Senior Backend Engineer, Database and Systems Infrastructure

1 Month ago • 8 Years + • Backend Development • Full Stack Development • $184,000 PA - $356,500 PA

Job Summary

Job Description

NVIDIA's VLSI Productivity and Infrastructure team seeks a Senior Backend Engineer to build scalable and resilient database solutions for web and machine learning products. Responsibilities include developing high-performance APIs, data pipelines, and microservices in a distributed environment, ensuring platform stability and performance through observability frameworks, and owning technical strategy for complex challenges. Collaboration with product and engineering teams is crucial to translate requirements into actionable work. The role requires expertise in various database types, large-scale data parsing, data structures, algorithms, distributed systems, and CI/CD methodologies. A strong background in NodeJS and/or Python is preferred.
Must have:
  • 8+ years experience in large-scale software development
  • Database expertise (various types, optimization, scaling)
  • Strong fundamentals in data structures, algorithms, distributed systems
  • Experience with API development, data pipelines, microservices
  • Proficiency in NodeJS/Python
  • CI/CD, orchestration, containerization knowledge
Good to have:
  • Passion for well-written code and TDD
  • Strong problem-solving and interpersonal skills
Perks:
  • Industry-leading salary
  • Generous benefits package
  • Equity

Job 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. 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 tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

What you’ll be doing:

  • 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.

What we need to see:

  • 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.

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.

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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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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