Senior Software Engineer - Autonomous Vehicles
NVIDIASenior Software Engineer - Autonomous Vehicles
NVIDIALocation
Santa Clara, CA
Type
Full-time
Posted
11/6/2026
Compensation
$152,000 - $287,500 per year
Job description
This software engineering role focuses on developing core online mapping software for self-driving cars. The team is responsible for transforming raw sensor data into a live 3D model that includes essential driving information. The engineer will work closely with algorithm developers to implement and optimize algorithms while ensuring the software meets automotive safety standards. The position requires a strong emphasis on code quality, performance, and maintainability.
Requirements
- BS or MS in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 5+ years of validated experience building robust, production-quality software.
- 3+ years of professional C++ development experience, including modern C++ and a strong grasp of memory management, concurrency, and performance.
- Experience designing software architecture and APIs for large, long-lived codebases.
- A quality-first mentality with comfort in static analysis, unit testing, and high-coverage test strategies.
- Solid understanding of algorithms and data structures, and the ability to work with algorithm developers.
- Strong communication and analytical skills, with the ability to work optimally across multiple teams.
- Autonomous and responsible, demonstrating outstanding teamwork while enjoying solving hard problems.
Responsibilities
- Build and own core online mapping software operating in the car, from architecture through implementation to deployment.
- Write production C++ for real-time embedded systems, focusing on correctness, determinism, and maintainability.
- Build software architecture and frameworks that promote code reuse, clean interfaces, and long-term maintainability across vehicle programs.
- Improve performance of C++ and CUDA code running on NVIDIA DRIVE Orin and Thor, employing profilers to detect and address bottlenecks.
- Use GPU parallelism (CUDA) to make compute-heavy mapping components fast and efficient.
- Implement and incorporate algorithmic solutions from the mapping team into the core of NVIDIA’s AV stack.
- Develop according to automotive safety standards (ASIL-B/D) and employ thorough static analysis.
- Handle real-time system signals from vehicles operating around the world, ensuring robustness to varied conditions.
- Collaborate with perception, localization, planning, and infrastructure groups to incorporate online mapping into the complete AV stack.
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
H-1B filing history
Public USCIS petition and DOL LCA counts · latest USCIS FY2026, LCA FY2026
Filing entity: Nvidia Corporation
As of Aug 23, 2026
Initial approvals
355
FY2026
Approval rate
99.2%
FY2026
LCA certified
7,667
FY2026
Entry-level share
11.9%
FY2026
Initial approvals YoY
-37%
Trend
LCA certified YoY
-83%
Trend
Initial approvals by fiscal year
Approval rate by fiscal year
Continuing vs initial approvals
LCA certified positions by quarter
LCA certified positions by fiscal year
Based on public USCIS and DOL filings; not a sponsorship guarantee.
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