Senior System Software Engineer

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 97 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 $179k

This role $236k

$100k $308k

below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $151,000–$206,450 — the blue band above. At the midpoint, this role pays about $236k versus about $179k 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 System Software Engineer

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The Senior System Software Engineer - Halos joins the team building a full-stack safety platform for physical AI, including autonomous vehicles and industrial robots. You will architect, design, develop, and debug system software for the Halos OS across QNX, Linux, and hypervisor-based environments. Key responsibilities include developing BSP, boot, driver, and networking software for NVIDIA SoCs, as well as designing I/O virtualization for mixed-criticality systems. You will ensure software adheres to ISO 26262 and ISO 21434 standards while utilizing formal methods for high-integrity software. Required technical skills include proficiency in C, Python, and Ada/SPARK, along with expertise in ARM architecture, RTOS, and automotive networking solutions like IEEE 1588 PTP and TSN. You will also use GenAI-assisted engineering tools to accelerate debugging and workflow automation.

What does a System Software Engineer earn in California?

Median $235750 from 70 postings across 4 companies.

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Skills

C Ada/SPARK Python QNX Linux RTOS ARM Virtualization Hypervisor ISO 26262 ISO 21434 Formal Methods TLA+ Ethernet TSN IEEE 1588 PTP BSP I/O Virtualization

What you'll do

Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor environments.
Develop BSP, boot, driver, networking, and diagnostics software for NVIDIA SoCs and edge AI platforms.
Create safe and secure software compliant with ISO 26262 and ISO 21434 standards.
Bring up and optimize next-generation NVIDIA platforms in coordination with ASIC, firmware, and safety teams.
Design and develop I/O Virtualization solutions for mixed-criticality systems.
Use Formal Methods to architect and develop high-integrity software components.
Resolve complex kernel-level issues and integrate external Ethernet switching technology for vehicle platforms.
Utilize GenAI and AI-assisted engineering tools to automate debugging, testing, and requirements analysis.

What we're looking for

Bachelor's or master's degree in Computer Science or equivalent experience.
8+ years of experience in system software architecture and development for real-time embedded systems.
Proficient programming and debugging abilities in Python/C and/or Ada/SPARK.
Deep expertise in automotive networking across Linux and QNX, including network stack optimization, IEEE 1588 PTP, and TSN.
Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation.
Hands-on experience with debugging tools, performance analysis, system and network analyzer tools, and platform bring-up.
In-depth knowledge of embedded systems and real-time operating systems like QNX and RT Linux (preferred).
Good understanding of ARM architecture and low-level software development for ARM v8 based SOCs (preferred).

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