# Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive at NVIDIA

NVIDIA is hiring a Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive in Santa Clara, United States. It pays $184k-$288k a year and Level rates it Little AI ●○○○; you can [apply on NVIDIA](https://jobsbylevel.com/go/e5852c4b-238a-48e1-99e5-cccd0e082e25?utm_medium=ai-agent).

AI Level 1, AI centrality 25 out of 100. US, CA, Santa Clara.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 1 (score 25 out of 100)
- Location: US, CA, Santa Clara
- Salary: $184k-$288k
- Posted: August 27, 2026
- Apply: https://jobsbylevel.com/go/e5852c4b-238a-48e1-99e5-cccd0e082e25?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-systems-software-engineer-low-latency-streaming-technology-automotive-at-nvidia-04055a

## Description

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. NVIDIA's GeForce NOW, the next-generation gaming service powered by NVIDIA GPUs in the cloud, transforms a Mac, any PC or just a mobile device into a high-performance gaming rig. GeForce NOW automatically keeps games up-to-date and users around the globe can instantly stream the latest games in high-definition resolution at the lowest latency for smooth gameplay. Just click and play! Visit us at https://www.nvidia.com/en-us/geforce-now . What You Will Be Doing: 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 What We Need to See: 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 Ways to Stand Out From the Crowd: 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 Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-systems-software-engineer-low-latency-streaming-technology-automotive-at-nvidia-04055a

Source: https://jobsbylevel.com/jobs/senior-systems-software-engineer-low-latency-streaming-technology-automotive-at-nvidia-04055a

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