Senior Software Engineer, Full-Stack

NVIDIA•Us, CA

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
6+ years of professional experience in full-stack development.
Strong fundamentals in data structures, algorithms and software design patterns.
Experience building web apps with modern frameworks, tooling and design libraries (ReactJS preferred).
Experience building scalable API’s and backend systems (NodeJS and/or Python preferred).
Experience with data storage solutions and query optimization approaches (e.g. MySQL, MongoDB, Elasticsearch, AWS S3, etc.).
Familiar with orchestration, containerization, CI/CD and observability methodologies.

Nice To Haves

Thrives in a fast-paced setting where priorities shift and shipping quickly matters.
A passion for test-driven development and engineering best practices.
An eye for designing functional and intuitive user experiences.
A zeal to learn and perform beyond prior experience and expertise.

Responsibilities

Design and develop innovative AI-driven web products to solve big data challenges in chip design.
Build high performance API's, data pipelines, backend services and platform infrastructure in a distributed systems environment.
Own technical strategy for broad and complex challenges.
Collaborate closely with product and engineering teams to translate high-level requirements into actionable solutions.
An engineering generalist that navigates comfortably between frontend, backend and product challenges.
Discover and develop the skills needed at different times to solve the problems at hand.