Senior Software Systems Engineer, L3 and L4 - Autonomous Driving
at Nvidia
USD 184,000-356,500 per year
Used Tools & Technologies
Machine LearningRequired 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.
Software Development @ 7
Python @ 7
SQL @ 7
Data Science @ 4
Leadership @ 7
Data Analysis @ 7
Compliance @ 4
Deep Learning @ 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
NVIDIA is tapping into the potential of AI to define the next era of computing — enabling computers, robots, and autonomous vehicles that perceive the world. NVIDIA values innovation, excellence, determination, and teamwork and provides a diverse environment where employees are encouraged to perform at their highest level.
Responsibilities
- Develop use cases and system requirements for L3 and L4 autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines.
- Perform system-level analysis to define performance requirements and allocate performance budgets across subsystems.
- Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements.
- Define and drive online and offline test strategy and execution at both vehicle and component levels.
- Partner closely with Data Analytics, Test Engineering, and System Integration & Test teams to ensure the right evaluators and metrics are developed and that datasets cover sufficient scenarios.
- Target appropriate sampling strategies through Data Collection and Real-World Driving.
- Establish strong multi-functional relationships with collaborators across engineering, safety, validation, and product teams.
- Drive innovation in requirements decomposition, traceability, and verification processes.
- Promote and cultivate a strong systems engineering approach across the organization.
Requirements
- MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
- 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture.
- Strong software development background with proven coding skills.
- Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.
- Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
- Proven understanding of trade-offs between end-to-end deep learning approaches and classical modular perception/planning stacks, and associated validation and test strategies.
Ways to Stand Out
- Experience contributing to a launched L3/L4 autonomous vehicle program.
- Experience in AI safety and safety validation for ML-based systems.
- Hands-on experience with large-scale datasets, data science, and analytics workflows.
- Strong software engineering experience with proficiency in Python, SQL, and C++.
Compensation & Benefits
- Base salary ranges stated by level:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits (link provided in the posting).
Other Information
- Applications for this job will be accepted at least until March 5, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.