Field AI

Field AI's Hardware Team builds perception and compute payloads for autonomous robotics systems, including LiDAR, camera, ToF, IMU, GPS, embedded compute, power, and mechanical components. This internship focuses on designing and validating rugged mechanical structures, sensor mounts, ingress protection, thermal management, CAD assemblies, prototyping, and production support for field-deployed robotics hardware. Observed posted_at: 2026-08-10 Observed freshness: lever_json_created_at_2026-08-10;live_apply_page_observed_on_2026-08-10 Remote signal: onsite Salary: $35 - $45 an hour Source URL: https://jobs.lever.co/field-ai/88f05d6e-ee93-4fc5-80cd-efe6854e22bc Tag hints: XR, spatial computing, 3D graphics

About Us 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. Human-Robot Interaction & Product Design Engineer In this role you will develop hardware that shapes how our robotic systems look, feel, and sound.

Irvine, CA · Engineering – Autonomy · Full time · On-site 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 As a Senior Software Engineer in Behavior & Interaction , you will own the software systems that turn raw autonomy into finished missions. You operationalize that autonomy into repeatable, user-facing missions, design how humans task and collaborate with our robots, and deliver the insights our customers actually act on.

Field AI is hiring a senior software engineer in test to validate robotics software and embodied-AI systems across hardware, autonomy workflows, and production-quality test infrastructure. Observed posted_at: 2026-07-29 Observed freshness: lever_created_at_2026-07-29;live_apply_page_observed_on_2026-08-06 Remote signal: onsite Salary: not published Source URL: https://jobs.lever.co/field-ai/09957713-086c-4c27-a170-f2821b8c55ce Tag hints: XR, spatial computing, 3D graphics

Robotics AI Engineer – Sensor Calibration About Field AI 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. Learn more at https://fieldai.com. About the Job Field AI is seeking a Robotics AI Engineer to help advance the sensor calibration systems that power our autonomous robots. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work alongside a highly focused group of engineers developing production-grade calibration pipelines for complex multi-sensor robotic platforms. Your work will span camera, LiDAR, IMU, and other sensor modalities, contributing to intrinsic, extrinsic, and temporal calibration workflows that enable reliable perception in real-world environments. Depending on your experience and interests, you'll improve automated calibration tooling, optimize large-scale sensor data processing, and develop robust calibration algorithms that support our downstream localization, mapping, and autonomy systems. The ideal candidate combines a strong foundation in robotics, computer vision, and 3D geometry with the practical engineering skills needed to build scalable, maintainable software in a fast-paced, collaborative environment. What You Get To Do Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings. Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance. Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base. Explore and integrate emerging technologies and tools to enhance sensor calibration workflows. Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables. What You Have Master’s degree in Computer Science, Engineering, or a related field. 2+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration. Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code. Solid background knowledge of 3D geometry and computer vision. Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-Camera calibration, multi-sensor extrinsic calibration). Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc. Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu. Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o. Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities. Strong work ethic, highly self-motivated, and excellent written and verbal communication skills. The Extras That Set You Apart Ph.D. in Computer Science, Engineering, or a related field. Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision. Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices). Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows. 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. Robotics AI Engineer – Sensor Calibration About Field AI 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. Learn more at https://fieldai.com . About the Job Field AI is seeking a Robotics AI Engineer to help advance the sensor calibration systems that power our autonomous robots. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work alongside a highly focused group of engineers developing production-grade calibration pipelines for complex multi-sensor robotic platforms. Your work will span camera, LiDAR, IMU, and other sensor modalities, contributing to intrinsic, extrinsic, and temporal calibration workflows that enable reliable perception in real-world environments. Depending on your experience and interests, you'll improve automated calibration tooling, optimize large-scale sensor data processing, and develop robust calibration algorithms that support our downstream localization, mapping, and autonomy systems. The ideal candidate combines a strong foundation in robotics, computer vision, and 3D geometry with the practical engineering skills needed to build scalable, maintainable software in a fast-paced, collaborative environment. What You Get To Do Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings. Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance. Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base. Explore and integrate emerging technologies and tools to enhance sensor calibration workflows. Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables. What You Have Master’s degree in Computer Science, Engineering, or a related field. 2+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration. Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code. Solid background knowledge of 3D geometry and computer vision. Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-Camera calibration, multi-sensor extrinsic calibration). Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc. Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu. Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o. Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities. Strong work ethic, highly self-motivated, and excellent written and verbal communication skills. The Extras That Set You Apart Ph.D. in Computer Science, Engineering, or a related field. Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision. Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices). Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows. 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. Observed posted_at: 2026-08-05 Observed freshness: lever_created_at_2026-08-05;live_apply_page_observed_on_2026-08-07 Remote signal: onsite Salary: not published Source URL: https://jobs.lever.co/field-ai/1ff2ae13-b4a7-4800-a52e-d1c858924861 Tag hints: XR, VR, AR, spatial computing, Unity XR, 3D graphics

