Motion Planning Engineer, System Optimization
2 weeks ago
Aurora Innovation is on the lookout for exceptional individuals from various backgrounds who are eager to contribute to a transformative transportation ecosystem aimed at enhancing road safety, ensuring timely delivery of essential goods, and making mobility more efficient and accessible for everyone. We are currently seeking a Software Engineer specializing in Motion Planning to bolster our Behavior Planning Team.
Key Responsibilities:
- Develop algorithms that operate in real-time to determine safe and comfortable paths for autonomous vehicles.
- Create metric frameworks and testing processes to facilitate rapid development and refinement of algorithms.
- Design and implement high-performance, production-ready software for the Aurora Driver.
- Offer technical guidance on the architectural components of both online and offline systems for assessing optimal trajectories.
Essential Qualifications:
- Bachelor's, Master's, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science, or a related discipline.
- A minimum of 4 years of robust programming and software design experience in C++.
- Experience with low-latency, real-time systems or robotics applications.
- Proficiency in optimizing workloads on GPUs and familiarity with nVidia profiling tools (Nsight systems and Nsight compute).
- Excellent communication abilities.
- Capability to effectively navigate and work within extensive codebases.
Preferred Qualifications:
- Experience in optimizing workloads on x86/64 CPUs and familiarity with profiling tools (ftrace, perf, etc.).
- Experience in developing large-scale distributed model training and systems across multiple GPUs.
- Experience in optimization techniques for ARM CPUs.
The base salary range for this position is between $168,000 and $252,000 annually. Aurora's compensation ranges are established based on role, level, and geographical location. Within this range, the starting base salary for the successful candidate will be influenced by various factors, including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be subject to change in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and a comprehensive benefits package.
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