Robotics Software Engineer – Integration Specialist

Field AI is revolutionizing the way robots engage with the physical environment. We are developing reliable, risk-aware AI systems tailored for complex robotic challenges, thereby unlocking the potential of embodied intelligence. Unlike conventional data-driven methods or solely transformer-based models, our innovative approach has already yielded globally deployed solutions that provide tangible results and enhance models through real-world applications.Robotics AI Engineer – Calibration, Localization, and MappingLocation: Irvine, CAAbout Field AIAt Field AI, we lead the charge in robotic embodied AI, transforming sectors such as construction, security, mining, and manufacturing. Our autonomous robots function globally, often in challenging conditions, delivering invaluable insights to our clients. Whether it's tracking construction progress, ensuring compliance with safety standards, or performing predictive maintenance, Field AI is at the forefront of technological advancement that creates significant impact.Discover more at https://fieldai.com.About the PositionField AI is on the lookout for enthusiastic scientists and engineers eager to contribute to the advancement of sophisticated geometric robot perception algorithms. As a key member of our Calibration, Localization, and Mapping (CLAM) team, you will collaborate with a group of focused professionals in a dynamic environment to produce production-grade code within our calibration, localization, and mapping subsystems. You will engage with various sensing modalities and enhance our calibration pipeline or create environment-agnostic localization and mapping algorithms for our autonomy modules. The specific projects you will undertake will align with your skill set and interests. Ideal candidates will possess a robust theoretical foundation in modern calibration, localization, and mapping algorithms, coupled with the practical ability to deliver high-quality, maintainable code in a fast-paced, focused team setting.

FieldAI is at the forefront of embodied AI, integrating cutting-edge technology with real-world robotics, sensors, and deployments in our Irvine office. Situated in the vibrant robotics ecosystem of Southern California, we create risk-aware and reliable AI systems designed for field applications. If you are eager to see your work come to life through hardware testing and real-world deployments, our team in Irvine is the ideal environment. We employ advanced engineering techniques and learning systems, surpassing traditional data-driven methods, to continuously enhance the performance of our globally deployed robots.We are seeking a Robotics Software Engineer specializing in Mapping to innovate and implement advanced perception and 3D mapping systems at FieldAI. This hands-on position involves direct interaction with physical robots, sensors, and diverse field environments, making it a truly immersive role.As part of our dynamic Irvine team, you will be instrumental in developing scalable, production-ready point cloud and mapping pipelines that drive customer outcomes and support our globally deployed robotic systems.You will oversee the end-to-end process from data capture to documentation, including integrating laser scanners, validating mapping performance in realistic scenarios, and enhancing the reliability of our systems through meticulous engineering practices.

Join field-ai as a Senior Robotics Engineer, where you will play a pivotal role in advancing our cutting-edge robotics technologies. You will be responsible for designing, developing, and testing innovative robotic systems that solve real-world problems. If you are passionate about robotics and eager to contribute to groundbreaking projects, this is the perfect opportunity for you!

Join Field AI, where we are revolutionizing the future of robotics through intelligent AI systems. Our mission is to create transformative, risk-aware, and reliable robotics solutions that tackle complex challenges in real-world settings, enabling robots to unlock their full potential. We focus on innovative approaches that surpass conventional data-driven methodologies and purely transformer-based architectures. Our globally deployed solutions are already yielding remarkable results, continuously enhanced through practical field applications.Are you passionate about shaping the future of AI-powered robotics? Do you excel at the crossroads of advanced autonomy, real-world implementation, and AI-driven decision-making? We are looking for a Robotics AI Engineer specializing in Field Foundation Models and Dynamics Foundation Models. In this pivotal role, you will design, develop, and deploy state-of-the-art AI-driven planning and control frameworks, ensuring our robots navigate effectively in unpredictable and high-pressure environments. This is a unique opportunity to redefine embodied AI, collaborating with a talented team that values innovative thinking, practical execution, and an AI-focused engineering approach. If you’re excited about creating adaptive, intelligent autonomy that learns and evolves beyond traditional models, we want to connect with you!

Join field-ai as a Robotics Platform Security Engineer where you will be at the forefront of safeguarding our innovative robotics platforms. In this pivotal role, you will design and implement robust security measures, conduct threat assessments, and ensure compliance with industry standards. If you are passionate about robotics and cybersecurity, we want to hear from you!

