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!
What you’ll be doing:
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We are designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
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Design, develop, test, debug, and optimize creative solutions for Datacenter firmware throughout lifecycle.
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Work closely with hardware, software, infrastructure, and business teams to transform new firmware features from idea to reality.
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Define server-level reliability, availability, and serviceability requirements in collaboration with various customers like CSPs and deliver fault resilient solution at scale as per customer expectations.
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Collaborate with hardware, software and firmware teams to drive failure analysis and large scale solution deployment.
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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:
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BS, MS, or PhD in EE/CS or related field of education (or equivalent experience) with 6+ years of experience active development using Python as primary programming language using Linux as OS.
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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.
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Familiarity with industry standards and specifications such as SPI, I2C, PCIe, UEFI and PLDM.
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System knowledge - how platform management works - areas like BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc.
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Expert level knowledge of a systems programming language (Go, Python) and a solid understanding of Data Structure and Algorithms.
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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:
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Background with In-depth understanding of the interaction of machine check architecture and error flows with system firmware/software.
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Familiar with Linux server design, x86/ARM system architecture, interconnects like PCI, and other I/O buses.
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Proven operational excellence in designing and maintaining cloud AI infrastructure. Proficiency in architecting and running large-scale distributed systems, independent of cloud providers.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
The base salary range is 148,000 USD - 230,000 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. 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.
Top Skills
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.”
