Senior Software Systems Engineer, L3 and L4 - Autonomous Driving

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

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 Compliance Data Analysis @ 7 Data Science @ 4 Deep Learning @ 4 GPU Leadership @ 7 Python @ 7 SQL @ 7 Software Development @ 7

Details

NVIDIA is using AI and GPU computing to advance autonomous vehicles and other intelligent systems. The Autonomous Driving team is seeking a software systems engineer to help develop and validate L3 and L4 autonomous driving products.

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 strategies and execution at vehicle and component levels.
Partner with Data Analytics, Test Engineering, and System Integration & Test teams to develop evaluators and important metrics.
Verify that datasets cover sufficient scenarios and requirements, and target appropriate sampling strategies through data collection and real-world driving.
Establish strong cross-functional relationships with 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 of experience in safety-critical systems engineering, system analysis, data analysis, and software architecture.
Strong software development background with proven coding skills.
Hands-on experience with SOTIF analysis under ISO 21448, functional safety under ISO 26262, and multifunctional architectural trade-off analysis.
Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
Understanding of trade-offs between end-to-end deep learning approaches, classical modular perception and planning stacks, and associated validation and test strategies.

Preferred Qualifications

Experience contributing to a launched L3 or L4 autonomous vehicle program.
Experience in AI safety and safety validation for machine-learning-based systems.
Hands-on experience with large-scale datasets, data science, and analytics workflows.
Strong software engineering experience with Python, SQL, and C++.

Compensation and Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.