systems, and cloud architecture. This is a highly cross-functional, high-impact role for someone excited about solving novel privacy challenges raised by the real-world deployment of bleeding-edge autonomous robotic systems deployed in human spaces

Responsibilities:

Privacy-by-Design & Product Counseling

• Advise on privacy and data security implications of robot sensor systems (vision, audio, depth sensing, spatial mapping, biometrics, telemetry).
• Partner with engineering teams to implement privacy-by-design and data minimization strategies both on--prem and in the cloud.
• Conduct and oversee DPIAs, OSS process, and AI risk assessments for new product features and deployments.
• Guide de-identification, anonymization, and synthetic data strategies.

AI & Data Governance

• Advise on training data sourcing, licensing, and usage restrictions.
• Develop governance frameworks for model retraining, human-in-the-loop systems, and continuous learning architectures.
• Counsel on automated decision-making and profiling considerations.
• Create internal responsible AI policies and review processes.

Global Privacy and Cybersecurity Compliance

• Lead compliance strategy under global privacy regimes (e.g., GDPR, CCPA/CPRA, and other emerging regulations such as the EU AI, Data, and Data Governance Acts and the NIS2 Directive).
• Support international product launches with localized data handling frameworks.
• Advise on cross-border data transfers and data localization risks.

Deployment & Workplace Privacy

• Counsel on robotics deployment in workplaces and public-facing environments.
• Assess risks related to employee monitoring, bystander data capture, and surveillance laws.
  Draft and negotiate privacy and data protection provisions in enterprise agreements and pilot contracts.

Security & Incident Response

• Partner with Security to develop defensible security and breach response frameworks.
• Support regulatory notifications and communications in the event of data incidents.
• Advise on vulnerability disclosure programs and coordinated response processes.

Commercial & Vendor Support

• Negotiate DPAs, data processing addenda, and vendor agreements.
• Assess third-party tools, cloud infrastructure providers, and data processors.
• Develop scalable privacy terms for customers and partners.

Qualifications:

• Juris Doctor (JD) or equivalent law degree from an accredited institution.
• Active and in good standing bar membership in at least one U.S. state or equivalent foreign jurisdiction, with the ability to obtain authorization to practice where required.
• 6–10+ years of post-qualification legal experience as a practicing attorney, including law firm, in-house, and/or government experience.
• Demonstrated experience advising on technology, internet, media, or AI-powered products and services delivered at a customer site.
• Strong product counseling experience, including support for advanced product teams and 0→1 product launches.
• Experience with AI transactions, including licensing, joint development, and strategic partnerships.
• Familiarity with advertising, privacy, data protection, consumer protection, competition, and intellectual property laws and regulations.
• Proven business judgment and ability to provide solution-oriented legal advice that facilitates business objectives.
• Ability to manage ambiguity, prioritize competing demands, and create structure in fast-moving environments.
• Strong communication and stakeholder management skills, including influencing executive-level partners.
• Commitment to team success, with a collaborative mindset and willingness to support colleagues as needed.
• High tolerance for pressure, strong crisis-management capabilities, and comfort working under tight deadlines.

This a hybrid position based out of one of our Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About the role

As an Indirect Procurement Manager, you will lead the sourcing and supplier management strategy for Agility Robotics’ indirect spend categories. These categories support the broader business operations and may include areas such as professional services, facilities, information technology, logistics services, equipment, and other operational services.

In this role, you will partner closely with cross-functional stakeholders across the company to understand business needs, develop sourcing strategies, and establish supplier relationships that deliver cost efficiency, reliability, and scalability.

You will be responsible for managing the full procurement lifecycle across indirect categories, from supplier selection and contract negotiation to supplier performance management and ongoing cost optimization. This role requires strong commercial acumen, structured sourcing practices, and the ability to collaborate effectively across multiple functions to support the company’s operational growth.

