NVIDIA's VLSI Productivity and Infrastructure team seeks a Senior Backend Engineer to build robust backend systems for web and machine learning products.  Responsibilities include designing, developing, and deploying scalable infrastructure for high-throughput systems; implementing performant APIs, storage solutions, and microservices; driving platform stability and performance; owning technical strategy for complex challenges; and collaborating with product and engineering teams.  The ideal candidate will have strong experience in large-scale software application and infrastructure development (NodeJS and/or Python preferred), data structures and algorithms, and distributed systems.  Experience with data storage solutions and query optimization is crucial.  A passion for well-written code and test-driven development is highly valued.

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<div data-automation-id="jobPostingDescription" class="css-4r17ng"><p>NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.</p><p></p><p>We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all.</p><p></p><p><b>What you’ll be doing:</b></p><ul><li><p>Build robust backend systems for web and machine learning products. Design, develop and deploy scalable infrastructure for high-throughout and memory-heavy systems. Implement performant API’s, storage solutions, data pipelines and microservices in a distributed systems environment.</p></li><li><p>Drive platform stability and performance through strategic integration of observability frameworks for applications and infrastructure.</p></li><li><p>Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables. Handle multiple tasks and adapt to changing priorities.</p></li><li><p>Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.</p></li></ul><p></p><p><b>What we need to see:</b></p><ul><li><p>Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).</p></li><li><p>Minimum 8+ years experience developing large-scale software applications and infrastructure (NodeJS and/or Python preferred).</p></li><li><p>Strong fundamentals in data structures and algorithms. Excellent grasp of software design patterns, API design, event-driven architecture and distributed systems concepts.</p></li><li><p>Experience with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).</p></li><li><p>Familiar with orchestration, containerization, CI/CD and observability techniques.</p></li></ul><p></p><p><b>Ways to stand out from the crowd:</b></p><ul><li><p>A passion for well-written code, test-driven development and engineering best practices.</p></li><li><p>Strong problem solving and communication skills, self-motivated, and a team player.</p></li><li><p>A zeal to learn and perform beyond prior experience and expertise.</p></li></ul><p></p><p>With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.</p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.<div><div><div><div><div><div><div><p><span>You will also be eligible for equity and <a rel="noopener noreferrer" target="_blank" href="https://www.nvidia.com/en-us/benefits/">benefits</a>. </span><span><i><span>NVIDIA accepts applications on an ongoing basis.</span><span> </span></i></span></p><p></p></div></div></div></div></div></div></div>NVIDIA is committed to fostering a diverse 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.<p style="text-align:inherit"></p><p style="text-align:inherit"></p></div>