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

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Systems-Software-Engineer--Low-Latency-Streaming-Technology---Automotive_JR2024547?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fe889737-1bf

## Description

We are seeking a Senior Systems Software Engineer to join our team in developing low-latency streaming technology for the automotive domain.

You will be working on extending and adapting our low-latency streaming stack to RTOS platforms, developing QM-classified streaming software, collaborating with functional safety teams, building test infrastructure, defining performance and safety metrics, and reviewing code and design across the team.

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

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

Benefits:

- Highly competitive salaries

- Comprehensive benefits package

- Equity eligibility

## Skills

### Required
- C/C++
- RTOS
- QNX
- AUTOSAR
- ISO 26262
- real-time video/audio pipelines
- QoS algorithms

### Nice to have
- automotive SoCs
- hypervisors
- interactive streaming applications
- automotive cybersecurity standards
- cellular link behavior

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Systems-Software-Engineer--Low-Latency-Streaming-Technology---Automotive_JR2024547?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)