What you’ll do

• Develop and implement sourcing strategies across indirect procurement categories aligned with Agility Robotics’ operational and business objectives.
• Partner with internal stakeholders to understand procurement needs and translate them into effective sourcing and supplier engagement strategies.
• Lead supplier selection and commercial negotiations including pricing, service agreements, and contract terms.
• Manage the end-to-end procurement lifecycle including request for proposal (RFP), supplier evaluation, contracting, and supplier onboarding.
• Drive cost optimization initiatives across indirect spend categories through supplier benchmarking, competitive sourcing, and contract management.
• Establish and maintain preferred supplier relationships while ensuring service reliability and cost competitiveness.
• Monitor supplier performance across cost, quality, delivery, and service levels, and drive continuous improvement initiatives where needed.
• Ensure procurement processes and purchasing activities align with internal policies and financial controls.
• Collaborate with Finance and cross-functional teams to support budgeting, cost tracking, and spend visibility across indirect categories.
• Identify opportunities to improve procurement efficiency through standardized sourcing processes, supplier consolidation, and improved contract management.
• Support procurement operations initiatives including vendor master data management and purchasing process improvements.

Preferred Qualifications

• Bachelor’s degree in Business, Supply Chain Management, Engineering, or a related field.
• 7+ years of progressive experience in procurement, sourcing, or supply chain roles with exposure to indirect procurement categories.
• Demonstrated experience leading sourcing initiatives and negotiating supplier agreements across multiple service-based categories.
• Strong commercial and contract negotiation skills.
• Experience managing request for proposal (RFP) processes and supplier evaluation frameworks.
• Strong analytical and financial acumen with the ability to evaluate supplier proposals and cost structures.
• Experience collaborating with cross-functional stakeholders across functions such as Finance, Facilities, Information Technology, and Operations.
• Familiarity with enterprise resource planning (ERP) and procurement systems used for purchasing and supplier management.
• Strong communication and stakeholder management skills.
• Ability to manage multiple procurement initiatives simultaneously in a fast-paced environment.

This a hybrid position based out of one of our Salem 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.

About Agility Robotics

Agility Robotics is at the forefront of developing humanoid robots designed to operate in real-world environments. Our mission is to build robots that seamlessly integrate into human workflows, solving complex challenges in logistics, manufacturing, and beyond. As we scale our deployments and accelerate product development, we are looking for a Staff System Validation Engineer to execute rigorous system-level verification and validation for our humanoid robot platform.

Location

This position will be based in the San Francisco Bay Area with short term travel requirements to Salem,OR.

About the Role

As a Staff System Validation Engineer at Agility Robotics, you will be a hands-on technical contributor responsible for designing and executing comprehensive system-level verification and validation of our fully integrated humanoid robot. Once the robot is assembled as a complete system, you will develop, run, troubleshoot, and report on test plans that validate the robot meets all requirements for product acceptance. You will work closely with Systems Engineering, Software, Controls, and Product Management to ensure what we build works as intended in real-world customer environments.

This role is ideal for a technically strong engineer with solid testing experience in complex electromechanical systems who is ready to take on meaningful ownership of the validation strategy in a fast-moving robotics environment.

Key Responsibilities

• Develop and execute system-level V&V test plans for fully integrated humanoid robots, working with Systems Engineering to translate requirements into testable validation criteria with clear pass/fail metrics and traceability
• Design and execute end-to-end system validation tests across the fully integrated robot including full-body manipulation and locomotion, human-robot interaction, safety systems, environmental and operational scenarios.
• Extend validation coverage through simulation environments including regression testing at scale, rare failure modes, edge cases, and sim-to-real fidelity validation.
• Apply AI-assisted analysis techniques and modern data tooling to process large validation datasets, identify failure patterns and behavioral anomalies, and continuously sharpen test strategy based on empirical signal from the field and lab
• Support functional safety verification and validation activities ensuring compliance with ISO standards, including safety-critical function testing, fault injection, and Safety Integrity Level (SIL) or Performance Level (PL) verification
• Develop automated test scripts and contribute to test infrastructure including fixtures, instrumentation, and data acquisition systems to enable repeatable, scalable validation
• Prepare and present clear validation reports, test results, and risk assessments to engineering leads and stakeholders, contributing data-backed input to go/no-go decisions

Required Qualifications

Experience

• 10+ years of system-level verification and validation experience in robotics, autonomous systems, automotive, aerospace, or similar complex electromechanical systems
• Hands-on experience using robot simulation environments to develop and execute test cases, generate synthetic test scenarios, and support regression testing at scale.
• Experience testing complex robotic or electromechanical systems including manipulation, locomotion, or similar multi-DOF systems
• Familiarity with safety-critical system validation and functional safety standards such as ISO 13849, IEC 61508, or ISO 26262
• Experience in fast-paced product development environments balancing rigor with speed

