Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Algorithms
Machine Learning @ 4
Mathematics @ 4
Reinforcement Learning @ 4
Robotics
Software Development @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Software Engineer to join the Parking, Autonomous Vehicles team. The team builds automotive and robotics technology supporting parking and driving activities for autonomous vehicles and driver-assistance features. This role requires strong curiosity and analytical rigor when solving difficult problems.
Responsibilities
- Design planning algorithms for navigation in unstructured and semi-structured environments.
- Implement planning algorithms in C++ to support parking and driving features.
- Write documentation and tests for automotive software.
- Develop simulation scenarios to assist in the development of new features.
- Support deployment of code on test vehicles and assist with testing.
Requirements
- Experience in mathematics, control, optimization, machine learning, reinforcement learning, or an equivalent field.
- PhD with 4+ years, MS with 6+ years, or BS or equivalent experience with 8+ years of relevant experience in computer science, computer engineering, or a related technical field.
- Experience using C++ for software development.
Preferred Qualifications
- Experience with machine-learning planning approaches.
- Previous experience with parking-assist features.
- Previous experience leading small teams or projects.
Benefits
- Equity and benefits are provided.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
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