Field AI is at the forefront of revolutionizing robot interactions with the physical world. We are committed to developing risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unleashing the full capabilities of embodied intelligence. Our approach transcends conventional data-driven methods or purely transformer-based architectures, paving a novel path with globally-deployed solutions that yield tangible results and continuously enhance models through real-world applications.About the Job:At Field AI, we are shaping the future of autonomy—spanning rugged terrains to real-world implementations. Our mission is to create intelligent, adaptable robotic systems that excel beyond simulations and thrive in unpredictable environments. As a Robotics Autonomy Engineer – Locomotion, you will spearhead the design and deployment of cutting-edge reinforcement learning-based controllers for legged and humanoid robots. Join our highly technical team dedicated to advancing real-world robotic capabilities through innovative research, simulation tools, and field validation. If the challenge of designing locomotion systems that can adeptly navigate complex, dynamic environments excites you, and you aspire to see your code make a tangible impact—this is the role for you. Welcome to Field AI.

Field AI is at the forefront of revolutionizing robot interactions with the real world. Our mission is to create risk-aware, reliable, and field-ready AI systems that tackle the most intricate challenges in robotics, revealing the immense potential of embodied intelligence. We are pioneering a new direction beyond conventional data-driven methods and transformer-based architectures, and our globally deployed solutions are already yielding tangible results and enhancing models through real-world applications.Are you an enthusiast of robotics and software engineering? Do you excel in designing robust algorithms and deploying advanced autonomous systems in practical environments? We invite you to join our vibrant team as a Robotics Autonomy Engineer specializing in Simulation. In this exciting role, you will develop, implement, and maintain cutting-edge autonomy software stacks, ensuring our robots can navigate and perform operations seamlessly in challenging settings. This is your opportunity to influence the future of robotics while collaborating with a team that prioritizes innovation, hands-on expertise, and impactful outcomes. If you're a software-savvy robotics aficionado eager to embrace thrilling challenges and create meaningful change, we want to hear from you!

Field AI is at the forefront of revolutionizing robot interactions with the physical world. Our mission is to develop risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unleashing the full potential of embodied intelligence. Unlike traditional data-driven methods or solely transformer-based designs, we are pioneering a novel direction, featuring globally deployed solutions that yield tangible results and continuously enhance models through practical field applications.

Field AI is at the forefront of revolutionizing robot interactions with the real world. We specialize in creating risk-aware, reliable, and field-ready AI systems designed to tackle the most intricate challenges in robotics, thereby unlocking the vast potential of embodied intelligence. Our approach transcends conventional data-driven methods and pure transformer architectures, as we carve out a new path with solutions already deployed globally, yielding tangible results while continuously enhancing models through real-world applications.Are you a robotics and software engineering aficionado? Do you excel in crafting robust algorithms and deploying state-of-the-art autonomous systems in real-world environments? Field AI is seeking a Robotics Autonomy Engineer to become an integral part of our innovative team. In this pivotal role, you will be responsible for developing, implementing, and maintaining cutting-edge autonomy software stacks, ensuring our robots can navigate and execute tasks seamlessly even in challenging settings. This is your opportunity to shape the future of robotics while collaborating with a team that prizes innovation, hands-on expertise, and results-driven outcomes. If you’re a software-savvy robotics enthusiast ready to embrace exciting challenges and make a real impact, this role is perfect for you!

Field AI is revolutionizing the interaction between robots and the real world. We are developing advanced, risk-aware AI systems designed to tackle intricate challenges in robotics, thereby unlocking the true potential of embodied intelligence. Our approach transcends standard data-driven methods and pure transformer architectures, paving a new path with globally deployed solutions that yield tangible results and continuously enhance models through real-world applications.Hardware Team:The Hardware Team at Field AI innovates perception and computational payloads that empower autonomous robotic systems to operate effectively in complex real-world environments. Our scope encompasses the entire hardware stack, from designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS) to embedded computation (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). We focus on both development (research, design, prototyping, testing) and operational phases (production, testing, QA, debugging). As a rapidly growing team, we are committed to enhancing core capabilities, system reliability, and scalability while establishing operational systems and procedures from the ground up. Electrical Systems Role:As an Electrical Engineer within the Hardware Team at Field AI, your contributions will be pivotal in designing and implementing electrical systems that facilitate power and communication across sensing and computational packages. Your responsibilities will cover power systems, wire harnesses, PCB design, and communications networks, ensuring our systems are electrically robust, safe, and scalable. You will engage in the full lifecycle from electrical CAD through to production and field support, collaborating closely with mechanical, sensor, and compute teams to create tightly integrated solutions ready for deployment in demanding field environments. While your primary focus will be electrical systems, your expertise may also extend across all hardware domains.

