Senior Systems Software Engineer, Low Latency Streaming Technology - Automotive

NVIDIA AI; Santa Clara (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Comprehensive Benefits Package

Job summary

NVIDIA AI in Santa Clara, CA seeks a senior systems software engineer to adapt and harden GeForce NOW's streaming stack for automotive RTOS platforms, ensuring safety and determinism.

You will collaborate with functional safety teams to implement resource partitioning and validate real-time performance for in-vehicle systems, using C/C++ and RTOS like QNX.

This role emphasizes low-latency streaming, ISO 26262 compliance, and robustness for automotive-grade software.

Qualifications

• 8+ years of experience in systems software programming with proficiency in C/C++ and hands-on experience with RTOS like QNX.
• Solid understanding of ISO 26262 safety standards and real-time streaming pipelines.
• Experience with automotive safety critical systems and performance tuning for low-latency video/audio.

Responsibilities

• Adapt and harden GeForce NOW's streaming stack for automotive RTOS platforms.
• Collaborate with functional safety teams to implement resource partitioning.
• Validate real-time performance for in-vehicle systems.

Skills

C++

RTOS

QNX

ISO 26262

Low Latency Streaming

AUTOSAR

Real-time Video Pipelines

Network Protocols

Systems Programming

Functional Safety

Deterministic Coding

Memory-safe Coding

Performance Tuning

Debugging

QoS Algorithms

Automotive SoCs

Job description

Adapt and harden GeForce NOW's low-latency streaming stack for automotive RTOS platforms to ensure safety and determinism. Collaborate with functional safety teams to implement resource partitioning and validate real-time performance for in-vehicle systems.

Requirements:

Requires 8+ years of experience in systems software programming with proficiency in C/C++ and hands‑on experience with RTOS like QNX. Candidates must have a solid understanding of ISO 26262 safety standards and real-time audio/video streaming pipelines.

Key Skills:

• C++
• RTOS
• QNX
• ISO 26262
• Low Latency Streaming
• AUTOSAR
• Real-time Video Pipelines
• Network Protocols
• Systems Programming
• Functional Safety
• Deterministic Coding
• Memory-safe Coding
• Performance Tuning
• Debugging
• QoS Algorithms
• Automotive SoCs

Benefits:

• Equity
• Comprehensive Benefits Package