As a DevOps Infrastructure Engineer, you will manage cloud and on-prem infrastructure, develop CI/CD pipelines, optimize for real-time applications, and enforce security protocols.

The Robotics Autonomy Engineer will design and deploy motion planning and control algorithms for robots, focusing on navigation and trajectory generation in unpredictable environments.

Design and implement 3D machine learning models, process reality capture data, and integrate AI solutions in production environments for robotics applications.

The HR Manager/Director is responsible for optimizing employee experiences, compliance, onboarding, payroll, and benefits administration at Field AI. You'll support a rapid-growth environment, ensure legal compliance, and manage employee records while collaborating with leadership on retention strategies.

The Recruiting Coordinator will manage interview scheduling, enhance candidate experience, support recruiting operations, and collaborate with hiring teams to improve recruitment processes.

Design and manage scalable ML infrastructures, develop cloud-based pipelines for multimodal datasets, and mentor junior engineers while overseeing ML operations.

As a Sr. Software Engineer (Backend), you will develop and optimize backend systems for robotics applications, focusing on performance and sensor integration.

As an AI/ML Engineer, you will develop multimodal models focusing on computer vision, video understanding, and agentic AI. Responsibilities include fine-tuning models, curating datasets, and building evaluation pipelines for efficient deployment.

The Robotics Software Integration and Release Engineer will manage software releases, maintain build pipelines, and ensure repository health while collaborating across teams to enhance delivery processes.

As a Forward Deployed Engineer, you'll deploy and integrate autonomous systems, ensuring performance in the field and improving reliability through customer feedback and collaboration.

Design and implement state estimation and localization algorithms for legged robots, integrating various sensors and optimizing for real-world performance.

This role involves defining brand strategy, driving demand generation, leading marketing campaigns, and building a marketing team to support B2B sales in robotics.

Design and deploy scalable, interpretable world models and decision-making systems for robots, ensuring real-time performance and safety in dynamic environments.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

As an Embedded Compute Engineer, design, integrate, and optimize computing systems for robotics, focusing on performance, reliability, and scalability in field environments.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

The Senior Manager of Financial Planning & Analysis will lead budgeting and forecasting processes, build financial models, and report insights to executive teams while collaborating cross-functionally to align financial strategies.

The role involves building and maintaining simulation infrastructure for robotics, integrating simulations into CI/CD, developing dynamic models, and managing synthetic data generation for machine learning applications.

Responsible for designing, building, and maintaining foundational systems and services, focusing on infrastructure components, automation, and performance monitoring.

Develop and optimize mission autonomy frameworks for robotic systems, including design, testing, and integration of AI-driven decision-making solutions.