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that enable robots to operate in complex, unpredictable environments. By combining advanced AI, robotics, and real-world deployment experience, we are developing solutions that move beyond simulation and deliver measurable impact across industries. Our systems are already deployed globally, helping customers unlock new possibilities in construction, security, mining, manufacturing, and beyond. We are building the foundation for the next generation of embodied intelligence—where robots can understand, navigate, and operate safely in the world around them. About the Job Field AI is building the future of autonomy—from rugged field environments to real-world customer deployments. We’re looking for a Mapping Solution Engineer who can bring our 3D mapping solutions to life by owning deployment, integration, and ongoing performance in the field. This role sits at the intersection of robotics engineering, customer delivery, and technical problem-solving. You’ll work hands-on with 3D mapping systems, robots, sensors, and customer environments to ensure successful deployments while continuously improving reliability through field feedback. You’ll collaborate closely with software engineers, robotics teams, operations, and customers to deliver mapping solutions that operate in large-scale, unstructured environments. If you enjoy building technology that leaves the lab, solving complex real-world problems, and seeing your work directly enable autonomous systems, this is your role. What You’ll Get To Do 1. Develop and Deploy 3D Mapping Solutions Design, develop, and maintain production-grade software for 3D mapping applications. Deploy large-scale mapping systems and data processing pipelines into real-world environments. Validate mapping systems and algorithms through testing on robots, sensors, and field deployments. Build internal tooling, automation, and benchmarking infrastructure to improve reliability, performance, and repeatability. Troubleshoot and optimize mapping workflows across software, hardware, and data pipelines. 2. Own Solution Delivery and Field Deployment Lead end-to-end delivery of mapping data products, including data capture, processing, quality validation, and customer handoff. Support on-site and remote deployments, ensuring systems are operational and performing as expected. Conduct technical demonstrations, pilots, and evaluations for prospective and existing customers. Partner with internal engineering teams and customers to identify issues, gather feedback, and drive improvements. Develop scalable deployment processes, documentation, and best practices to improve future rollouts. 3. Bridge Field Operations and Engineering Translate real-world deployment challenges into actionable technical improvements. Analyze field data and system performance to improve mapping reliability and customer outcomes. Work across robotics, software, operations, and customer teams to solve complex technical challenges. Support mission-critical robotic deployments in dynamic and unpredictable environments. What You Have Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, Geomatics, or a related technical field (or equivalent practical experience). 2+ years of experience in robotics software development, 3D mapping, systems integration, or field deployment of complex technical systems. Strong programming skills in C++ and Python with experience writing production-quality software. Experience with 3D geometry, point cloud processing, and algorithms such as ICP and NDT. Familiarity with point cloud libraries and tools such as PCL or Open3D. Experience working with LiDAR systems and 3D data formats including PCD, PLY, E57, or LAS. Familiarity with ROS, Git, and Linux/Ubuntu-based development environments. Strong debugging and troubleshooting skills across software, hardware, and networking systems. Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical audiences. Ability to manage multiple priorities and thrive in fast-paced, ambiguous environments. Willingness to travel and work on-site with customers as needed. The Extras That Set You Apart Experience with geospatial data, georeferencing, coordinate systems, survey control, or calibration workflows. Experience deploying and maintaining mission-critical robotics or autonomous systems in real-world environments. Familiarity with point cloud and survey software such as CloudCompare, Leica Cyclone, Faro Scene, or Trimble RealWorks. Experience working directly with customers in high-stakes technical environments. Experience with project management tools such as Jira, Wrike, or Confluence. Background in robotics, autonomous vehicles, drones, or field robotics. Experience working at a startup or high-growth company with a strong ownership mindset. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying intelligent robots in unstructured, previously unknown environments. Our Field Foundational Models™ enable robots to perceive, reason, and operate safely in the real world, creating a new generation of autonomous systems. You’ll work alongside a world-class team of researchers, engineers, and builders from organizations including DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. At Field AI, you’ll have the opportunity to work on technology that moves beyond the lab—building systems that operate in the real world and redefine what robots can do. Be Part of the Next Robotics Revolution We’re looking for people who challenge assumptions, solve hard problems, and thrive in environments where the answers aren’t already known. Join a team of engineers, researchers, field operators, and innovators working together to bring embodied intelligence into the world. Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that enable robots to operate in complex, unpredictable environments. By combining advanced AI, robotics, and real-world deployment experience, we are developing solutions that move beyond simulation and deliver measurable impact across industries. Our systems are already deployed globally, helping customers unlock new possibilities in construction, security, mining, manufacturing, and beyond. We are building the foundation for the next generation of embodied intelligence—where robots can understand, navigate, and operate safely in the world around them. About the Job Field AI is building the future of autonomy—from rugged field environments to real-world customer deployments. We’re looking for a Mapping Solution Engineer who can bring our 3D mapping solutions to life by owning deployment, integration, and ongoing performance in the field. This role sits at the intersection of robotics engineering, customer delivery, and technical problem-solving. You’ll work hands-on with 3D mapping systems, robots, sensors, and customer environments to ensure successful deployments while continuously improving reliability through field feedback. You’ll collaborate closely with software engineers, robotics teams, operations, and customers to deliver mapping solutions that operate in large-scale, unstructured environments. If you enjoy building technology that leaves the lab, solving complex real-world problems, and seeing your work directly enable autonomous systems, this is your role. What You’ll Get To Do 1. Develop and Deploy 3D Mapping Solutions Design, develop, and maintain production-grade software for 3D mapping applications. Deploy large-scale mapping systems and data processing pipelines into real-world environments. Validate mapping systems and algorithms through testing on robots, sensors, and field deployments. Build internal tooling, automation, and benchmarking infrastructure to improve reliability, performance, and repeatability. Troubleshoot and optimize mapping workflows across software, hardware, and data pipelines. 2. Own Solution Delivery and Field Deployment Lead end-to-end delivery of mapping data products, including data capture, processing, quality validation, and customer handoff. Support on-site and remote deployments, ensuring systems are operational and performing as expected. Conduct technical demonstrations, pilots, and evaluations for prospective and existing customers. Partner with internal engineering teams and customers to identify issues, gather feedback, and drive improvements. Develop scalable deployment processes, documentation, and best practices to improve future rollouts. 3. Bridge Field Operations and Engineering Translate real-world deployment challenges into actionable technical improvements. Analyze field data and system performance to improve mapping reliability and customer outcomes. Work across robotics, software, operations, and customer teams to solve complex technical challenges. Support mission-critical robotic deployments in dynamic and unpredictable environments. What You Have Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, Geomatics, or a related technical field (or equivalent practical experience). 2+ years of experience in robotics software development, 3D mapping, systems integration, or field deployment of complex technical systems. Strong programming skills in C++ and Python with experience writing production-quality software. Experience with 3D geometry, point cloud processing, and algorithms such as ICP and NDT. Familiarity with point cloud libraries and tools such as PCL or Open3D. Experience working with LiDAR systems and 3D data formats including PCD, PLY, E57, or LAS. Familiarity with ROS, Git, and Linux/Ubuntu-based development environments. Strong debugging and troubleshooting skills across software, hardware, and networking systems. Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical audiences. Ability to manage multiple priorities and thrive in fast-paced, ambiguous environments. Willingness to travel and work on-site with customers as needed. The Extras That Set You Apart Experience with geospatial data, georeferencing, coordinate systems, survey control, or calibration workflows. Experience deploying and maintaining mission-critical robotics or autonomous systems in real-world environments. Familiarity with point cloud and survey software such as CloudCompare, Leica Cyclone, Faro Scene, or Trimble RealWorks. Experience working directly with customers in high-stakes technical environments. Experience with project management tools such as Jira, Wrike, or Confluence. Background in robotics, autonomous vehicles, drones, or field robotics. Experience working at a startup or high-growth company with a strong ownership mindset. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying intelligent robots in unstructured, previously unknown environments. Our Field Foundational Models™ enable robots to perceive, reason, and operate safely in the real world, creating a new generation of autonomous systems. You’ll work alongside a world-class team of researchers, engineers, and builders from organizations including DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. At Field AI, you’ll have the opportunity to work on technology that moves beyond the lab—building systems that operate in the real world and redefine what robots can do. Be Part of the Next Robotics Revolution We’re looking for people who challenge assumptions, solve hard problems, and thrive in environments where the answers aren’t already known. Join a team of engineers, researchers, field operators, and innovators working together to bring embodied intelligence into the world. Observed posted_at: 2026-07-31 Observed freshness: lever_created_at_2026-07-31;live_apply_page_observed_on_2026-08-07 Remote signal: onsite Salary: not published Source URL: https://jobs.lever.co/field-ai/fe613d6b-3cad-48ae-9e5f-91a9d0ce8a96 Tag hints: XR, spatial computing, Unity XR, 3D graphics

