Robotics Autonomy Engineer: Simulation

Field AI is transforming how robots interact with the real world. We are building risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, and are charting a new course, with already‑globally‑deployed solutions delivering real‑world results and rapidly improving models through real‑field applications.

Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting‑edge autonomous systems in real‑world scenarios? We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state‑of‑the‑art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments.

This is your chance to shape the future of robotics and work alongside a team that values innovation, hands‑on expertise, and impact‑driven results. If you’re a software‑savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!

• Develop and integrate autonomy stacks (perception, planning, control) across simulation and real‑world deployments.
• Build real‑to‑sim pipelines
  using 3D reconstruction (NeRF, Gaussian Splatting, photogrammetry)for realistic sensor and environment modeling.
• Deploy high‑fidelity simulation workflows (
  Isaac Sim, Gazebo, ROS2
  ) to validate autonomy algorithms.
• Collaborate with hardware teams to bring robots from lab to field – from system modeling to real‑world testing.

• Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, or related field.
• 2+ years of experience in robotics software development.
• Strong skills in Python, C++, and familiarity with ROS2
  .
• Hands‑on experience in robotics simulation
  and field deployment
  .
• Understanding of autonomy modules – localization, perception, planning, and control.
• Experience with 3D reconstruction
  or domain adaptation
  is a plus.

• Experience with GPU programming (CUDA, PyTorch)or machine learning for robotics
  .
• Background in off‑road / outdoor robotics
  or industrial settings.
• Familiarity with safety standards or real‑time middleware.

• Work at the frontier of autonomy – bridging the gap between simulation and reality.
• Build systems that go from digital twin to deployed robots in challenging real‑world environments.
• Collaborate with a world‑class, hands‑on team focused on delivering real autonomy.

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job‑related knowledge, skills, and experience. Also, while we enjoy being together on‑site, we are open to exploring a hybrid or remote option.

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world‑class team that thrives on creativity, resilience, and bold thinking. With a decade‑long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like Deep Mind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self‑Driving, Zoox, Toyota Research Institute, and Space

X, we are set to achieve our ambitious goals.

To tackle such ambitious challenges, we need a team as unique as our vision – innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires…