Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Linux @ 7
Communication @ 4
Mathematics @ 7
Debugging @ 4
AI @ 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
Our Autonomous Vehicles Platform Team is searching for a hands-on software engineer to design ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars! You will build replay tools and collaborate with hardworking and dedicated multi-functional teams to help validate & verify our AV software stack before it hits the road.
Responsibilities
- Collaborate across platform software, infrastructure, and ADAS algorithm teams to translate requirements into replay framework architecture and design.
- Drive technical solutions for new concepts related to replay framework and infrastructure.
- Design, document and optimize software architectures and frameworks for real-world performance while matching or exceeding customer requirements.
- Engage in exciting, fun and challenging work involving a plethora of unsolved problems.
Requirements
- BS/MS in Computer Science, Electrical Engineering, or related engineering field (or equivalent experience).
- 12+ years of relevant experience working in software engineering and replay/simulation.
- Excellent C and C++ programming skills.
- Experience designing, developing, and debugging complex systems.
- Strong understanding of QNX, Linux and real-time operating systems.
- Solid understanding of replay/simulation concepts and strong foundation in mathematics.
- Experience working on a large scale replay/simulation system (open and closed loop) for an AV stack.
- Ability to self-manage and adapt in a dynamic environment.
- Possess excellent written and verbal communication skills.
Ways to Stand Out
- Knowledge of automotive systems, notably ADAS applications and preferably autonomous driving systems.
- Embedded system, SW/HW cross-domain knowledge.
- Hands-on and work well within a team of system, software and infrastructure engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
- Excellent communication, presentation, social, and analytical skills; the ability to communicate complex interaction concepts clearly and persuasively across different audiences and varying levels of the organization.
Compensation and Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Additional Information
Applications for this job will be accepted at least until June 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.