Senior Systems Software Engineer, Low Latency Streaming Technology

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $236k

$151k most similar roles pay here $302k

This role pays more than 83% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $206k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 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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As a Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive, you will join the team responsible for developing ultra-low-latency interactive cloud streaming technology. You will extend and adapt the existing low-latency streaming stack to RTOS platforms like QNX or AUTOSAR Adaptive/Classic while ensuring compliance with ISO 26262 standards. Your daily responsibilities include developing QM-classified software, collaborating with functional safety teams on resource partitioning, building test infrastructure for fault-tolerance, and reviewing team code and processes. The role requires proficiency in C/C++, experience with real-time video/audio pipelines including RTP/RTCP/SRTP protocols, and knowledge of QoS algorithms like FEC and L4S. You will solve the technical challenge of adapting high-performance streaming systems for safety-critical automotive environments, ensuring deterministic performance and architectural isolation from ASIL-rated components in a demanding, real-time production landscape.

Skills

C C++ RTOS QNX AUTOSAR ISO 26262 RTP RTCP SRTP QoS FEC L4S ECN Hypervisors LTE 5G ISO 21434

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 between streaming components and safety-critical systems.
Build and evolve test infrastructure to validate real-time performance and fault-tolerance in automotive scenarios.
Define and monitor performance and safety metrics to drive continuous product improvement.
Review code and designs while evolving team engineering and safety processes.

What we're looking for

Proficiency in C/C++ with strong systems software programming and open-box debugging skills.
Experience developing, debugging, and tuning real-time, latency-sensitive software in QNX or other RTOS environments for safety-critical domains.
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).
8+ years of experience in the specified systems software and real-time programming areas.

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