Six Figure Work

Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $184,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 min ago) · observed since

About this job

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:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($184,000) is above 56% of the 4,289 Software Engineering roles in California listed on this site; 128 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $203,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive (this listing)$184,000 - $356,500
Senior Software Engineer, Subnet Management$184,000 - $356,500
Senior Software Engineer, AI Networking$184,000 - $356,500
Senior Software Engineer, Machine Learning Safety$184,000 - $356,500
Senior Firmware Security Architect, Networking$184,000 - $356,500
Senior Compiler Engineer - AI$184,000 - $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.