Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive

NVIDIA•Santa Clara, CA

10d•$224,000 - $356,500

About The Position

NVIDIA is seeking a Senior Systems Software Engineer to extend GeForce NOW’s low-latency streaming technology to automotive platforms. The role focuses on adapting and hardening real-time streaming pipelines to meet the determinism, reliability, and certification needs of in-vehicle systems, combining real-time media streaming with safety-critical software development. The engineer will work with RTOS platforms and develop QM-classified streaming software, ensuring appropriate architectural isolation from ASIL-rated components. The role also involves collaboration with functional safety teams, building validation infrastructure, defining performance and safety metrics, and contributing to code reviews and engineering and safety processes.

Requirements

Proficiency in C/C++, including 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 another RTOS environment for automotive or a similar safety-critical domain.
Solid understanding of ISO 26262 classification concepts (QM vs. ASIL) and freedom-from-interference and partitioning principles.
Experience with real-time video/audio pipelines, including encoding, decoding, network protocols (RTP/RTCP/SRTP), and QoS algorithms such as adaptive streaming, FEC, L4S, and 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 the stated areas.

Nice To Haves

Experience with automotive SoCs and hypervisors.
Background in interactive, latency-sensitive streaming applications such as gaming, video conferencing, or cloud streaming.
Exposure to automotive cybersecurity standards such as ISO 21434 alongside functional safety.
Background with automotive connectivity, including TCU integration, cellular (LTE/5G) link behavior, link bonding or failover, and designing for variable and lossy last-mile networks.
Experience employing agentic tools for code and documentation.

Responsibilities

Extend and adapt the low-latency streaming stack to RTOS platforms such as QNX and AUTOSAR Adaptive/Classic, meeting determinism, timing, and partitioning requirements.
Develop QM-classified streaming software with freedom-from-interference awareness and architectural isolation from ASIL-rated components under ISO 26262.
Collaborate with functional safety teams on 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 and safety metrics and drive continuous product improvement.
Review code and design across the team and help evolve engineering and safety processes.