NVIDIA is seeking a Senior Web Software Engineer to join us to design and build our versatile, highly scaled AI infrastructure and deep learning platform for autonomous vehicles. In this role, you will work together with global teams, contribute your talents to our next generation AI infrastructure, help our customers to build their products and change the world.
What you’ll be doing:
- Design and develop scalable, reliable distributed systems that power our AI infrastructure and deep learning platform.
- Design and develop microservices, data pipelines for mining, transforming, and composing petabyte-scale datasets.
- Collaborate with deep learning teams to understand their needs and build a future-ready platform that improves developer and researcher productivity.
- Design and develop tools to diagnose and analyze autonomous vehicles system issues.
- Partner with platform users to continuously improve the user experience.
What we need to see:
- A bachelor's or master's degree in computer science, software engineering, or a related fields.
- At least 8 years of industry experience in designing and developing distributed systems.
- Strong software development fundamentals, including algorithms, data structures, design patterns, computer architecture.
- Deep knowledge in distributed system design and development.
- Hands-on experience designing or operating big data platforms, including Apache Spark, data architectures, and large-scale batch or streaming data pipelines.
- Expert-level proficiency in at least one of the following languages: Go, Python, or Java.
- Strong communication and interpersonal skills, with a demonstrated ability to collaborate across cross-functional teams, organizations.
Ways to stand out from the crowd:
- Experience with Amazon AWS cloud, especially CloudFront, DynamoDB, Lambda, S3, SNS/SQS.
- Experience with Kubernetes and Docker.
- Contributions to open-source projects.
- Demonstrated passion for new technologies and initiative in tackling complex technical challenges.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative and autonomous software engineer with a genuine passion for advancing the state of AI and machine learning across a variety of verticals? Do you love a challenge? If so, we want to hear from you!
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- At least 8 years industry experience designing and developing distributed systems
- Strong software development fundamentals (algorithms, data structures, design patterns, computer architecture)
- Deep knowledge in distributed system design and development
- Hands-on experience designing or operating big data platforms, including Apache Spark and large-scale batch or streaming pipelines
- Expert-level proficiency in at least one: Go, Python, or Java
- Strong communication and interpersonal skills; ability to collaborate across cross-functional teams
- Experience with Amazon AWS cloud (CloudFront, DynamoDB, Lambda, S3, SNS/SQS)
- Experience with Kubernetes and Docker
- Contributions to open-source projects
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.”
