Developer Technology Engineer, Energy

Overview

• Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing.
• For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU.
• The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science.
• Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.
• We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA is looking for a passionate, world-class computer scientists and engineers ( Compute Developer Technology - DevTech) to accelerate Energy simulation and AI workflows on NVIDIA platforms.
• You will focus on CUDA performance optimization for workloads such as seismic processing (e.g., imaging/inversion pipelines), reservoir simulation , power grid simulators , and related HPC/AI production workflows.
• You will work hands-on with customer and partner engineering teams as well as NVIDIA product and engineering groups to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.
• What y ou will b e d oing: 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 GPU libraries (as applicable): cuBLAS, cuFFT, cuSPARSE, cuSOLVER, NCCL Multi-GPU and multi-node scaling using MPI + NCCL , CPU/GPU overlap, communication patterns 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 resusable code that would lead to future NVIDIA products.
• What w e n eed to s ee: BS/MS (or equivalent experience) in CS/CE/EE/Physics/Applied Math or related field.
• 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 experi ence in GPU/HPC optimization; strong track record of delivered speedups and scaling improvements.
• Ways to stand out from the crowd : Leads performance reviews with customer stakeholders; creates reusable playbooks/reference designs.
• Experience/Skills (typical) HPC experience with MPI , distributed systems, and multi-node performance tuning.
• Energy/HPC domain exposure: Seismic processing pipelines, RTM/FWI-style patterns, FFT/stencil/linear algebra heavy codes Reservoir simulation (sparse/iterative solvers), preconditioning, domain decomposition Power grid simulation / transient stability / optimization workflows Experience with CI/perf regression testing, containerized workflows (Docker/Apptainer), and schedulers (Slurm).
• Familiarity with AI workflows used alongside simulation (data prep, training/inference integration, pipeline performance).
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people in the world working for us.
• If you're creative and autonomous, we want to hear from you!.