Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.
We’re proud to have a team of brilliant minds from organizations like NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more. Together, we are united by a shared passion for reshaping the future through robotics.
Learn more at https://fieldai.com.
About the role:
We are looking for a Deployment Logistics Coordinator to manage the movement of robots, spare parts, equipment, and other materials between FieldAI HQ, customer sites, and field deployment locations. This role will serve as the central point of coordination for all deployment logistics, working closely with deployment, service, engineering, and hardware teams to ensure offsite operations run smoothly.
The role will also coordinate domestic and international shipments, including freight forwarding, customs clearance, import/export compliance, carnet management, and country-specific shipping requirements.
Key ResponsibilitiesOwn the end-to-end logistics process for deployment and return of robots, spare parts, and equipment between HQ, customer sites, and field operations.
Coordinate domestic and international shipments, including freight carriers, customs documentation, and delivery timelines.
Maintain accurate inventory records, asset locations, calibration status, shipping history, and equipment availability to ensure deployment readiness.
Own the process for preparing, inspecting, and documenting equipment before deployment and upon return.
Serve as the primary logistics point of contact across Commercial Operations, ensuring clear communication on availability, schedules, and any delays or issues.
Maintain detailed logs of equipment usage, shipping costs, and deployment history.
When needed, travel to customer sites or events to support equipment setup, handoff, or retrieval.
Prepare, package, label, and inspect robots, batteries, spare parts, and deployment equipment for shipment.
Receive returned equipment, perform intake inspections, and coordinate repair or replenishment as needed.
Required Qualifications4+ years experience in logistics, shipping, asset management, or field operations coordination
Strong organizational skills and meticulous attention to detail
Excellent communication skills - comfortable coordinating across multiple teams and external partners
Proficiency with tracking systems, spreadsheets, and project management tools (e.g., Google Sheets, Jira, Confluence)
Valid driver's license; willingness to travel up to 25% of the time
Thrives in a fast-paced, rapidly changing environment
Preferred QualificationsExperience in robotics, autonomous vehicles, or hardware company logistics
Coordinate international shipments, including commercial invoices, customs documentation, carnets, import/export compliance, freight forwarding, and country-specific shipping requirements.
Experience supporting trade shows, demos, or customer events
Exposure to inventory management systems or ERP tools
Why FieldAIWork with autonomous robots and AI technology that’s genuinely changing industries
Be at the center of the action — you’ll interact with influential leaders across robotics, construction, energy, and beyond
Join a $2B unicorn company at a pivotal moment of growth
Collaborative, mission-driven team at a brand-new Irvine Spectrum headquarters
CompensationThe salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work PhilosophyAt Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe are hiring a GTM Systems Analyst to own the systems that run our go-to-market engine. You will be the single technical owner of Salesforce and the surrounding sales, intelligence, and data tooling — the person who makes sure data flows cleanly, processes are enforced in the system, and the team has the reports they need to make decisions. You will work both hands-on inside the tools and alongside external implementation partners, owning the relationship and the requirements so the work ships right. This is a build-from-the-ground-up role reporting directly to the Head of GTM Finance & RevOps. You will not inherit a mature stack; you will help architect one that survives the next 3x of headcount growth without a rebuild.
If you like being the person who untangles messy data, ships the automation that saves reps an hour a day, and gets quoted in the forecast call because your numbers are the ones everyone trusts — this is for you.
Our GTM StackYou will own, integrate, and continuously improve our go-to-market stack — working both internally and with external implementation partners:
Salesforce — system of record and the hub everything else connects into.
ZoomInfo & Clay — enrichment, prospecting, and account/contact data quality.
Gong — conversation intelligence and automatic activity capture.
AWS & Snowflake — the GTM data layer and warehouse where clean CRM data flows for reporting and analytics.
Claude — AI automation across the stack — used to clean data, automate manual GTM work, and accelerate reporting.
What You'll DoSalesforce administration, configuration, and governance — objects, fields, page layouts, validation rules, and user management. You protect data quality aggressively and keep the org clean as we scale.
