Senior Software Engineer, World Model Systems Engineering - Autonomous Vehicles

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 Compliance Computer Vision @ 4 Data Analysis @ 7 Data Science @ 4 LLM Leadership @ 7 Machine Learning @ 4 Python @ 6 SQL @ 6

Details

NVIDIA is expanding its autonomous vehicle solution and is seeking a creative and expert Systems Engineer to help productize advanced perception solutions for self-driving cars. You will work with a worldwide team of systems engineers, AI applied researchers, and software engineers to build perception, mapping, and localization solutions while meeting NVIDIA and automotive standards and guidelines.

Responsibilities

Develop perception, mapping, and localization system requirements from use cases and customer requirements.
Perform analysis to define performance requirements and allocate performance budgets.
Plan validation and formulate test cases and critical metrics to ensure compliance with requirements.
Test performance and triage results.
Perform detailed analysis and develop dashboards.
Work closely with hardware engineering, safety, development, and product teams to ensure the right product is built.
Identify innovative solutions to continuously improve processes.
Establish relationships with relevant partners across the organization.

Requirements

Master's degree or PhD in Engineering, Physics, Computer Science, Data Science, or a related field, or equivalent experience.
8+ years of systems engineering experience on complex systems, including systems analysis, error budget creation, scenario modeling, data analysis, and statistical analysis.
Experience with verification and validation of world model stacks.
Experience with VLMs, LLMs, and agentic workflows for automated triage.
Experience defining data strategies.
Understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition.
Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations.
Proficiency with SQL and Python or C++.

Preferred Qualifications

Experience with autonomous vehicles, machine learning, or computer vision.
Experience working with large datasets, data science, and analytics.
Software engineering experience.

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. Salary is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to an inclusive work environment.