Technical Skills

• V&V Expertise: Solid understanding of verification vs. validation, V-model processes, test design techniques, and requirements traceability. Familiarity with Hardware-in-the-Loop (HIL) or Software-in-the-Loop (SIL) testing
• Robotics Fundamentals: Working knowledge of kinematics, dynamics, control systems, sensing, and actuation sufficient to effectively test and debug robotic systems
• Test Automation: Proficiency in Python or similar languages for developing and maintaining automated test scripts and frameworks
• Test Infrastructure: Hands-on experience with test fixtures, instrumentation, and data acquisition systems
• Troubleshooting: Strong debugging skills across hardware-software integration issues in complex systems

Preferred Qualifications

• BS or MS in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related field
• Experience with one or more robotics simulation platforms such as NVIDIA Isaac Sim, MuJoCo, Gazebo, or Webots.
• Experience validating machine learning-based software components or models, including working with software integration teams to define acceptance criteria, manage model versioning, and assess behavioral drift or regression across releases
• Exposure to functional safety certification processes (TÜV or similar)
• Experience contributing to or mentoring junior engineers on test methodology

About the Team:

Our mechanical engineering team is agile and has grown rapidly, and we are looking for a talented engineer to join us in the San Francisco Bay Area. We are responsible for delivering advanced and reliable designs that meet a complex set of requirements to our customers, including software developers, applications engineers, manufacturing engineers and ultimately to fleet deployment managers. We work as a group to develop new technologies, engineer new products, and refine/maintain existing designs. The team is composed of engineers from many backgrounds and levels of experience. 

About The Role:

We are designing the next generation of Digit Humanoid Robot for commercial scale. Highly reliable and robust designs are critical to successful deployment of our robots in large quantities. Digit works in demanding environments, performing highly repetitive and heavily loaded tasks. The Senior Mechanical Engineer will work closely with other mechanical engineers and cross functional teams to develop the next generation Digit.  This role will own multiple mechanical and electro-mechanical parts/assemblies and will be responsible for the design, prototyping, and DFx for those parts.

About the work:

• Own the 3D and 2D design of electromechanical components and subassemblies, including prototyping of parts and subsystems.
• Collaborate with multidisciplinary teams (electrical, industrial design, software, test, and manufacturing) to define requirements and develop design concepts.
• Perform engineering analyses to validate design decisions, including supporting structural and thermal analyses.
• Present and participate in cross-functional design reviews of parts and subsystems.
• Support root cause investigations and implement improvements to enhance Digit robustness.
• Contribute to the development and documentation of mechanical engineering processes.
• Track progress and document design work using Jira and Confluence.
• Deliver quality results within established schedules, budgets, and priorities.
• Create and maintain comprehensive design documentation.
• Mentor and support the development of junior engineers.
• Travel requirement (25% travel to Salem)

About you:

• Demonstrated experience in mechanism design, electronics packaging, and knowledge of various types of motors, encoders, sensors, power transmission, and drive-train-related components such as gears, splines, lead screws, linear guides, harmonic drive actuators, etc. 
• 5+ years of mechanical design experience.
• B.S. or M.S. in Mechanical Engineering (or equivalent, minimum requirement)
• Proven experience designing and building mechanisms and assemblies, preferably in robotics
• Demonstrated experience in mechanical analysis including modeling tolerance stacks, static and dynamic analysis, FEA and thermal analysis
• Ability to be on-site at Agility’s design facility as needed (minimum 4 days per month if Bay Area based and as needed to support design activities, reviews, prototype testing, etc.)

Preferred Skills and Experience:

• Robotics experience design experience
• Advanced degree in engineering or science or robotics
• Jira/Confluence experience
• PLM and PDM experience
• Creo and Windchill experience

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

Agility Robotics is at the forefront of humanoid robotics, developing advanced robots designed to function seamlessly in human environments. Our mission is to build robots that enhance productivity and support industries through safe and effective automation. We are seeking a Manager of Robotics Test Infrastructure and Release to lead a team responsible for building and scaling the test infrastructure, automation frameworks, and internal tooling that power our software validation capability, while owning the release management function and the feedback loop that ensures every release makes us better than the last.