About the Role We 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.

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. About the Role We are looking for a Technical Project Manager to lead the planning and execution of our 3D mapping projects while remaining hands-on with the underlying technology. This is a hybrid engineering and project management role where you'll contribute directly to the development of our mapping systems while driving projects from concept through production deployment. The ideal candidate has a strong technical background in robotics software, computer vision, or 3D mapping and enjoys coordinating cross-functional teams to deliver high-quality solutions. You'll work closely with engineering, product, operations, and customer-facing teams to ensure projects are well planned, clearly communicated, and successfully delivered. We're seeking someone with 4+ years of experience in robotics software development and technical project management who thrives in fast-paced startup environments and enjoys balancing technical problem-solving with project execution. What You'll Get To Do Software Development & Mapping Design, develop, and maintain production-grade software for 3D mapping solutions. Deploy large-scale mapping systems and data processing pipelines into production. Validate mapping systems and algorithms using real robots and sensors in complex, unstructured environments. Build and improve internal tooling, automation, and benchmarking infrastructure to increase reliability and repeatability. Technical Project Management Own mapping projects from planning through delivery, coordinating execution across software, hardware, systems, data, and operations. Translate technical and customer requirements into project plans, milestones, and delivery timelines. Drive cross-functional collaboration across engineering, product, operations, and customer-facing teams. Track project progress using Jira, Confluence, or similar tools while managing scope, schedules, and dependencies. Identify risks early, communicate project status clearly, and drive issues to resolution. Develop documentation, processes, and playbooks that improve execution and scalability across future projects. What You Have Bachelor's degree in Computer Science, Engineering, or a related technical field. 4+ years of experience in robotics software development and technical project management. Strong programming skills in C++ and Python. Experience with 3D geometry, point cloud processing, and libraries such as PCL or Open3D. Experience using Jira, Confluence, Wrike, or similar project management tools. Strong understanding of Agile development methodologies and the software development lifecycle (SDLC). Excellent communication, organization, and stakeholder management skills. Ability to manage multiple technical projects in fast-paced, evolving environments. The Extras That Set You Apart Experience with LiDAR sensors, Linux/Ubuntu, and robotics software development best practices. Background in mobile robotics, autonomous vehicles, drones, or embedded systems. Experience with data capture, mapping, or system integration in production environments. Experience supporting field operations or customer deployments. PMP, Scrum Master, or Agile certification. Experience working in a startup or high-growth environment with a strong sense of ownership. 