Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive - CA, Santa Clara, United States
$184,000 - $356,500 USD yearly
Originally posted 27 August 2026 by the employer.
Extend GeForce NOW’s real-time streaming technology into automotive platforms.
About the role
This role involves extending NVIDIA’s low-latency interactive cloud streaming technology to automotive platforms, focusing on real-time media streaming and safety-critical software development. The work includes adapting and hardening streaming pipelines to meet reliability, determinism, and certification demands for in-vehicle systems.
What you'll do
- Extend and adapt low-latency streaming stack to RTOS platforms (QNX, AUTOSAR Adaptive/Classic) to meet determinism, timing, and partitioning requirements.
- Develop QM-classified streaming software with freedom-from-interference awareness, ensuring architectural isolation from ASIL-rated components per ISO 26262 standard.
- Collaborate with functional safety teams to ensure streaming components meet freedom-from-interference and resource-partitioning requirements relative to colocated safety-critical systems.
- Build and evolve test infrastructure and tools to validate real-time performance and fault-tolerance behavior for automotive streaming scenarios.
- Define and monitor performance/safety metrics and drive continuous product improvement.
- Review code and design across the team, and help evolve team engineering and safety processes.
What you'll need
- Proficiency in C/C++, with strong systems software programming and open-box debugging skills.
- Hands-on experience with development, debugging, and performance tuning of real-time, latency-sensitive software in QNX or other RTOS environments for automotive or a similar safety-critical domain.
- Solid understanding of ISO 26262 classification concepts (QM vs. ASIL) and freedom-from-interference/partitioning principles.
- Experience with real-time video/audio pipelines including encoding, decoding, network protocols (RTP/ RTCP/ SRTP), and QoS algorithms (Adaptive streaming, FEC, L4S, ECN).
- Understanding of deterministic, thread-safe and memory-safe coding practices.
- BS or MS in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience) with 8+ years of experience in above areas.
Skills: RTOS, software safety standards, ISO 26262, automotive platforms, real-time streaming
This role has been open 47 days — well below the 69-day median for Automotive/Functional Safety Engineering roles.
Automotive/Functional Safety Engineering · Automotive Safety
|
Open roles in category
125
|
Median days open
69 d
|
Median salary
$233k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (125 roles · 26 employers) |
|---|---|---|
| Open roles in this specialty | 18 | 125 |
| Median days open | 53 d | 69 d (−16 d vs this employer) |
| Median salary (USD postings) | — | $233k |
Skills observed across this category: RTOS, software safety standards, ISO 26262, automotive platforms, real-time streaming
Who's hiring in this category
- NXP Semiconductors · 28 open roles · median 44 d
- NVIDIA (this employer) · 18 open roles · median 54 d
- Infineon Technologies · 13 open roles · median 45 d
- Arm Holdings · 10 open roles · median 83 d
- Qualcomm · 9 open roles · median 189 d
- Renesas Electronics · 8 open roles · median 50 d
How we counted: 125 open Automotive/Functional Safety Engineering (Automotive Safety) roles from 26 employers tracked in the SemiconductorJobs index, counted 15 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. Figures refresh nightly.