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 — open 1 day.
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 0 days — well below the 54-day median for Systems Software Engineering roles.
Systems Software Engineering · Systems Software
|
Open roles in category
669
|
Median days open
54 d
|
Median salary
$205k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (669 roles · 72 employers) |
|---|---|---|
| Open roles in this specialty | 129 | 669 |
| Open roles in the wider Software, Firmware & Systems family | 943 | 5796 · 143 employers |
| Median days open | 43 d | 54 d (−11 d vs this employer) |
| Median salary (USD postings) | — | $205k |
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 · 159 open roles · median 63 d
- NVIDIA (this employer) · 131 open roles · median 43 d
- AMD · 57 open roles · median 51 d
- Broadcom · 25 open roles · median 53 d
- Mobileye · 24 open roles · median 59 d
- Arm Holdings · 20 open roles · median 86 d
How we counted: 669 open Systems Software Engineering (Systems Software) roles from 72 employers tracked in the SemiconductorJobs index, counted 19 Sept 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.