Senior Software Systems Engineer, Autonomous Driving

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $184,000–$287,500 / yr
Posted: 13 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $236k

$154k most similar roles pay here $302k

This role pays more than 72% of similar roles. Most pay $169,050–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Systems Engineer, Autonomous Driving

Role Posting Log in to save

Senior Software Systems Engineer, L3 and L4 - Autonomous Driving joins the team to develop use cases and system requirements for autonomous driving products based on customer needs, traffic regulations, and certification standards. The role involves performing system-level analysis to define performance budgets across subsystems, formulating test cases, and defining critical metrics to ensure compliance with functional and safety requirements. You will drive online and offline test strategies at vehicle and component levels while collaborating with data analytics and test engineering teams. Key responsibilities include managing requirements decomposition, traceability, and verification processes. The position requires expertise in SOTIF analysis, ISO 26262 functional safety, and multi-functional architectural trade-off analysis. Candidates should possess strong software development skills, including proficiency in Python, SQL, and C++, to address the complexities of end-to-end deep learning and modular perception stacks.

Skills

Systems Engineering ISO 26262 ISO 21448 SOTIF Python C++ SQL Data Analytics Deep Learning Software Architecture Verification Validation

What you'll do

Develop use cases and system requirements for L3 and L4 autonomous driving products based on regulations and standards.
Perform system-level analysis to define performance requirements and allocate 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 at both vehicle and component levels.
Verify that datasets cover sufficient scenarios and requirements through appropriate sampling strategies.
Drive innovation in requirements decomposition, traceability, and verification processes.
Promote and cultivate a strong systems engineering approach across the organization.

What we're looking for

MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
8+ years of 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) and functional safety (ISO 26262).
Experience in multi-functional architectural trade-off analysis.
Proven understanding of trade-offs between End-to-End deep learning approaches and classical modular perception/planning stacks.
Strong leadership and interpersonal skills to drive alignment across large organizations.
Proficiency in Python, SQL, and C++.

Save