Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive

NVIDIA•Us, CA

10d•Onsite

About The Position

Our team builds the technology powering this behind ultra-low-latency, interactive cloud streaming GeForce NOW — delivering a bare-metal gaming experience to a diverse range of client devices. We're now extending this low-latency streaming foundation into the automotive domain, where the bar isn't just performance — it's safety as well. We are seeking a Senior Systems Software Engineer with deep knowledge of RTOS and software safety standards to help bring GFN's real-time streaming technology to automotive platforms. You'll work at the intersection of real-time media streaming and safety-critical software development, adapting and hardening our streaming pipelines to meet the reliability, determinism, and certification demands of in-vehicle systems. If you're excited by the challenge of reimagining low-latency interactive streaming for an exacting environment, this team is the place to be. https://www.nvidia.com/en-us/geforce-now .

Requirements

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

Nice To Haves

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

Responsibilities

Extend and adapt GFN's low-latency streaming stack to RTOS platforms (e.g., QNX, AUTOSAR Adaptive/Classic) to meet strict 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