Senior Integration Engineer, End-to-End Model - Autonomous Vehicles - CA, Santa Clara, United States
$152,000 - $287,500 USD yearly
Originally posted 18 September 2026 by the employer.
Help develop NVIDIA's end-to-end autonomous driving application.
About the role
This role involves integrating, evaluating, and deploying end-to-end driving models across training infrastructure, simulation environments, and production vehicle platforms. The focus is on turning AI models into reliable, high-performance autonomous driving functionality running on NVIDIA’s heterogeneous computing platforms.
What you'll do
- Integrate learned driving models with vehicle interfaces, sensor inputs, localization, mapping, and safety systems.
- Establish clear model input, output, timing, state-management, and runtime interface contracts.
- Optimize model inference and surrounding software to meet latency, throughput, memory, determinism, and power requirements.
- Develop tools and metrics for evaluating driving quality, safety, robustness, and regression performance at scale.
- Perform in-vehicle testing, collect and analyze driving data, and complete autonomous driving missions.
What you'll need
- PhD with 1+ year, MS with 3+ years, or BS with 5+ years of relevant experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related field.
- Strong C++ programming, software architecture, debugging, and performance-analysis skills.
- Experience with model inference technologies such as CUDA and TensorRT.
- Proficiency in Python and experience working with machine-learning frameworks such as PyTorch.
- Experience developing software on Linux and embedded or real-time operating systems such as QNX.
- Experience integrating machine-learning models into complex, performance-sensitive production systems.
- Ability to diagnose issues across model behavior, application software, middleware, operating systems, and hardware.
- Experience with autonomous driving, robotics, ADAS, or another real-time intelligent system.
Skills: learned driving models, vehicle interfaces, sensor inputs, heterogeneous computing platforms, C++/Python/CUDA
This role has been open 20 days — well below the 58-day median for Systems Software Engineering roles.
Systems Software Engineering · Systems Software
|
Open roles in category
679
|
Median days open
58 d
|
Median salary
$213k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (679 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 128 | 679 |
| Open roles in the wider Software, Firmware & Systems family | 966 | 6085 · 146 employers |
| Median days open | 50 d | 58 d (−8 d vs this employer) |
| Median salary (USD postings) | — | $213k |
Skills observed across this category: learned driving models, vehicle interfaces, sensor inputs, heterogeneous computing platforms, C++/Python/CUDA
Who's hiring in this category
- Qualcomm · 168 open roles · median 73 d
- NVIDIA (this employer) · 127 open roles · median 51 d
- AMD · 61 open roles · median 49 d
- Mobileye · 29 open roles · median 72 d
- Broadcom · 22 open roles · median 44 d
- Arm Holdings · 20 open roles · median 106 d
How we counted: 679 open Systems Software Engineering (Systems Software) roles from 73 employers tracked in the SemiconductorJobs index, counted 9 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.