About the Role

As Manager of Robotics Test Infrastructure and Release, you will own the full lifecycle of software quality at Agility - from the tools and infrastructure that make testing possible, to the release process that gets software onto our robot fleet, to the feedback loop that closes the gap between what ships and what works in the real world.

You will lead a team of engineers who write test automation frameworks, develop internal tooling, manage CI/CD pipelines, and own the release management function end to end. You will define what "ready to release" means and hold that bar.

This role is ideal for a technically strong, execution-oriented leader who thrives at the intersection of software engineering, systems thinking, and operational rigor.

About the Work

Test Infrastructure, Tooling and Automation

• Own the architecture, development, and evolution of Agility's test infrastructure, including simulation-based, hardware-in-the-loop, and physical robot test environments
• Establish and scale structured test development practices and automated test frameworks across the full robotics software stack including controls, perception, state estimation, planning, and the cloud platform for  robot fleet management , ensuring test cases are comprehensive, maintainable, and traceable to product requirements
• Build and maintain internal tooling that serves the broader SEIT org, reducing manual effort and increasing test coverage and execution velocity
• Own test execution platforms, artifact management, regression tracking, and reporting infrastructure
• Partner with Systems Engineering to ensure requirements are translated into automatable acceptance criteria and that traceability from requirement to test to result is maintained

Release Management

• Lead the release management function end to end: define quality gates, own the release readiness process, and make the go/no-go call on software releases with clear, metrics-backed rationale
• Define the test strategy for each software release, specifying what gets tested, at what depth, and on what platforms before software ships to development or production robots
• Develop and enforce processes for bug tracking, prioritization, and resolution across the release cycle

Post-Release Feedback Loop

• Own what happens after a release goes out: track field issues, identify test gaps that allowed escapes, and drive resolution  before the next release
• Partner with integration engineers and software teams to reproduce, root cause, and resolve high-priority issues using data logs, telemetry, and test artifacts
• Use field data to continuously improve the test strategy and raise the quality bar over time

People and Cross-functional Leadership

• Lead, grow, and mentor a team of engineers across test infrastructure, automation, and release management
• Collaborate closely with Robot Software, Controls, AI Software, Systems and Testing teams to embed quality into every stage of the development cycle
• Deliver clear, actionable reporting to leadership on software health, release readiness, risks, and infrastructure needs

Experience

• 8+ years in product testing, test infrastructure, or test automation with at least 2 years in a management role
• Proven experience testing complex, multidisciplinary systems where hardware and software are deeply coupled: robotics, autonomous vehicles, embedded systems, or similar domains
• Track record of building and scaling SDET or test engineering teams in high-growth, fast-paced environments.
• Experience owning release processes end-to-end, including defining quality gates, managing regression pipelines, and making go/no-go calls 

Technical Expertise

• Hands-on experience architecting and building test infrastructure for complex robotic or electromechanical systems, including simulation-based, hardware-in-the-loop, and physical platform testing
• Demonstrated ability to develop or oversee automated test frameworks in Python or C++, with a focus on comprehensive, maintainable, and high-signal test coverage across controls, perception, behavior, and cloud software stacks
• Strong system-level debugging instincts: able to look at robot behavior, data logs,  telemetry and reason across hardware, firmware, and software to identify root cause
• Working knowledge of CI/CD tooling and software development workflows including Git, Jenkins, and Kubernetes; experience integrating test execution into the delivery pipeline
• Familiarity with robotics software architecture including real-time control loops, state estimation, and perception pipelines; enough depth to have a meaningful technical conversation with the engineers writing the code

Location

This position will be based in the San Francisco Bay Area with travel expected to Salem, OR

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About the Team:

Our mechanical engineering team is agile and has grown rapidly, and we are looking for a talented mechanical designer to join us in the San Francisco Bay Area, or on-site at our Salem facility. We are responsible for delivering advanced and reliable designs that meet a complex set of requirements to our customers, including software developers, applications engineers, manufacturing engineers and ultimately to fleet deployment managers. We work as a group to develop new technologies, engineer new products, and refine/maintain existing designs. The team is composed of engineers from many backgrounds and levels of experience. 

