Senior Software Engineer – Build Tools

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4 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!

Our team is responsible for development and support of infrastructure tools used by design engineers for building sophisticated chip designs. Rapid changes to adapt to new design and process requirements are the must while maintaining backward compatibility and keeping tools reliable and scalable.

What You'll be Doing:

  • Work as a team to develop and maintain reliable, scalable and highly intelligent build systems that runs hundreds of thousands of jobs each day.

  • Develop scalable tools to collect, analyze and visualize the performance and health of the build system.

  • Develop responsive services for users to quickly search through source files and logs

  • Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.

What We Need to See:

  • Bachelor's degree (or higher) in Computer Science or Computer Engineering or equivalent experience

  • 5+ years of software development experience

  • Experienced with OOP, Perl/python/C++, Unix/Linux.

  • Solid understanding of data structure, algorithms (e.g graphs, DAG), computer architecture and computer science theory

  • Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:

  • Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, makepp, Bazel)

  • Experienced with distributed computing systems such as LSF

The base salary range is 148,000 USD - 287,500 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.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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