Senior Systems Software Engineer, Low Latency Streaming Technology

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 61 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $236k

$150k $302k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $177,300–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Systems Software Engineer, Low Latency Streaming Technology

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The Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive joins the team building the technology powering ultra-low-latency, interactive cloud streaming. This role involves extending and adapting the low-latency streaming stack to RTOS platforms like QNX and AUTOSAR Adaptive/Classic to meet strict determinism and timing requirements. You will develop QM-classified streaming software with freedom-from-interference awareness per ISO 26262 standards, ensuring architectural isolation from ASIL-rated components. Key responsibilities include building test infrastructure to validate real-time performance, reviewing code, and monitoring safety metrics. Required skills include proficiency in C/C++, experience with real-time video/audio pipelines, network protocols like RTP/RTCP/SRTP, and QoS algorithms. The work focuses on adapting real-time media streaming for safety-critical automotive platforms, requiring deep knowledge of RTOS and software safety standards.

Skills

C/C++ RTOS QNX AUTOSAR ISO 26262 ISO 21434 RTP RTCP SRTP QoS FEC L4S ECN Hypervisors SoCs LTE 5G Memory-safe coding

What you'll do

Adapt and extend the low-latency streaming stack to RTOS platforms like QNX and AUTOSAR.
Develop QM-classified streaming software with freedom-from-interference awareness for ISO 26262 compliance.
Ensure architectural isolation from ASIL-rated components through strict resource partitioning.
Build and evolve test infrastructure to validate real-time performance and fault-tolerance for automotive scenarios.
Define and monitor performance and safety metrics to drive continuous product improvement.
Review code and designs to evolve team engineering and safety processes.

What we're looking for

Proficiency in C/C++ with 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 other RTOS environments.
Solid understanding of ISO 26262 classification concepts and freedom-from-interference/partitioning principles.
Experience with real-time video/audio pipelines, including encoding, decoding, network protocols (RTP/RTCP/SRTP), and QoS algorithms.
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.
Experience with automotive SoCs, hypervisors (preferred).
Background in interactive, latency-sensitive streaming applications such as gaming, video conferencing, or cloud streaming (preferred).

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