1 day ago
Base Salary
$194k - $291k/yr
Responsibilities
- Deliver high-quality, real-time vehicle pose estimation software for mobile robots.
- Research, develop, and deploy safe, reliable, fail-operational pose estimation algorithms.
- Analyze and characterize pose estimation accuracy and performance across platforms.
- Build well-tested C/C++ software and deploy and test it on robotic platforms and in simulation.
- Collaborate with autonomy, hardware, and systems teams on sensor selection and architectures for future vehicles.
Requirements
- Master’s or PhD in computer science, electrical engineering, robotics, or a related field.
- At least 3 years of industry experience as a software engineer.
- Deep understanding of state estimation, probabilistic filtering, and 3D geometry.
- Experience developing pose estimation algorithms using sensors such as IMUs, motor resolvers or encoders, GPS, and sensor fusion.
- Strong C/C++ programming skills and experience developing well-tested, safety-critical software.
- Hands-on experience developing sensor fusion or filtering algorithms for autonomous vehicles, drones, or similar applications.
- Experience with embedded systems in C, AV safety standards, redundant or fault-tolerant systems, and Python is preferred.
Benefits
- Eligible for an annual performance bonus, equity, and a competitive benefits package.
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.