NVIDIA is at the heart of AI, accelerated computing, and the systems that power them. We are hiring a Senior Engineer to design and build robust software for accelerated computing systems. You will solve challenging technical problems, contribute to architecture decisions, improve engineering practices, and collaborate with partners across NVIDIA. We’re seeking engineers who identify meaningful opportunities, approach problems with analytical rigor, and consistently deliver results in a fast-paced setting.
What you’ll be doing:
- Design, implement, and maintain software systems that combine hardware, software, workload, and deployment assumptions to evaluate data center-level power, TCO, and performance trade-offs.
- Contribute to software design decisions by prototyping and evaluating solutions and incorporating feedback from stakeholders.
- Strengthen engineering quality through effective testing, regression coverage, and operational practices.
- Collaborate across teams to define clear interfaces and enable efficient development.
- Make hands-on contributions to complex technical problems, help diagnose, and resolve issues.
- Participate in building and code reviews, share knowledge, and help teammates adopt effective software and engineering practices.
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Applied Mathematics, or a related field, or equivalent experience. An MS or PhD is preferred.
- 6+ years of experience in Python or other modern programming languages.
- Experience developing and maintaining technical software systems with strong analytical, problem-solving, and debugging skills.
- Ability to learn quickly and work effectively in a dynamic environment and apply new technologies and approaches.
- Strong written and verbal communication skills, with the ability to collaborate across multidisciplinary teams.
Ways to stand out from the crowd:
- Comfort navigating ambiguous problem spaces, learning from source code and primary papers, prototyping quickly, and adapting based on evidence.
- Background in performance analysis, executive dashboards, or quantitative modeling for accelerated systems. Experience working close to hardware or at large scale is a plus.
- Track record of turning real-world inputs into structured, reliable software.
- Experience helping teammates learn and adopt new technologies while continuing to deliver.
- Good judgment about systems build and openness to revising your views as new information emerges.
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 degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Applied Mathematics, a related field, or equivalent experience
- 6+ years of experience in Python or other modern programming languages
- Experience developing and maintaining technical software systems
- Strong analytical, problem-solving, and debugging skills
- Ability to learn quickly and work effectively in a dynamic environment
- Strong written and verbal communication skills, including collaboration across multidisciplinary teams
- MS or PhD degree
- Experience with performance analysis, executive dashboards, or quantitative modeling for accelerated systems
- Experience working close to hardware or at large scale
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