About The Role:

We are currently designing the next generation of Digit for commercial scale. Highly reliable and robust designs are critical to successful deployment of our robots in large quantities. Digit works in demanding environments, performing highly repetitive and heavily loaded tasks. The mechanical designer will work closely with mechanical engineers and play a key role in ensuring that we have well documented robot designs that are production-ready.

This role is based in the San Francisco Bay Area. 

About the work:

• Creo CAD model and drafting creation and management to Agility standards
• Sourcing OTS component models and integrating them in the assembly
• Updating CAD based on engineering analysis inputs
• Detail drafting of parts and assemblies
• CAD Library management
• CAD template management
• CAD data management in Windchill
• BOM creation and management
• Submission and herding of Promotion Requests
• Identification of OTS components that meet engineering specifications
• Product design in support of engineering requirements
• Support cross-functional design reviews through production of quality CAD screenshots, renderings, and creation of presentation slides

About you:

• Expert in Creo, including top down modeling, drafting, and library management
• Expert in Windchill, promotion requests, file management, BOM management
• Fluent in the application of GD&T to mechanical parts and assemblies
• Expert knowledge in several of the following manufacturing processes: sheet metal, machining, casting, injection molding
• Bonus: Altuim CoDesigner experience
• 5+ years of mechanical designer experience

Preferred Skills and Experience:

• Experience with tolerance analysis
• Windchill PDM Administration experience
• Jira/Confluence experience
• A.S. Electro/Mechanical Design Drafting

This a hybrid position based out of one of our Fremont office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About The Role

We are seeking a Staff Firmware Engineer to plan robot firmware architecture, design subsystems, and develop robust and reliable firmware for our full line of robots.  In this role, you will collaborate with a multi-discipline team of engineers to understand the unique requirements for our products and play a key role in ensuring that we have robot designs that are robust and production-ready.  You will also serve as the bridge between hardware and higher level robot control algorithms by documenting interfaces and providing support to other engineers.

About The Work:

• Contribute to the C++ firmware architecture that drives our robot’s low-level sensor network, controls, and power management systems
• Develop the firmware communication layer utilizing EtherCAT and CAN
• Write firmware for the hardware abstraction layer, peripheral drivers, and applications
• Perform real-time hardware testing and debugging using benchtop test equipment such as logic analyzers and oscilloscopes.
• Work with cross-disciplinary teams to solve complex problems dealing with the integration of software and hardware
• Write performant, well-tested, maintainable, and well-documented C++ code

About You:

• BS in computer science, electrical engineering, or related field with 10+ years industry experience
• Experience writing modern C++ (17, 20)
• Experience using FreeRTOS or similar
• Experience with best practices for writing performant and maintainable software
• Proficiency with a Linux-based development environment
• Ability to read schematics, PCB layouts, and component datasheets
• Ability to verbally communicate technical information effectively

Preferred to have:

• Experience with implementation of automation fieldbuses such as EtherCAT, CAN, etc. EtherCAT is highly desirable
• Experience writing embedded C++ for ARM systems
• Experience developing real-time or low-latency systems
• Experience designing and implementing hardware-in-the-loop (HIL) testing frameworks for embedded systems
• Experience with unit testing such as with GTest and coverage analysis
• Proficiency in Python (3.6+)
• Familiarity with standard agile and software development processes (issue tracking tools (Jira), feature branching, version control (Git), continuous integration and deployment)
• Familiarity with using AI in coding a plus

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About Agility Robotics

Agility Robotics is at the forefront of developing humanoid robots designed to operate in real-world environments. Our mission is to build robots that seamlessly integrate into human workflows, solving complex challenges in logistics, manufacturing, and beyond. As we scale, we are looking for a Senior Systems Engineer to strengthen our Systems Engineering team—ensuring structured, scalable development processes while maintaining the agility and execution speed required in a fast-paced startup environment.

Location

This position is based in the San Francisco Bay Area. Travel to our Salem headquarters, occasionally 1 week per month, will be required.

About the Role

As a Senior Systems Engineer for Software at Agility Robotics, you'll drive system-level architecture and integration for our humanoid robot platform. Working within a high-impact Systems Engineering team, you'll take ownership of requirements, interfaces, and cross-functional integration—bringing clarity and structure to complex systems while maintaining speed of execution.