Field AI is revolutionizing the interaction between robots and the real world. We are developing risk-aware, dependable AI systems that tackle the most intricate challenges in robotics, thereby unleashing the immense potential of embodied intelligence. Our approach transcends conventional data-driven techniques and purely transformer-based architectures, forging a novel path with globally-deployed solutions that yield tangible results and enhance models through practical applications in the field.Hardware Team: The Hardware Team at Field AI is engaged in crafting perception and computational payloads that empower autonomous robotics systems to thrive in demanding real-world conditions. Our efforts encompass the entire hardware stack, including designing and integrating sensing systems (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We focus on both development (research, design, prototyping, testing) and operational aspects (production, testing, QA, debugging). As a small, agile team, we are committed to enhancing: 1) core capabilities, 2) system reliability, and 3) system scalability. We are also in the process of establishing operational systems and procedures from the ground up.Mechanical Systems Role: As a Mechanical Engineer within the Hardware Team at Field AI, your contributions will revolve around the design and implementation of mechanical systems that shelter and support sensing and computational platforms in real-world settings. Your responsibilities will encompass a wide array of tasks, from creating ruggedized enclosures to managing thermal performance and ensuring manufacturability, all crucial for guaranteeing system reliability in the field. You will engage in the complete lifecycle of projects, from CAD design to production and field support. Collaboration with electrical, computational, and systems engineers will be vital to develop seamlessly integrated solutions tailored for deployment in challenging environments. While your primary focus will be on mechanical systems, you may also lend your expertise across various hardware domains.

About UsField AI is revolutionizing the way robots perceive and interact with their environments. Our mission focuses on developing risk-aware, robust, and field-ready AI systems that tackle the most intricate challenges in robotics. By pioneering new methodologies that transcend conventional data-driven strategies and solely transformer-based systems, we are already deploying solutions on a global scale, yielding tangible results and continuously refining our models through real-world applications.Hardware Team:The Hardware Team at Field AI is dedicated to creating perception and computational payloads that empower autonomous robotic systems in intricate real-world settings. Our expertise encompasses the entire hardware spectrum, including the design and integration of sensing technologies (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We prioritize both development (research, design, prototyping, testing) and operations (production, testing, quality assurance, debugging). As a dynamic, agile team, we are committed to enhancing: 1) core capabilities, 2) system reliability, and 3) scalability. We are also in the process of establishing operational systems and procedures from the ground up.Production Engineer Role:In the capacity of a Production Engineer, you will be responsible for overseeing the complete processes necessary for scaling the production of Field AI’s perception and computational payloads. This includes defining, optimizing, and refining production workflows; collaborating with contract manufacturers; implementing quality assurance and certification protocols; and aiding in the recruitment and development of a growing team of technicians.This position operates at the convergence of manufacturing engineering, systems integration, supply chain management, cost analysis, and operational strategy. You will play a vital role in ensuring that Field AI can scale production reliably and economically while upholding top-tier hardware quality.

About Field AIField AI is revolutionizing the interaction between robots and the real world. We are at the forefront of developing risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, thereby unlocking the immense potential of embodied intelligence. Our approach transcends conventional data-driven methods and pure transformer architectures, positioning us to deliver globally deployed solutions that yield tangible results and evolve rapidly through real-world applications.Hardware TeamThe Hardware Team at Field AI specializes in crafting perception and computational payloads that empower autonomous robotic systems in complex real-world settings. Our endeavors encompass the entire hardware stack, which includes the design and integration of sensing systems (such as LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). We emphasize both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). As a nimble and dynamic team, we are committed to continuously enhancing our core capabilities, system reliability, and scalability while establishing robust operational systems and processes from the ground up.UGV Systems Engineer RoleThe UGV Systems Engineer will focus on integrating comprehensive autonomy hardware (including sensors, computers, and electromechanical systems) with wheeled Unmanned Ground Vehicles. This role involves coordinating a multidisciplinary team of electrical, mechanical, and software engineers while collaborating closely with autonomy teams to ensure seamless integration and performance.

Field AI is at the forefront of revolutionizing robotic interactions with the real world. We are dedicated to developing AI systems that are risk-aware, reliable, and ready for field deployment, tackling complex challenges in robotics to unlock the full potential of embodied intelligence. Our innovative approach transcends traditional data-driven methods and pure transformer architectures, leading to globally deployed solutions that yield real-world results and enhance models through practical applications.Hardware Team:The Hardware Team at Field AI focuses on creating perception and computational payloads that empower autonomous robotic systems in intricate real-world settings. Our expertise encompasses the entire hardware stack, including the design and integration of sensing systems (such as LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). Our team is committed to both development (research, design, prototyping, testing) and operations (production, testing, quality assurance, debugging). As a nimble and dynamic team, we are passionate about enhancing: 1) core capabilities, 2) system reliability, and 3) system scalability. Additionally, we are establishing operational systems and procedures from the ground up. Sensor Systems Role:As a Sensor Systems Engineer on the Hardware Team, you will play a crucial role in the design, integration, calibration, and validation of the sensor systems that serve as the backbone of our autonomy stack. You will engage with a wide variety of sensors—including LiDAR, depth cameras, IMUs, and GPS—ensuring each sensor provides precise, time-synchronized, and spatially consistent data across diverse environments and operating conditions. Collaboration will be key, as you will work closely with autonomy, computing, electrical, and mechanical teams to create robust, integrated solutions poised for deployment in challenging field conditions. While your primary focus will be on sensors, your contributions may extend across all hardware domains.