Data and integrations: connecting ZoomInfo, Clay, and Gong into Salesforce, and the GTM data layer on AWS and Snowflake — partnering with our data team so clean, trusted data flows from the CRM into the warehouse for reporting and analytics.
AI-assisted automation: building Claude-powered workflows that automate manual GTM tasks, enrich and clean records, and speed up reporting. You will be encouraged to find and ship these.
Implementation partners: owning external implementation partners — you scope requirements, manage the engagement, and review what they deliver so changes land cleanly and don't create technical debt.
Workflow and automation: lead routing, ownership rules, and SLA enforcement, plus the MQL→SQL→SAL handoff logic so no lead falls through the cracks and reps trust the system.
Reporting and dashboards: pipeline stages and exit criteria, opportunity scoring, and the dashboards leadership and the board rely on — pipeline coverage, ARR, activity, and funnel conversion.
Data hygiene: deduplication, normalization, and enrichment routines that keep Salesforce the source of truth. No forecast or comp calculation is worth anything on top of garbage data.
Documentation and enablement: clear documentation of how every system and process works, so the stack does not live only in your head and the next hire can pick it up.
What You Have2–5 years in RevOps, Sales Operations, Marketing Operations, or CRM administration at a B2B company.
Hands-on administration experience with Salesforce — you can build fields, flows, validation rules, and reports yourself, not just file tickets.
Strong data instincts: comfortable in spreadsheets at an advanced level, and able to spot when numbers are wrong before anyone else does.
Experience integrating at least one adjacent GTM tool (e.g., ZoomInfo, Clay, Gong, or similar enrichment/intelligence tooling) with a CRM either on your own or working with external partners.
Clear communicator who can translate a messy business request into a clean system requirement — and document it.
Salesforce Administrator certification.
What Sets You ApartExposure to complex, multi-stakeholder enterprise sales cycles (pilots/POCs, land-and-expand) or hardware/services revenue models.
Familiarity with Snowflake, SQL, or a cloud data stack (AWS), and comfort using AI tools like Claude to automate work.
Experience managing external implementation partners or systems integrators.
Experience at an early-stage, high-growth startup where you built process rather than inheriting it.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessField AI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI.
Role OverviewEvents are one of the highest-leverage channels we have. They're where technical buyers see the hardware in motion, where enterprise relationships form, and where FieldAI's presence signals the category we're building. This role owns that entirely.
As Events Marketing Manager, you will own the full events function at FieldAI — strategy, execution, and agency management. You'll define where we show up, how we show up, and what we leave behind. You'll run field marketing and trade shows end-to-end, and you'll lead internal event production including the Mission Center sessions that give customers and prospects direct access to our platform. This is a builder role. There is no inherited playbook. You'll create it.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessIntegrate humanoid subsystems into a reliable full-stack robot system running on physical hardware.
Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.
Own robot bring-up, calibration, configuration, diagnostics, and validation workflows.
Debug system-level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior.
Develop integration tests, regression tests, telemetry tools, dashboards, and release-readiness checks.
Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable.
Harden research or prototype capabilities into maintainable, testable, deployment-ready modules.
What You BringMS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure.
Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome.
Strong hands-on experience integrating robotic systems on real hardware — must include physical hardware; simulation-only backgrounds will not be considered.
Strong C++ and Python skills in Linux-based robotics environments.
Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems.
Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints.
Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams.
What Sets You ApartYou've integrated a humanoid or legged/mobile manipulation platform from bring-up through field deployment — not just research or simulation.
You've owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware.
You've built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys.
You carry hard-won instincts about what separates a demo-ready system from a deployment-ready one — and you've acted on that distinction.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWho are We?
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Learn more at https://fieldai.com.
About the JobAt FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Senior Software Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs
As a Senior Software Engineer at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.
