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.
AI @ 4
CI/CD
Communication @ 6
Compliance
Debugging @ 7
Docker @ 4
Jenkins @ 4
Python @ 6
Software Development @ 6
- 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
The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market. This role involves developing and productizing innovative solutions for transportation and self-driving cars. You will collaborate with multi-functional engineering teams across various vehicle subsystems to integrate their work into NVIDIA's autonomous driving DRIVE SW platform, ensuring compliance with relevant NVIDIA and automotive standards and guidelines.
Responsibilities
- Lead the development of platform test infrastructure and workflows that define how autonomous platform systems are validated at scale.
- Drive technical alignment with cross-functional teams to integrate test infrastructure with CI/CD workflows.
- Enhance integration efficiency to facilitate development on Tegra-based autonomous vehicle platforms.
Requirements
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 5+ years of systems software development experience.
- Proficiency in C, C++, and Python.
- Strong debugging skills in complex, multiprocessor embedded environments.
- Excellent communication skills and the ability to drive alignment with multiple cross-functional teams.
- Proven expertise in embedded systems and software/hardware cross-domain knowledge.
- Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
- Results-oriented, self-motivated, and proactive.
Preferred Qualifications
- Hands-on experience using AI tools.
- Experience with cloud services, Jenkins, and Docker in continuous integration and deployment systems.
- Knowledge of general-purpose and automotive network systems, including Ethernet and CAN.
Compensation and Benefits
- Base salary range: $152,000–$241,500 for Level 3, or $184,000–$287,500 for Level 4, determined by location, experience, and compensation of employees in similar positions.
- Eligible for equity and benefits.
- Applications will be accepted at least until September 20, 2026.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
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