NVIDIA is widely regarded as a leading company in technology. It has groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work enables exploration of new universes, enables outstanding creativity and discoveries that were once science fiction from artificial intelligence to autonomous cars and robotics.
NVIDIA Halos is the full-stack, comprehensive safety system that unifies autonomous machines architecture, AI models, chips, software, tools, and services to ensure the safe development and deployment of Physical AI. We are actively seeking a Senior SW Safety Engineer to join the Halos team and collaborate closely with other teams across NVIDIA working on autonomous vehicle and robotics safety.
What You’ll Be Doing:
- Be pivotal in ensuring the safety of our AI-based autonomous system software.
- Engage with a diverse team of engineers across the entire DRIVE platform and related research unit. You will work closely with the groups handling automotive functional safety and safety of the intended functionality.
- Collaborate with the teams dedicated to robotics, humanoids, industry safety and other safety critical applications across NVIDIA.
- Apply your skills to guide the teams to specify, build, implement, and verify safety requirements across our software stack from drivers and acceleration libraries to AI-based technologies, including end-to-end models.
- Help NVIDIA team implementing our Product Life Cycle to integrate the process principles of AI safety.
- Your role includes engaging in customer interaction and international standardization activities related to safety of Artificial Intelligence.
- Support system safety activities including decomposition of safety requirements, system and component level build analysis (FTA, DFA, CCF, FMEA, etc.), and architectural safety analysis across hardware and software boundaries.
- Collaborate with external certification bodies, assessors, and regulators. You will present, defend, and justify safety arguments and evidence. This supports successful safety certification reviews related to functionality and AI.
What we need to see:
- BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience.
- 12+ years of shown experience in Artificial Intelligence and SW safety related processes, methodologies, tools.
- Experience in AI safety methods and tools (adaptability testing, uncertainty evaluation, out of distribution detection, and other related methods).
- Familiarity with system software development and embedded platforms.
- Strong written and verbal communication skills.
- Experience in reviewing existing processes and finding gaps to suggest improvements.
- Experience producing safety plans, safety analyses reports, safety case documentation, and evidence packets in support of safety certification and audit activities.
Ways to Stand Out from the Crowd:
- Strong background in safety standards (ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, IEC 61508).
- Background in system safety methodologies & practices (HARA, FMEA, FTA, STPA).
- Hands-on experience with innovative systems engineering methodologies – such as requirements management, peer review processes, configuration management, requirements management in an agile development environment, risk management, requirements verification and traceability, validation and verification, and architectural decomposition.
- Hands-on experience in autonomous systems.
- Success applying the V-Model to sophisticated AI-based engineering projects, ideally in all stages of the SW development life cycle.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s, master’s, or doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience
- 12 or more years of experience in artificial intelligence and software safety processes, methodologies, and tools
- Experience with AI safety methods and tools, including adaptability testing, uncertainty evaluation, and out-of-distribution detection
- Familiarity with system software development and embedded platforms
- Strong written and verbal communication skills
- Experience reviewing processes, identifying gaps, and recommending improvements
- Experience producing safety plans, safety analysis reports, safety case documentation, and evidence packets for certification and audits
- Strong background in ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, and IEC 61508
- Experience with system safety methodologies including HARA, FMEA, FTA, and STPA
- Experience with requirements management, peer review, configuration management, risk management, traceability, verification and validation, and architectural decomposition
- Hands-on experience with autonomous systems
- Experience applying the V-Model across sophisticated AI-based software development lifecycles
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
