Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Nvidia Senior Software Engineer, Distributed Systems - DGX Cloud in Santa Clara, California

NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, a deep understanding of distributed systems, familiarity with software testing and deployment, and excellent communication and planning abilities. We also welcome out-of-the-box thinkers who can provide new ideas with strong at execution bias. Expect to be constantly challenged, improving, and evolving for the better. You and other engineers in this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science. What are you waiting for if you're creative, passionate about what you do, and love having fun apply today!

For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

What you will be doing:

  • We are designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.

  • Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry, we can predict system failures in order to optimize workload success rates.

  • Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.

What we need to see:

  • Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.

  • 5+ years of software engineering experience on large-scale production systems.

  • You possess a BS in Computer Science/Engineering/Physics/Mathematics or other comparable Degree or equivalent experience.

  • Expert level knowledge of a systems programming language (Go, Python) and a solid understanding of Data Structure and Algorithms.

  • Understanding of performance, security and reliability in complex distributed systems. Familiarity with system level architecture, data synchronization, fault tolerance and state management.

Ways to stand out from the crowd:

  • Proficiency in architecting and managing large-scale distributed systems, independent of cloud providers

  • Advanced hands-on experience and deep understanding of cluster management systems (kubernetes, Slurm, Bright Cluster Manager)

  • Proven operational excellence in designing and maintaining AI infrastructure

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

The base salary range is 180,000 USD - 276,000 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 (https://www.nvidia.com/en-us/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 is a Learning Machine

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA .

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