NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Software Engineer to drive the evolution of our AI-powered employee experiences across web and mobile, partnering with our global teams to push the technical boundaries of what’s possible.
What you’ll be doing:
Build end-to-end features that power a seamless, AI-rich employee experience across web and native mobile apps.
Architect highly performant services and UIs that surface personalized content, knowledge, and search results to a global workforce.
Embed LLM and vector-search capabilities into existing product surfaces, driving relevance and continuous learning loops.
Own system design and code reviews raising the engineering bar and mentoring engineers across the team.
Integrate third-party HRIS, collaboration, and productivity platforms to create cohesive, automated user journeys.
Champion modern front-end patterns (React/Next.js, TypeScript, Tailwind) and cloud-native back-end practices (K8s, containers, CI/CD).
Instrument robust observability—tracing, structured logging, and SLA dashboards, helping our SREs achieve 24×7 reliability for employees in every region.
Uphold security, privacy, and accessibility standards across all user journeys and promote exceptional technical documentation and knowledge-sharing sessions that multiply the team’s velocity and quality.
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
12+ years of full-stack product engineering, including 3+ years at the principal or staff level guiding cross-functional teams.
Proven track record delivering consumer-grade web and/or mobile experiences at scale.
Expertise in search, recommendation, or applied-AI systems.
Hands-on experience with modern cloud infrastructure, K8s, and automated CI/CD.
Strong data-modeling with relational and NoSQL stores.
Fluency in application security.
Strong mentoring skills, with the ability to provide vision and contribute directly to implementation.
Ways to stand out from the crowd:
Shipped generative-AI–powered features (RAG, copilots, chatbots) to thousands of daily users.
Contributions to open-source search or front-end frameworks.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 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, Electrical or Computer Engineering, Physics, Mathematics, another engineering field, or equivalent experience
- 12+ years of full-stack product engineering experience
- 3+ years at the principal or staff level guiding cross-functional teams
- Track record delivering consumer-grade web or mobile experiences at scale
- Expertise in search, recommendation, or applied-AI systems
- Hands-on experience with modern cloud infrastructure, Kubernetes, and automated CI/CD
- Strong data modeling experience with relational and NoSQL databases
- Fluency in application security
- Strong mentoring skills and ability to provide technical vision while contributing to implementation
- Experience shipping generative-AI features such as RAG, copilots, or chatbots
- Contributions to open-source search or front-end frameworks
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.”
