Energy HPC CUDA Performance Engineer

NVIDIA; United Arab Emirates; On-site; AED 550,000 - 1,000,000; Full time

Job summary

NVIDIA in United Arab Emirates is seeking a world-class Compute Developer Technology (DevTech) engineer to accelerate energy simulation and AI workflows on NVIDIA platforms. You will focus on CUDA performance optimization for workloads such as seismic processing, reservoir simulation, and power grid simulations.

You will collaborate with customer and partner teams as well as NVIDIA product and engineering groups to deliver measurable speedups on multi-GPU and multi-node systems, build

Qualifications

• BS/MS in CS/CE/EE/Physics/Applied Math or equivalent experience.
• Strong programming skills in C/C++ and Python on Linux.
• Hands-on experience with CUDA programming and GPU performance optimization concepts.
• Experience profiling and debugging performance using tools such as NVIDIA Nsight Systems / Nsight Compute (or equivalent).
• Understanding of parallel computing and performance fundamentals (vectorization, threading, NUMA, memory bandwidth/latency).
• Ability to communicate technical findings clearly to both engineers and non-engineers.
• 5+ years relevant experience in GPU/HPC optimization; strong track record of delivered speedups and scaling improvements.

Responsibilities

• Profile, analyze, and optimize GPU-accelerated applications with emphasis on CUDA kernels, memory movement, concurrency, and end-to-end throughput.
• Drive performance improvements across the stack: CUDA C++ kernel optimization, launch configuration, memory hierarchy, streams/events.
• Build reproducible benchmarks, performance reports, and tuning recommendations (before/after, methodology, scaling curves).
• Develop and maintain reference implementations, examples, and/or patches to customer code to enable performance and portability.
• Support customer engagements (POCs to production), including debugging correctness/performance issues and advising on best practices for deployment (containers, schedulers, clusters).
• Collaborate with internal teams to file actionable issues, validate fixes, and influence roadmap based on real customer requirements in Energy.
• Build internal libraries and reusable code that would lead to future NVIDIA products.

Skills

CUDA programming

C/C++

Python

Linux

GPU performance

Nsight tools

MPI/NCCL

Education

BS/MS in CS/CE/EE/Physics/Applied Math

Tools

NVIDIA Nsight Systems

NVIDIA Nsight Compute

MPI

NCCL

Docker/Apptainer

Job description

NVIDIA in United Arab Emirates is seeking a world-class Compute Developer Technology (DevTech) engineer to accelerate energy simulation and AI workflows on NVIDIA platforms. You will focus on CUDA performance optimization for workloads such as seismic processing, reservoir simulation, and power grid simulations.

You will collaborate with customer and partner teams as well as NVIDIA product and engineering groups to deliver measurable speedups on multi-GPU and multi-node systems, build