Field AI is revolutionizing the way robots engage with their environments. We are developing risk-aware, dependable, and field-ready AI systems to tackle the most intricate challenges in robotics, unleashing the complete potential of embodied intelligence. Our approach transcends conventional data-driven methods and purely transformer-based architectures, charting a pioneering path with globally deployed solutions that yield tangible results and swiftly enhance models through real-world applications.Hardware Team:The Hardware Team at Field AI designs and develops perception and computational payloads that empower autonomous robotic systems in complex real-world settings. Our responsibilities encompass the entire hardware stack, including the design and integration of sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We prioritize both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). As a dynamic, small team, our core values focus on enhancing: 1) foundational capabilities, 2) system reliability, and 3) system scalability. Being a growing unit, we are also establishing operational systems and procedures from the ground up. Embedded Compute Role:As an Embedded Compute Engineer within the Hardware Team at Field AI, you will play a crucial role in architecting, configuring, and validating the computing systems that form the backbone of our robotic platforms. Your responsibilities will encompass low-level firmware development, Linux-based configurations, and performance analysis across ARM and x86 single-board computer platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire computing stack is optimized, reliable, and robust under field conditions. You will work closely with sensor, electrical, and autonomy teams to create tightly integrated solutions primed for deployment in demanding field environments. Although your primary focus will be on computing systems, you will also likely contribute across all hardware domains.

Join our innovative team at field-ai as a Robotics Autonomy Engineer specializing in Planning and Control. In this role, you will be at the forefront of developing cutting-edge solutions that enhance robotic autonomy and efficiency. You will collaborate closely with multidisciplinary teams to design, implement, and optimize algorithms that drive autonomous systems.Your expertise will contribute to exciting projects that include state-of-the-art robotics applications across various industries. We are looking for passionate individuals eager to push the boundaries of technology and make a meaningful impact.

Join field-ai as a Robotics Application & Product Security Engineer, where you will be at the forefront of securing innovative robotic applications. Your role will involve collaborating with cross-functional teams to identify security vulnerabilities and implement robust defense strategies to protect our cutting-edge technologies.

About UsField AI is at the forefront of revolutionizing robot interactions with the physical world. Our mission is to develop risk-aware, dependable, and field-ready AI systems that tackle complex challenges in robotics, thereby unlocking the vast potential of embodied intelligence. We transcend typical data-centric strategies and conventional transformer-based architectures, pioneering innovative solutions that are already deployed globally, delivering tangible results while continuously enhancing models through real-world applications.Role OverviewAs an Assembly Technician specializing in Perception & Compute Payloads, you will take on a vital role as a hands-on contributor responsible for the assembly, integration, and validation of Field AI’s sensing and compute payloads. Your responsibilities will include constructing electro-mechanical subsystems, integrating sensors and embedded computing platforms, conducting harnessing and power system checks, supporting functional testing, and ensuring that every payload is fully operational and reliable for field deployment. This role seamlessly combines mechanical assembly, electrical integration, and practical system-level debugging. You will play a crucial part in both prototype development and production processes, collaborating closely with engineers to refine build methodologies and enhance system reliability.

Field AI is revolutionizing the interaction of robots with the physical world. We are developing advanced AI systems that are both risk-aware and reliable, designed specifically for real-world applications. Our solutions tackle the most intricate challenges in the field of robotics, harnessing the vast potential of embodied intelligence. Our innovative approach transcends standard data-driven methodologies and purely transformer-based models, leading us to establish a unique path in AI deployment. With solutions already in use around the globe, we are continuously enhancing our models via real-world applications.We are seeking a Software Engineer, Product to spearhead the development and management of customer-centric products at the convergence of embodied AI, robotics, and real-time data. In this role, you will collaborate closely with our AI, robotics, product, and commercial teams to transform complex data gathered from construction sites into intuitive, impactful software utilized globally on active job sites.This is a hands-on position ideal for engineers who thrive on delivering tangible products, engaging directly with customers, and witnessing their innovations in action beyond laboratory settings.