Senior Software Developer

Posted 4 Days Ago
Be an Early Applicant
5 Locations
Remote
200K-250K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain automated testing frameworks for NVIDIA's Base Command Manager, validating software functionality and integration with cloud and hardware technologies.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an enthusiastic and experienced software developer for the development of automated testing frameworks for NVIDIA's Base Command Manager (BCM). BCM is used to power thousands of Linux clusters around the world, varying from a few nodes to several thousands of nodes. Base Command clusters can run on-premises, completely in the cloud, or in a hybrid environment.

What you'll be doing:

  • Testing Framework Development: Design, implement, and maintain automated testing frameworks, including writing robust and reusable code.

  • System Validation: Develop tools and workflows to validate software functionality, ensuring it meets customer expectations.

  • Cloud & Hardware Integration: Validate the integration of our software with leading public cloud service providers, as well as with the latest hardware technologies such as GPUs and accelerators.

  • Defect Analysis: Investigate and analyze test results, identify root causes of defects, and collaborate with development teams on solutions.

  • There will be ample opportunity to develop your skills and take initiative.

What we need to see:

  • Degree in Computer Science or related field, or equivalent experience

  • 5+ years of proven experience in software development on Linux platforms.

  • Proficiency in Python with focus on developing clean and efficient code.

  • Strong problem-solving skills, attention to detail, and ability to collaborate across teams.

  • Eagerness to learn and use new technologies.

  • Familiarity with Linux shell scripting. Experience with version control (Git) and CI/CD pipelines.

  • Our cluster management software is based on Linux. You should be experienced with the Linux operating system and in particular with networking concepts in Linux. 

  • You are familiar with the most common software included in a typical Linux server installation.

Way to stand out from the crowd:

  • Knowledge of public cloud providers (AWS, Azure, OCI, GCP) and their ecosystems.

  • Experience with highly scalable distributed systems and system administration.

  • Experience with Kubernetes and Docker.

  • Hands-on experience with or curiosity about using AI-assisted coding tools to improve developer efficiency.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative, autonomous, and looking for a challenge? If so, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

AWS
Azure
Ci/Cd
Docker
GCP
Git
Kubernetes
Linux
Oci
Python
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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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