This role is ideal for a hands-on technical contributor who thrives in ambiguity, demonstrates systems thinking, and has a passion for building real systems fast. You'll apply structured engineering methods while maintaining the agility and pragmatism needed to ship products.

What You'll Do

1. System Architecture & Integration: Define and document system and subsystem architectures spanning mechanical, electrical, firmware, and software domains. Drive trade studies with focus on simplicity, performance, cost, and execution speed.

2. Requirements Engineering: Own software subsystem-level requirements through their full lifecycle—writing, decomposing, validating, and tracking execution. Maintain rigorous traceability while enabling development velocity.

3. Compliance & Functional Safety: Ensure system designs meet industry standards and regulatory requirements. Facilitate functional safety analysis including hazard analysis, risk assessment, and safety case development. Drive compliance activities for certification, software development, and software deployment.

4. Interface Management: Develop and maintain Interface Control Documents (ICDs). Anticipate and resolve integration issues early through proactive systems thinking.

5. Operational Excellence: Identify and eliminate operational inefficiencies through systematic analysis of field performance data, customer workflows, and deployment scenarios. Implement design improvements that directly enhance system reliability, maintainability, and performance.

6. Technical Execution: Participate in design reviews, integration efforts, and root cause analysis. Identify risks, lead trade studies, and influence decisions from a systems perspective.

7. Field-Focused Problem Solving: Proactively analyze customer deployment scenarios, field feedback, and operational data to identify and solve system-level issues before they impact production or customers.

Required Qualifications

Experience

• 5+ years of Systems Engineering experience in robotics, aerospace, automotive, or similar multidisciplinary hardware/software systems

• Proven track record leading system-level integration and architecture efforts

• Experience in fast-paced environments requiring self-direction and bias for action

• Experience integrating new software capabilities into autonomous systems

Technical Skills

• Strong proficiency with V-model systems engineering approaches, adapted for rapid development

• Expert-level requirements authoring, traceability management, and interface definition

• Proven ability to logically decompose functional requirements for software 

• Compliance and standards expertise: Knowledge of relevant industry standards (ISO 13849, IEC 61508, ANSI/RIA R15.06, or similar) and regulatory frameworks for robotics systems in manufacturing/warehousing environments

• Functional safety experience: Demonstrated ability to conduct hazard analysis, risk assessment, and safety case development. Experience with safety lifecycle processes and safety-critical system design

• Experience collaborating with Test Engineering on system-level validation strategies

• Proficiency with systems engineering tools (requirements management, modeling, etc.)

• Operational efficiency analysis: Proven track record of identifying inefficiencies in complex systems and implementing measurable improvements to performance, reliability, and maintainability

Systems Thinking Requirements

• Demonstrated ability to think systematically: Must provide specific examples of how you've identified cross-functional dependencies, anticipated downstream impacts, or solved problems by understanding system-level interactions

• Proactive problem-solving track record: Evidence of looking ahead to solve problems before they occur—examples might include analyzing field data to prevent failures, designing for customer deployment scenarios, or identifying integration risks early in development

• Customer-focused systems perspective: Experience translating field feedback, customer requirements, or operational constraints into actionable system design changes

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About The Role

This role will influence the design of the next generation of Digit, aimed at meeting customer needs at a commercial scale. The Senior Engineer will help drive the robot design and will develop robust and reliable electronics for this robot generation. Collaboration with a multi-discipline team of engineers is essential to understand product requirements and ensure designs are robust and production-ready.

Location

This position offers flexibility, with the option to be based within commuting distance of our Salem, OR headquarters or remotely in the San Francisco Bay Area. Remote candidates should anticipate regular travel to Salem, typically one week per month.

About The Work:

The Senior Electrical Engineer's responsibilities include:

• Implementing major subsystem designs.
• Participating in cross-functional design reviews.
• Executing rapid prototyping and bring-up of electrical systems at the board level.
• Ensuring that design for test, manufacturing, and assembly test capabilities are implemented.
• Participating in debugging efforts and root cause analysis for hardware and software defects.
• Managing through ambiguity.

