Full-Time

Senior System Software Engineer

Halos Core and Robotics Platform

Updated on 9/4/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$184k - $356.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Bachelor's, Master's

Category
Software Engineering (1)
Required Skills
LLM
Apache Spark
C/C++
Linux/Unix

Get referred to NVIDIA

See people who can refer or advise you

Requirements
  • A Bachelor's or Master's degree in Computer Science, or equivalent experience.
  • At least 8 years of experience in system software architecture, developing solutions for complex system problems, and developing real-time embedded systems.
  • Strong understanding of computer architecture and operating system fundamentals.
  • Strong C and/or Ada/SPARK programming and debugging skills.
  • Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation.
  • Hands-on experience with debugging tools, performance analysis, and system analyzer tools.
  • In-depth knowledge of embedded systems and real-time operating systems, such as QNX and RT Linux.
  • Good understanding of ARM architecture and low-level software development for ARMv8-based SoCs.
  • Prior hands-on experience in Ada/SPARK programming, including specification and formal verification, and TLA+ formal verification modeling.
  • Background in software development compliant with ISO 26262 and ISO 21434 standards.
Responsibilities
  • Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments.
  • Design and develop board support package and I/O virtualization solutions, boot, driver, diagnostics, and platform software for mixed-criticality systems on NVIDIA SoCs and edge AI platforms.
  • Develop safe and secure software aligned with ISO 26262 and ISO 21434 standards by maximizing the use of formal methods.
  • Bring up and optimize next-generation NVIDIA platforms while working closely with ASIC, firmware, operating system, safety, security, and platform teams.
  • Use generative AI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation.
  • Design debugging, tracing, logging, and performance-analysis solutions that improve developer experience.
Desired Qualifications
  • In-depth knowledge of embedded systems and real-time operating systems, such as QNX and RT Linux.
  • Good understanding of ARM architecture and low-level software development for ARMv8-based SoCs.
  • Prior hands-on experience in Ada/SPARK programming, including specification and formal verification, and TLA+ formal verification modeling.
  • Background in software development compliant with ISO 26262 and ISO 21434 standards.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Get referred to NVIDIA

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon ordered 2 million GPUs for 2027-2028, validating hyperscaler demand.
  • August 2026 Lancium investment secured 4 GW leased capacity and 15 GW pipeline.
  • Blackwell Ultra and Vera Rubin shipments began; production ships in late 2026.

What critics are saying

  • Taiwan prosecutors indicted NVIDIA staff August 24, 2026 over illegal China server exports.
  • China’s antitrust probe still threatens fines, remedies, and slower mainland sales.
  • China export controls and ASIC substitution can cut NVIDIA off from a trillion-dollar market.

What makes NVIDIA unique

  • CUDA and NVLink lock developers into NVIDIA’s full-stack AI platform.
  • FY2026 revenue hit $215.9 billion, with data center revenue $193.7 billion.
  • Rubin launched February 2026, targeting 10x lower inference costs than Blackwell.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Business Insider
Sep 6th, 2026
Nvidia's Huang declares 'AGI has arrived' as OpenAI unveils Astra model

Nvidia CEO Jensen Huang declared that "AGI has arrived" whilst congratulating OpenAI on its newest model, Astra, released last Thursday. Astra was trained on Nvidia's chips and is described by OpenAI as the world's "most intelligent and aligned model". AGI, or artificial general intelligence, refers to AI systems that match or surpass human intelligence. OpenAI defines it as "highly autonomous systems that outperform humans at most economically valuable work". OpenAI president Greg Brockman said people will likely look back and think AGI was created "about this time". However, OpenAI CEO Sam Altman recently called AGI "a very poorly defined term" and "an irrelevant marketing term". Nvidia reported $96.2 billion in quarterly revenue in August, more than double the previous year, driven largely by demand for its AI chips.

Yahoo Finance
Sep 6th, 2026
Nvidia CEO Jensen Huang declares AGI achieved using 100,000 chip boxes as company posts $89B quarterly AI sales

NVIDIA CEO Jensen Huang claimed artificial general intelligence has arrived, citing OpenAI's latest ChatGPT model trained on his company's chips. NVIDIA now sells 72 chips in one box, wired to function as a unified system. Huang stated roughly 100,000 of these boxes trained OpenAI's new model, though he initially posted 300,000 before deleting and revising the figure without explanation. NVIDIA sold $89 billion of AI computers in three months, more than double the previous year. However, OpenAI has not confirmed AGI's arrival, and its president Greg Brockman stopped short of making such claims. A previously announced $100 billion partnership between the firms was never signed, and OpenAI has reportedly been buying fewer NVIDIA chips.

Omega Technology Solutions Group, Inc.
Sep 6th, 2026
NVIDIA invests in Lancium to secure 15+ GW AI data centre pipeline

NVIDIA has taken a strategic investment in Lancium, a Blackstone-backed infrastructure company, to deploy its AI platform across power-ready data centres. The deal provides NVIDIA access to 4 gigawatts of leased capacity and a development pipeline exceeding 15 gigawatts. The partnership addresses a critical bottleneck in AI infrastructure, where compute demand has outpaced available power-ready capacity at gigawatt scale. NVIDIA's DSX MaxLPS technology enables up to 40% more GPU density within the same power budget, improving deployment economics. Lancium is backed by Blackstone Energy Transition Partners and Blackstone Multi-Asset Investing. The investment signals NVIDIA is moving beyond hardware sales to secure physical capacity for customers, recognising that compute demand requires corresponding power and space infrastructure. The arrangement allows NVIDIA customers faster access to large-scale infrastructure built specifically for demanding AI workloads.

Yahoo Finance
Sep 6th, 2026
Nvidia and Broadcom forecast $230B AI chip revenue surge by 2028

AI stocks are predicted to remain strong investments over the next five years, with recent corporate guidance supporting this outlook. Broadcom reported 86% year-over-year revenue growth in its fiscal 2026 third quarter, with AI semiconductor revenue up 221%. The chipmaker projects AI chip revenue will double to $115 billion in fiscal 2027, then double again to $230 billion in fiscal 2028. Nvidia anticipates 70% year-over-year revenue growth in its fiscal 2028, citing supply chain issues as a limiting factor. Hyperscalers including Amazon, Microsoft, and Alphabet are generating substantial returns from their AI infrastructure investments through their cloud platforms. Investors are increasingly looking beyond chipmakers to smaller AI stocks for diversification opportunities.

Yahoo Finance
Sep 6th, 2026
Nvidia's $12.9B Hugging Face acquisition shows IPOs becoming optional for startups

Nvidia confirmed Thursday it will acquire AI model distribution platform Hugging Face for $12.9 billion. The company had reached $150 million in annualised revenue and raised nearly $395 million from investors including Amazon, Intel, Sequoia, and Coatue. The deal exemplifies how IPOs are becoming optional rather than obligatory for venture-backed companies. According to PitchBook research, the public offering is now "a tool for a specific problem" rather than an expected destination. Recent public market struggles support this shift. Chime went public at a steep markdown, whilst Figma has traded below its offer price for most of 2026. Only companies with capital needs too large for private buyers, such as OpenAI and Anthropic, now require public listings. Other successful exits include Stripe's acquisition of OpenRouter and SpaceX buying Cursor.