DGX Cloud Performance Engineer
Nvidia is seeking a high-level performance engineer to drive performance analysis, optimization, and modeling for DGX Cloud clusters. The role involves developing benchmarks and experiments to identify bottlenecks across HW/SW boundaries in large-scale AI distributed systems. You will collaborate with cross-functional teams to influence the architecture, design, and roadmap of NVIDIA's world-class AI infrastructure. Proficiency in C/C++, Python, and cloud infrastructure is required for this role at scale.
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Experience
10+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 1
What you will work on
Nvidia is seeking a high-level performance engineer to drive performance analysis, optimization, and modeling for DGX Cloud clusters. The role involves developing benchmarks and experiments to identify bottlenecks across HW/SW boundaries in large-scale AI distributed systems. You will collaborate with cross-functional teams to influence the architecture, design, and roadmap of NVIDIA's world-class AI infrastructure. Proficiency in C/C++, Python, and cloud infrastructure is required for this role at scale.
TAL's take
High-impact role at a Tier 1 company focusing on cutting-edge AI infrastructure and hardware-software codesign.
JD provides clear objectives, core responsibilities, and a defined technology stack for high-scale performance engineering.
Salaries at Nvidia
29.5 LPA average
Based on 43 Grapevine salary entries for Nvidia.
Engineering
0 - 2 years | IC2
14 LPA average
Range: 5 - 21 LPA
Engineering
2 - 4 years | IC3
21 LPA average
Range: 20 - 22 LPA
Engineering
4 - 6 years | IC3
29 LPA average
Range: 23 - 35 LPA
Engineering
6 - 8 years | SDE 2
30 LPA average
Range: 17 - 37 LPA
Must haves
- 10 years of experience in parallel and distributed accelerator-based systems
- Expertise in optimizing performance and AI workloads
- Experience with performance modeling and benchmarking at scale
- Strong background in Computer Architecture, Networking, and Storage
- Proficiency in Python and C/C++
- Expertise with at least one public cloud infrastructure provider
Tools and skills
Nice to have: cuda, xla.
About the company
Nvidia is a global leader in AI and semiconductor technology.