Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models

About Field AIAt Field AI, we are pioneering the field of robotic embodied artificial intelligence, revolutionizing sectors such as construction, security, mining, and manufacturing. Our autonomous robots operate worldwide, often in challenging environments, providing critical insights to our clients. Whether it’s monitoring construction progress, ensuring s…

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.

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 at the cutting edge of revolutionizing the interaction between robots and the physical world. Our mission is to develop AI systems that are not only reliable and field-ready but also capable of addressing the multifaceted challenges present in robotics. We surpass conventional data-driven methodologies and transformer-based models, paving the way for innovative solutions that are already deployed worldwide, yielding tangible outcomes and continuously refining their capabilities through real-world applications.About the OpportunityAs a Forward Deployed Engineer at Field AI, you will play a pivotal role in actualizing our autonomous systems within real environments. You will take full ownership of deployment, integration, and the ongoing performance of our solutions in the field. This position blends engineering expertise with problem-solving skills, providing an opportunity to collaborate closely with clients and internal teams to ensure seamless operations. You will swiftly integrate field feedback to enhance system reliability and performance, driving adoption from day one, making our solutions integral to mission success. If you excel in dynamic, high-impact settings and aspire to see your contributions directly influencing the future of autonomy, this is your chance to make a significant impact.

Join field-ai as a Federal Project Manager, where you will play a pivotal role in overseeing federal projects that drive innovation and efficiency. In this exciting position, you will collaborate with cross-functional teams to ensure project objectives are met while adhering to federal regulations and guidelines.

Field AI is revolutionizing the way robots engage with the physical world. Our focus is on developing risk-aware, dependable, and field-ready AI systems that tackle the most challenging issues in robotics, thereby realizing the full potential of embodied intelligence. We transcend conventional data-driven methodologies and purely transformer-based frameworks, forging a unique path with globally deployed solutions that yield tangible results and rapidly enhance models through real-world applications.We are in search of a talented and enthusiastic DevOps Engineer to become a vital member of our engineering team. In this pivotal role, you will be responsible for designing, constructing, and maintaining the infrastructure and automation that drive our development and deployment processes. You will collaborate closely with robotics, machine learning, and software engineers to ensure the reliability of CI/CD pipelines, scalability of infrastructure, and efficiency of development operations. This is a thrilling opportunity to contribute to building robust systems that support complex robotics and AI tasks in a dynamic environment.

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 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.

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!

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 interaction between robots and the physical world. Our mission is to create AI systems that are risk-aware, dependable, and ready for real-world applications, tackling the intricate challenges of robotics to unlock the true potential of embodied intelligence. By moving beyond standard data-driven methods and purely transformer-based models, we are pioneering innovative solutions that are already deployed globally, yielding tangible results and continually refining our models through actual field applications.We are on the lookout for a talented and driven MLOps Engineer to bolster our engineering team. In this pivotal role, you will be responsible for designing and maintaining the infrastructure and tools essential for the comprehensive lifecycle of machine learning systems utilized in robotics. Collaborating closely with machine learning engineers, robotics experts, and infrastructure teams, you will ensure the reliable training, evaluation, deployment, and monitoring of ML models. This position presents a thrilling opportunity to operationalize machine learning within dynamic and rapidly evolving robotic systems.

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.

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.

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.

Join field-ai as a DevOps Software Engineer to enhance our innovative web platform. We are looking for a tech-savvy individual who is passionate about building scalable and efficient systems. In this role, you will collaborate with cross-functional teams to design, implement, and maintain our web infrastructure.Your contributions will directly impact our ability to deliver high-quality software solutions to our clients. If you thrive in a fast-paced environment and enjoy tackling complex challenges, we want to hear from you!

Field AI is at the forefront of revolutionizing robot interactions with the physical world. We are dedicated to developing advanced AI systems that are not only risk-aware and reliable but also field-ready, tackling the most intricate challenges in robotics. Our pioneering approaches go beyond conventional data-driven methods and transformer-based architectures, leading to globally deployed solutions that yield tangible results and continuously enhance our models through real-world applications.We invite enthusiastic innovators to join us in shaping the future of embodied AI in dynamic, unstructured environments. As a Telepresence & Networking Engineer, you will engage in investigating and solving real-world robotics challenges, primarily focusing on autonomous inspection, mobile manipulation, and enhancing human-robot interaction. Your responsibilities will include algorithm development, real-world robot testing, and sharing your findings through publications at leading robotics and AI conferences.

We are seeking a highly skilled and experienced Principal Product Applications Engineer to join our innovative team at dstaff in Irvine, California. In this pivotal role, you will leverage your technical expertise to drive the development and implementation of cutting-edge product applications. You will collaborate with cross-functional teams and engage directly with clients to ensure the successful integration of our products into their operations.