Jobs at FieldAI

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

As a Mechanical Engineer, you will design, implement, and validate mechanical systems for robotic platforms, ensuring reliability in real-world environments. Responsibilities include CAD modeling, thermal management, materials selection, and collaboration with cross-functional teams.

Develop and maintain robotic user workflows, integrating sensors and designing autonomous systems for real-world applications, ensuring high performance and reliability.

The Sensor Systems Engineer designs, integrates, and validates sensors for robotic platforms, ensuring accurate data collection in various environments. Responsibilities include system architecture, calibration, performance evaluation, and collaboration across teams.

Design, prototype, and deploy agentic AI solutions and AI Ops infrastructure (orchestration, memory, tooling, observability). Build RAG/retrieval systems, evaluation and testing pipelines, and agent-native workflows to automate engineering and customer-facing tasks. Collaborate with engineering, product, and field teams to scale reliable, field-ready AI for robotics deployments.

Prototype, evaluate, and ship agentic solutions and AI Ops infrastructure. Build agentic workflows (tool use, memory, orchestration), RAG pipelines with vector DBs and knowledge graphs, and evaluation/observability pipelines to measure agent quality and reliability for internal and customer-facing use.

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

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

The Robot Autonomy Engineer at Field AI supports deployment, integration, and performance of autonomous robotic systems, collaborating with customers and teams to enhance reliability and drive adoption.

Lead large-scale, customer-focused robotics and autonomy programs. Drive cross-functional execution and manage project risks and communications to ensure successful outcomes.

The Robotics Autonomy Engineer designs and implements motion planning and control algorithms for robotic systems, ensuring precise navigation and integration across autonomy layers, while analyzing performance and improving field deployment.

The MLOps Engineer will design and maintain infrastructure for machine learning systems in robotics, focusing on deployment, monitoring, and optimization of ML workflows.

As a DevOps Engineer, you will improve CI/CD pipelines, manage containerized infrastructure, ensure deployment reliability, and troubleshoot production issues.

The role involves building detailed 3D environments for robotics and construction, ensuring high standards for model quality and performance, while refining workflows and collaborating with cross-functional teams.

The Software Engineer focuses on building and maintaining development environments and tooling infrastructure to support engineering teams, improving developer velocity and code quality across projects.

PhD-level research internship developing RL-based locomotion and learned planning for legged robots. Design and evaluate sim-to-real training pipelines, build GPU-accelerated simulations, test on real hardware, and translate research into deployable systems while collaborating across perception, systems, and embedded teams.

Design and build distributed ML infrastructures to optimize data processing, model training, and evaluation among teams.

The Robotics System Engineer will define and translate system requirements for AI-driven robotics, ensuring integration and validation of operational systems across diverse environments.

Develop and test humanoid manipulation strategies, collaborate on robotics projects, and ensure successful deployment of robotic systems, utilizing software development skills in C++ and Python.

The Robotics Demo Specialist engages visitors through live demonstrations of autonomous robots, conveying complex ideas effectively while providing an exciting experience.