Senior Backend Engineer, Database and Systems Infrastructure

Details

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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

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.

Responsibilities

• Craft scalable and resilient database solutions for web and machine learning products.
• Develop performant API’s, data pipelines and microservices in a distributed systems environment.
• Drive platform stability and performance through strategic integration of observability frameworks.
• Own technical strategy for broad and complex challenges. Collaborate closely with product and engineering teams to translate high-level requirements into actionable work. Handle multiple tasks and adapt to changing priorities.
• Be an engineering generalist. Discover and build skills needed at different times to tackle the problems at hand.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 8+ years experience developing large-scale software applications and infrastructure (NodeJS and/or Python preferred).
• Knowledge of different database types and a keen sense of when to use them.
• Experience in the bring-up and configuration of databases, including aspects pertaining to query optimization, scaling strategies and observability metrics.
• Strong fundamentals in file handling and scripting for large-scale data/text parsing, backed by a solid grasp of data structures, algorithms, event-driven architecture, and distributed systems concepts.
• Familiar with orchestration, containerization, CI/CD methodologies.

Ways to stand out from the crowd:

• A passion for well-written code, test-driven development and engineering best practices.
• Strong problem solving and interpersonal skills, self-motivated, and a team player.
• A zeal to learn and perform beyond prior experience and expertise.

With industry-leading salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. The most forward-thinking engineers in the world do their life’s work at NVIDIA. If you're creative and autonomous, with a real passion for technology, we want to hear from you.