> Markdown version of [/jobs/ext/4102963-senior-staff-machine-learning-engineer-sensor-simulation](https://www.wearedevelopers.com/jobs/ext/4102963-senior-staff-machine-learning-engineer-sensor-simulation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior/Staff Machine Learning Engineer, Sensor Simulation - **Company:** Nuro Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $193,930.0 - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, NeRF (Neural Radiance Fields), Tensorflow, Pytorch, Deep Learning, Generative AI, Gaussian, Information Technology, Machine Learning Operations, Lidar - **Published:** October 21, 2026 - **Apply:** https://www.thejobnetwork.com/job/4b2b4ed0-a95f-4d95-8203-50483e3f5dd4/seniorstaff-machine-learning-engineer-sensor-simulation ## About the Role * 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. * Experience in building ML pipelines and optimizing/productizing ML models * Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) ## Description 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.