Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud

Job summary

NVI*** has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by great technology and amazing people. We’re now tapping into the unlimited potential of AI to define the next era of computing, where our GPUs power computers, robots, and self‑driving cars that can understand the world.

Benefits

Qualifications

• The ideal candidate brings broad, hands‑on experience across the stack, including GPU operators, device plugins, distributed inference serving, and major cloud platforms.
• in production.
• What we need to see:
• Bachelor’s or Master’s degree in Engineering or equivalent experience, ideally in Electrical, Computer Engineering, or Computer Science
• 8+ years of experience in computer architecture, networking, storage systems, and accelerator‑based platforms
• Expertise in Kubernetes and familiarity with the broader CNCF ecosystem
• Deep experience with large‑scale, parallel, distributed accelerator systems and performance optimization of AI workloads
• Experience with performance modeling and benchmarking for large‑scale systems
• Proficiency in Golang and/or Python
• Strong familiarity with the NVI*** software stack across training and inference
• Expertise with at least one major public cloud provider (for example, AWS, Azure, GCP, or OCI)
• Ways to stand out from the crowd:

Responsibilities

• In this key role, you will focus on scaling AI infrastructure while minimizing total cost of ownership, reducing cost per token and enabling future AI innovation and AI factories.
• What you'll be doing:

Skills

Degrees

Industry

Company size

Contract length

Security clearance