2 months ago
Base Salary
$184k - $357k/yr
Responsibilities
- Extend and adapt the low-latency streaming stack to QNX and AUTOSAR platforms while meeting determinism, timing, and partitioning requirements.
- Develop QM-classified streaming software with architectural isolation from ASIL-rated components under ISO 26262.
- Collaborate with functional-safety teams on freedom-from-interference and resource-partitioning requirements.
- Build test infrastructure and tools for real-time performance and fault-tolerance validation.
- Define and monitor performance and safety metrics and drive product improvements.
- Review code and designs and help evolve engineering and safety processes.
Requirements
- Proficiency in C/C++ and strong systems software programming and open-box debugging skills.
- Hands-on experience developing, debugging, and performance-tuning real-time, latency-sensitive software in QNX or other RTOS environments for automotive or similar safety-critical domains.
- Understanding of ISO 26262 classification concepts, including QM and ASIL, and freedom-from-interference and partitioning principles.
- Experience with real-time video and audio pipelines, encoding, decoding, RTP/RTCP, SRTP, and QoS algorithms such as adaptive streaming, FEC, L4S, and ECN.
- Understanding of deterministic, thread-safe, and memory-safe coding practices.
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience, with 8+ years of relevant experience.
- Experience with automotive SoCs, hypervisors, interactive streaming applications, ISO 21434, TCU integration, LTE/5G connectivity, link bonding, or failover is preferred.
Benefits
- Competitive base salary with equity and comprehensive benefits for employees and families.
- Applications will be accepted at least until August 31, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.