About You:

Candidates should possess the following qualifications:

• A Bachelor's or Master's degree in Electrical Engineering (or equivalent).
• 7 or more years of electrical design experience
• Deep experience with Altium for schematic entry and PCB layout
• Experience with motors and motor control, particularly BLDC motors
• Experience in embedded controls, high-speed differential signaling, microcontrollers, memory buses, digital design, and power electronics

Preferred to have:

Candidates with the following will be highly regarded:

• An advanced degree with robotics experience
• A strong understanding of structured product development (including requirements-driven engineering, comprehensive documentation, and rigorous verification)
• Experience with engineering verification test development and execution

This a hybrid position based out of one of our Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About the Work:

You’ll thrive in this role if:

• You are self-driven and take ownership without needing constant direction.
• You are confident in your judgment and comfortable making decisions in real time.
• You take initiative and solve problems before they become issues.
• You enjoy being on your feet and moving throughout the office.
• You’re energized by variety and wearing many hats.
• You can professionally and confidently support high-stakes visitors and executives.
• You pivot quickly when priorities change and remain calm under pressure.
• You enjoy building systems and improving processes in an evolving environment.
• You are resourceful and naturally step in wherever needed.

As site Office Manager, you’ll be tasked with several office duties which have a direct impact on our employee and guest experience. This includes:

• Greeting and assisting employees, visitors, and vendors
• Accurately processing/distributing incoming and outgoing mail and packages
• Providing support with conference room scheduling, setup and coordination
• Planning, ordering and stocking office supplies, snacks, food, and drinks for office/break areas.
• Coordinate and manage on-site employee lunches and company events, including ordering, setting up, serving, and cleanup
• Directly assisting new employees onboarding, including answering questions, desk setup, and assisting with the overall first day experience
• Providing support for management, staff and office administrators as needed
• Maintain and update company systems (seating chart, NDAs, desk reservations, etc.)
• Ensuring documents are appropriately managed (e.g.: stored, scanned, shredded, etc.)
• Manage and maintain badge access system, including creating badges
• Manage and maintain security camera system and vendor relationship
• Manage and maintain building entrance systems
• Manage various vendor relationships such as janitorial contracts, to ensure they  are being fulfilled, follow up and resolve any issues
• Ensuring office and kitchen equipment are maintained or repaired if needed
• Promptly report facility or safety concerns to management
  

About You:

• High school diploma or certificate required, associate’s degree strongly preferred
• Highly customer-oriented, possessing a positive and helpful attitude to all employees
• Demonstrates consistent dependability, punctuality and follow-throughSelf-starter, and ability to work independently and collaborate well with others
• Strong level of computer literacy and experience using Google Suite or MS 365
• Exhibit strong positive written and verbal communication skills
• Ability to be flexible and adaptable within a dynamic environment
• Exhibit a high level of personal integrity, judgment, and discretion
• Good critical thinking and problem-solving skills
• Able to lift to 30lbs safely
• Have valid driver’s license and transportation 

Preferred:

• Previous experience as an Office Manager or lead role in an office environment with 100 or more staff
• Experience with budgeting and asset tracking
• Purchasing and managing outside services and contractors
• Event planning experience

Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job as this is subject to change at any time with or without notice. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give such instructions or assignments. 

Work Environment & Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be provided to enable individuals with disabilities to perform the functions. While performing the duties of this job, the employee routinely is required to sit; talk and hear; use hands to touch, feel, handle, push/pull and move objects; see details of objects that are less than a few feet away; see differences between colors, shades, and brightness. The employee is occasionally required to stand, walk and move around the office; stoop, kneel, crouch, twist, crawl, reach, and stretch.

This is an onsite position at our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About Agility Robotics

Agility Robotics is pioneering the development of humanoid robots built for real-world work. Our mission is to create robots that integrate seamlessly into human environments, addressing complex challenges across logistics, manufacturing, and beyond. As we grow, we are seeking a Principal Robotics Hardware Architect to lead and elevate our architecture team—driving system-level design decisions, ensuring scalability, and maintaining the speed and agility essential to success in a fast-paced startup environment.

About the Role

Agility Robotics is seeking a Principal Robotic Hardware Architect to drive the technical vision and hardware architecture of our humanoid robotics platforms, reporting directly to the Chief Hardware Officer. In this highly strategic and technical leadership role, you will serve as the cross-functional hardware architect, partnering closely with leaders across systems, mechanical, electrical, software, perception, and controls to define and evolve the architecture of our robotic systems.

