Robotics Autonomy Engineer: Simulation
$70k - $300kFieldAI
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! What You'll Get To Do- 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.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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