What You’ll Get To DoDrive strategic integration, debugging, and rapid capability development while providing essential software support
Build robust utilities and tools to facilitate integration and automated testing for system software builds
Provide high-level technical expertise and analytical insights to advance the development of robust software architectures
What You HavePhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research
Proven expertise in software engineering across the full program lifecycle, with a focus on early-stage system design and development.
Experience/Familiarity with robotics middleware such as ROS / ROS 2 or similar distributed robotics software systems
Experience/Familiarity with distributed systems (multiple nodes, real-time comms)
Experience/Familiarity with embedded systems (C/C++ on constrained hardware)
Ability to work effectively across adjacent domains, including software, electronics, networking, and mechanical interfaces
Proven track record managing complex programs with multiple dependencies in agile/hybrid frameworks
Excellent written and verbal communication skills; comfortable presenting to executives and diverse audiences
Strong analytical capabilities, with experience in financial modeling, ROI analysis, and tracking KPIs
Ability to thrive in fast‑paced, high‑growth startup environments; proactive, adaptable, resilient
The Extras That Set You ApartExperience deploying, operating, or maintaining mission-critical systems in real-world environments.
Experience using Jira or Wrike or Confluence or other program management software tools
Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions.
Excellent communication skills, with the ability to explain technical concepts to non-technical users.
Willingness to travel and work on-site with customers as needed.
This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.
Compensation
The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our HQ in Irvine, CA. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessAs an ML Engineer at FieldAI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale – through advances in model architecture, training methodologies, and deployment strategies.
You’ll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you’ll also support deployment and monitoring to ensure smooth integration and reliable real-world performance.
This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.
What You’ll Get To DoMachine Learning modeling
Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making. Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.Explore novel data generation and collection pipelines to enrich training datasets.Model Deployment, Monitoring & Performance
Assist with deploying machine learning models into production environmentsContinuously monitor models in production, detecting model drift, and automating retraining processes as applicableTroubleshoot issues related to model deployment, performance, and system integration.What You HaveBachelor's or Master's degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.
Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components — including perception, prediction, and path/motion planning.Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.The Extras That Set You ApartPublications in top tier ML or robotics conferencesOur salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessAs an ML Engineer at FieldAI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale – through advances in model architecture, training methodologies, and deployment strategies.
You’ll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you’ll also support deployment and monitoring to ensure smooth integration and reliable real-world performance.
This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.
What You’ll Get To DoMachine Learning modeling
Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making. Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.Explore novel data generation and collection pipelines to enrich training datasets.Model Deployment, Monitoring & Performance
Assist with deploying machine learning models into production environmentsContinuously monitor models in production, detecting model drift, and automating retraining processes as applicableTroubleshoot issues related to model deployment, performance, and system integration.What You HaveBachelor's or Master's degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.
Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components — including perception, prediction, and path/motion planning.Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.The Extras That Set You ApartPublications in top tier ML or robotics conferencesOur salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessWe are looking for a Robotics Simulation Software Engineer to build and improve Field AI’s internal simulation tools used for autonomy development, debugging, and evaluation.
This role is for someone who goes beyond simply running simulators. We are looking for an engineer who can maintain and extend simulation systems, improve code quality and fidelity, debug simulator-to-robot gaps, and help turn real-world robot behavior into reproducible simulation scenarios.
You will work closely with autonomy, infrastructure, and field teams to make simulation a practical part of the development loop: reproduce field issues, improve autonomy, and validate robot behavior before returning to the field.
What You’ll Get To DoMaintain, refactor, and improve internal robotics simulation tools and infrastructure.
Improve simulation fidelity for autonomy evaluation, including robot behavior, sensor modeling, timing, terrain interaction, and environment representation.
Build workflows for scenario execution, log replay, regression testing, metrics, and visualization.
Develop real-to-sim workflows that turn field logs, reconstructed environments, and failure cases into reproducible simulation scenarios.
Work with autonomy and field teams to identify and debug gaps between simulated and real robot behavior.
Improve developer workflows around simulation performance, reproducibility, debugging, and test automation.
Contribute to the long-term simulation strategy for legged robots and humanoids operating in complex real-world environments.
What You Have3+ years of experience developing robotics simulation tools, simulation infrastructure, autonomy evaluation systems, or related robotics software.
Strong software engineering skills in C++ and/or Python.
Experience with simulation platforms such as Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or custom robotics simulators.
Familiarity with ROS2 or similar robotics middleware, including sensors, transforms, logs, and timing.
Experience with robot or simulation assets such as URDF, SDF, meshes, dynamics, or sensor models.
Ability to debug simulator-to-robot gaps across sensing, timing, dynamics, and autonomy behavior.
Comfortable working across research code, production robotics software, simulation infrastructure, and real-world robot deployment workflows.
What Will Set You ApartExperience developing simulator plugins, custom sensor models, physics extensions, terrain/contact models, or environment authoring tools.
Experience with large-scale batch simulation, CI-based regression testing, deterministic replay, or scenario evaluation infrastructure.
Experience using real-world robot data to validate, tune, or improve simulation models.
Experience with software-in-the-loop, hardware-in-the-loop, log replay, or simulation correlation.
Experience with legged robots, humanoids, field robotics, or robots operating in unstructured environments.
Experience with Isaac Sim, Omniverse, USD, PhysX, ROS2, Docker, CMake, Bazel, or GitHub Actions.
What Will Set You ApartExperience developing simulator plugins, custom sensor models, physics extensions, rendering pipelines, terrain/contact models, robot model generators, or environment authoring tools.
Experience building large-scale batch simulation, CI-based autonomy regression testing, deterministic replay, or scenario evaluation infrastructure.
Ability to use real-world robot data to validate, tune, or improve simulation models and autonomy evaluation workflows.
Experience with software-in-the-loop, hardware-in-the-loop, log replay, simulation correlation, or regression testing infrastructure.
Why Join Field AIBuild simulation systems that connect real-world robot deployment with faster, safer autonomy development.
Help turn field data into reproducible simulation scenarios and simulation results into more reliable deployed robots.
Work with a hands-on robotics team focused on autonomy in complex, unstructured, previously unknown environments.
Contribute to systems that are already being deployed globally and improving through real field experience.
Why Join Field AI?We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read LessDesign, implement, and evaluate humanoid manipulation and loco-manipulation behaviors on real hardware
Integrate perception, planning, control, grasping, whole-body coordination, and task execution into deployable robot workflows
Run hardware experiments, analyze failures, and improve manipulation reliability across diverse objects, environments, and tasks
Partner with system integration, hardware, field application, and testing teams to move capabilities from prototype to deployment
Support teleoperation, data collection, and human-in-the-loop workflows for improving manipulation performance
Build tools, metrics, and evaluation protocols for manipulation success, repeatability, failure recovery, and operator usability
Debug cross-domain issues spanning software, sensors, actuators, end-effectors, calibration, timing, and field conditions
What You BringMS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure
Hands-on experience with robotic manipulation, humanoids, mobile manipulation, dexterous hands, or contact-rich robotics — must include physical hardware; simulation-only backgrounds will not be considered
Strong foundation in kinematics, dynamics, motion planning, control, and real robot experimentation
Experience with C++, Python, ROS/ROS2, and Linux in a real robotics codebase
Demonstrated ability to iterate quickly from experiment to working behavior on physical hardware; comfortable running daily hardware experiments, analyzing failures, and adapting approach in real-time
Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome
What Sets You ApartExperience with humanoid platforms or contact-rich, dexterous manipulation systems — you've worked with robots that have hands, not just grippers
Background in robot learning applied to physical hardware: imitation learning, reinforcement learning, or task and motion planning that you've validated on a real robot, not just in simulation
You've taken a manipulation capability from prototype to reliable, repeatable field behavior — you know what it takes to close that gap and you've done it
Track record of building evaluation frameworks for manipulation: test suites, metrics for success and failure, and the discipline to document and learn from what breaks
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read Less