You will be responsible for ensuring the integration of complex subsystems—ranging from sensing and compute to mechanical actuation and safety—into a cohesive, performant, and reliable, and scalable  humanoid robot.  This role is ideal for a senior technical leader with a proven track record in robotic system design and architecture, including deep experience with humanoid or legged robotics, and strong systems-level thinking.

About the Work

• Own the end-to-end robotics system hardware architecture, ensuring scalable, and reliable integration of perception, compute, actuation, kinematics, control, and safety systems.
  
  
• Provide technical direction and system level architectural leadership to other architects as well as across hardware teams, guiding the design of high-performance robotic subsystems.
  
  
• Lead trade studies and architecture reviews across disciplines, balancing performance, functional safety, complexity, manufacturability, cost, and reliability.
  
  
• Partner with cross functional teams including software controls and simulation teams to ensure architectural decisions are grounded in system-level modeling, simulation, and performance analysis.
  
  
• Collaborate closely with systems engineering, test, and integration teams to ensure architecture translates into testable, traceable requirements.
  
  
• Influence long-term roadmap and product direction by translating user needs, field performance, and R&D findings into architectural evolution.
  
  
• Represent hardware in cross-functional discussions on control architecture, safety strategy, system diagnostics, and autonomy stack integration.
  
  
• Serve as a technical mentor and thought leader within the organization, raising the bar for engineering rigor and systems thinking.
  
  

Minimum Qualifications:

• 15+ years of experience in robotics hardware development, including at least 5 years leading system architecture or as a chief/principal engineer.
  
  
• Deep understanding of robotic system design, particularly humanoid or legged systems, actuator and transmission design,  including tradeoffs in mass, structures, fatigue, thermals, actuation, sensing, power, compute, and safety.
  
  
• Proven experience in architecting and delivering complex electromechanical robotic systems into field or commercial deployment.
  
  
• Strong foundation in robot kinematics, dynamics, controls, and system modeling.
  
  
• Experience with simulation tools such as MuJoCo, Gazebo, or equivalent, and integrating simulation into system design and validation workflows.
  
  
• Familiarity with functional safety concepts, FMEA/FMECA, and hazard analysis in robotic systems.
  
  
• Strong communication and collaboration skills, with experience influencing decisions across multidisciplinary teams.
  
  

Preferred Qualifications:

• Prior experience architecting full-stack robotics systems in a humanoid, legged mobility, mobile manipulation, or high-DOF automation platform.
  
  
• Hands-on experience with perception pipelines, real-time control systems, and safety-rated architectures.
  
  
• Familiarity with AI and reinforcement learning techniques applied to robotics learning and control.
  
  
• PhD or Master’s degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related field.
  
  
• Experience mentoring and growing teams of senior engineers and staff-level talent.
  
  

Why Agility Robotics?

At Agility Robotics, we are building the future of human-centric automation through groundbreaking humanoid robots. As a foundational technical leader, you’ll help shape a product and platform that redefines the role of robots in the workforce—developed by a world-class team committed to innovation, engineering excellence, and real-world impact.

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About The Role:

We’re seeking an AI Intern to help our humanoid robot, Digit, navigate and interact with the world. You’ll be in the driver’s seat of an applied research project, moving past theory to see your code manifest in motion on hardware. You’ll work alongside some of the brightest minds in the industry, utilizing a fleet of Digits as your playground.

About the work:

• Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
• Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
• Improve data collection, model training, and evaluation frameworks.
• Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
• Present your findings to a world-class team of engineers and researchers.

About you:

• Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Strong skills in Python and modern ML frameworks. (PyTorch, JAX, etc.).
• Excited to integrate, run, and evaluate your learned policies on the robot.
• Strong analytical and debugging skills.
• Ability to work independently on open-ended technical problems.

Preferred Skills and Experience:

• Expertise in one or more of the following areas:
• Reinforcement learning
• Learning from demonstration
• Multimodal learning (vision, proprioception, forces, etc)
• Sim-2-real
• Experience training machine learning models on real or simulated datasets.
• Experience working with robot hardware.
• Experience analyzing experimental data and communicating results.