Senior Backend Engineer, Web and Data Infrastructure

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.

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.

What You’ll Be Doing

Build robust backend systems for web and machine learning products. Design, develop and deploy scalable infrastructure for high-throughput and memory-heavy systems.

Implement performant APIs, storage solutions, data pipelines, and microservices in a distributed systems environment.

• Drive platform stability and performance through the strategic integration of observability frameworks for applications and infrastructure.
• 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.

Be an engineering generalist. Discover and build skills needed at different times to solve the problems at hand.

What We Need To See

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Minimum 8+ years experience developing large-scale software applications and infrastructure (NodeJS and / or Python preferred).
• Strong fundamentals in data structures and algorithms. Excellent grasp of software design patterns, API design, event-driven architecture, and distributed systems concepts.
• 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 techniques.

Ways To Stand Out From The Crowd

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

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 to 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.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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