Jobs at FieldAI

The Technical Program Manager will oversee hardware program planning, execution, and cross-functional coordination, ensuring alignment and transparency in robotics projects.

As a Senior Machine Learning Platform Engineer, you will manage ML infrastructure, optimize pipelines, mentor junior engineers, and ensure observability and compliance in production environments.

As a Forward Deployed Engineer, you'll manage deployment and integration of AI systems, ensuring performance and reliability in customer environments while collaborating with teams to drive improvements.

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

As Director of Matrix Operations, you will design and refine a matrix-based organization, ensuring clarity in roles and staffing while coordinating with leadership to mitigate risks and enhance operational efficiency.

The Robotics Autonomy Engineer will develop and implement autonomy software, integrate systems, conduct field testing, and collaborate across teams for performance enhancement in robotic solutions.

The Senior Robot Perception Engineer will develop and maintain perception systems for robots, integrating various sensors, improving robustness, and deploying software in real-world environments.

Design, implement, and deploy motion planning and control algorithms for robots. Validate algorithms and improve performance in real-world deployments. Collaborate across teams.

Manage schedules and communications for C-level executives, coordinate travel and meetings, and handle confidential information with discretion.

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

The Senior Executive Assistant will support C-level leadership by managing their schedules, coordinating travel, handling communications, and ensuring operational efficiency across various undertakings.

Design, build, and maintain CI/CD, build systems, monitoring, and deployment frameworks; automate infrastructure provisioning; ensure reliability, observability, security, and high availability; collaborate with developers and DevOps to optimize systems and troubleshoot production issues.

Design and implement decision-making frameworks and LLM APIs for robotic autonomy, build semantic scene graph world models, and expand testing and validation with unit and integration tests to ensure safe, reliable autonomous systems.

Lead full-cycle technical recruiting for robotics and AI roles: partner with hiring leaders on talent strategy, design scalable hiring processes, source passive candidates, manage high-volume pipelines, track KPIs, and elevate candidate experience and employer brand for field-deployment technical talent.

The Embedded Systems Engineer designs and integrates embedded computing systems for robotic platforms, collaborating with teams and ensuring performance in field conditions.

As the Lead Functional Safety Engineer, you will design and implement safety systems for autonomous robotic platforms, oversee hardware integration, and validate safety protocols while leading a safety-focused engineering team.

The Recruiting Operations Coordinator manages interview logistics, candidate experience, ATS data, and supports the recruiting process in a dynamic startup environment.

The Forward Deployed Engineer will manage deployment, integration, and operational performance of autonomous robotic systems, collaborating with teams and ensuring mission-critical functionalities.

Develop and optimize large-scale point-cloud processing pipelines (registration, denoising, segmentation, primitive extraction); design efficient 3D algorithms focused on memory and runtime; implement production-grade computational geometry and linear algebra in C++ and Python; solve reconstruction challenges (loop closure, global consistency, multi-view fusion); evaluate and integrate emerging 3D vision methods and work with platform teams for scalable deployment.

Lead the design, implementation, and deployment of control systems for autonomous vehicles, focusing on multi-agent collaboration and real-world applications.