Senior/Staff Machine Learning Engineer, Sensor Simulation

About the role

Who We Are

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.).

About the Work

- Research, develop, and implement state-of-the-art synthetic sensor simulation methods

- Analyze and characterize the realism and utility of synthetic sensor data

- Answer critical questions about sensor data and autonomy performance

- Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements

- Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM.

About You

- One of

- PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience

- Masters and 4+ years of industry experience

- 5+ years of industry experience

- Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models

- Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax

Bonus Points

- Deep understanding of 3D geometry and state estimation fundamentals

- Proficiency in systems coding

- Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling

- Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models.