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 deep learning — 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, we are increasingly known as “the AI computing company.” We are looking to grow our company and establish teams with the most thoughtful people in the world.
NVIDIA GH200 superchip provides performance and productivity required for strong scaling for HPC and generative AI workload. Scale out is inherent to the design of this massive superchip. We are looking for expert engineers to come and help design rack level solutions for next generation scaling AI supercomputing platforms.
Join us at the forefront of technological advancement.
What you will be doing:
Drive next generation fleet management solutions for scaling AI infrastructure using GPUs and Grace solution from Nvidia. Work with customers, product management and other architects to narrow down on requirements for implementation to ensure speed of light product development.
Bring up clarity on architecture for fleet health monitoring and fault-remediation solution at scale. Work with customers and other architects, understand their requirements on health monitoring, making best use of available capabilities in-band as well as out of band. Detailed architecture, do POCs to validate architecture.
Educate customers about product architecture and take feedback to make necessary changes. Write architecture specs, design documents and own end to end delivery of product by working across the teams. Do code review for the code produced because of architecture specs.
Ensure product is properly tested by working with the development team to enhance unit testing and proper test plan in place.
Drive product life cycles with QA teams to productize the code and be responsible as a product owner.
Articulate requirements as part of Jira and bug management tools and work out an end-to-end execution plan in collaboration with other managers.
Contribute to all phases of product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.
What we need to see:
BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).
5+ years hands-on coding experience
Strong knowledge of time series databases like Influxdb & Prometheus. Strong knowledge of building and consuming REST APIs (Redfish is big plus). Strong knowledge of telemetry visualization solutions like Grafana & Influx. Strong knowledge of firmware architecture, optimize firmware for low latency APIs. Strong knowledge of analyzing algorithms for time & space complexity and project system resource requirements.
Proven record of solutions for scalability
Strong and demonstrable skill in C/C++ and Python
Experience programming and debugging skills for server platforms.
Experience in SCM (e.g., Git, Perforce) and project management tools like Jira.
You should possess excellent written and oral communication skills, excellent work ethics, a great sense of teamwork, love to produce quality work and commitment to finish your tasks every single day.
You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding.
Ways to stand out from the crowd:
Experience building telemetry collection & analysis engines. Experience with Redfish. Experience with notification systems like PagerDuty.
Active Open Compute (OCP) and DMTF contributor in relevant areas. Hands on with x86 or ARM system architecture.
Familiarity with Confidential Compute.
Experience with ML and multi-variable optimization techniques.
NVIDIA is considered 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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
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.”