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. About the Role We are looking for a Technical Project Manager to lead the planning and execution of our 3D mapping projects while remaining hands-on with the underlying technology. This is a hybrid engineering and project management role where you'll contribute directly to the development of our mapping systems while driving projects from concept through production deployment. The ideal candidate has a strong technical background in robotics software, computer vision, or 3D mapping and enjoys coordinating cross-functional teams to deliver high-quality solutions. You'll work closely with engineering, product, operations, and customer-facing teams to ensure projects are well planned, clearly communicated, and successfully delivered. We're seeking someone with 4+ years of experience in robotics software development and technical project management who thrives in fast-paced startup environments and enjoys balancing technical problem-solving with project execution. What You'll Get To Do Software Development & Mapping Design, develop, and maintain production-grade software for 3D mapping solutions. Deploy large-scale mapping systems and data processing pipelines into production. Validate mapping systems and algorithms using real robots and sensors in complex, unstructured environments. Build and improve internal tooling, automation, and benchmarking infrastructure to increase reliability and repeatability. Technical Project Management Own mapping projects from planning through delivery, coordinating execution across software, hardware, systems, data, and operations. Translate technical and customer requirements into project plans, milestones, and delivery timelines. Drive cross-functional collaboration across engineering, product, operations, and customer-facing teams. Track project progress using Jira, Confluence, or similar tools while managing scope, schedules, and dependencies. Identify risks early, communicate project status clearly, and drive issues to resolution. Develop documentation, processes, and playbooks that improve execution and scalability across future projects. What You Have Bachelor's degree in Computer Science, Engineering, or a related technical field. 4+ years of experience in robotics software development and technical project management. Strong programming skills in C++ and Python. Experience with 3D geometry, point cloud processing, and libraries such as PCL or Open3D. Experience using Jira, Confluence, Wrike, or similar project management tools. Strong understanding of Agile development methodologies and the software development lifecycle (SDLC). Excellent communication, organization, and stakeholder management skills. Ability to manage multiple technical projects in fast-paced, evolving environments. The Extras That Set You Apart Experience with LiDAR sensors, Linux/Ubuntu, and robotics software development best practices. Background in mobile robotics, autonomous vehicles, drones, or embedded systems. Experience with data capture, mapping, or system integration in production environments. Experience supporting field operations or customer deployments. PMP, Scrum Master, or Agile certification. Experience working in a startup or high-growth environment with a strong sense of ownership. Observed posted_at: 2026-07-31 Observed freshness: lever_created_at_2026-07-31;live_apply_page_observed_on_2026-08-07 Remote signal: onsite Salary: not published Source URL: https://jobs.lever.co/field-ai/becff218-8524-4482-b675-3c656c6c46bc Tag hints: XR, spatial computing, 3D graphics

About Us 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. Reality Capture & Sensor Payload Engineer In this role on the Hardware Team at Field AI, you will deliver the sensor modules that turn our robots into data-collection platforms for customers. This spans sensor selection, calibration, electro-mechanical integration, validation, and the data pipelines that carry sensor output from capture through processing. Examples of sensor modules include high-resolution LiDAR scanners, PTZ and thermal cameras, depth cameras, GNSS/RTK, and gas detection sensors. Candidates should be familiar with concepts and workflows such as laser scanning, photogrammetry, digital twins, BIM, and deviation and change analysis. You will collaborate with the product team to

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics. FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You’ll work d