Developer Technology Engineer, Energy

🕒 May 28

🌐 Switzerland, United Kingdom, +4 more countries – Remote

🇨🇭 Switzerland – Remote 🇬🇧 United Kingdom – Remote 🇩🇪 Germany – Remote 🇸🇦 Saudi Arabia – Remote 🇫🇷 France – Remote 🇦🇪 United Arab Emirates (UAE) – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 49%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Profile, analyze, and optimize GPU-accelerated applications, emphasizing CUDA kernels, memory movement, concurrency, and end-to-end throughput • Drive performance improvements through CUDA C++ kernel optimization, launch configuration, memory hierarchy, streams/events, GPU libraries, and multi-GPU/multi-node scaling • Use MPI and NCCL for distributed scaling, CPU/GPU overlap, and communication optimization • Build reproducible benchmarks, performance reports, tuning recommendations, before/after analyses, and scaling curves • Develop and maintain reference implementations, examples, and patches to customer code for performance and portability • Support customer engagements from proofs of concept through production, debugging correctness and performance issues and advising on deployment best practices • Collaborate with customer, partner, product, and engineering teams to file actionable issues, validate fixes, and influence the roadmap • Build internal libraries and reusable code for future NVIDIA products • Lead performance reviews with customer stakeholders and create reusable playbooks/reference designs

🎯 Requirements

• 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 NVIDIA Nsight Systems / Nsight Compute or equivalent • Understanding of parallel computing and performance fundamentals, including vectorization, threading, NUMA, and memory bandwidth/latency • Ability to communicate technical findings clearly to engineers and non-engineers • 5+ years of relevant experience in GPU/HPC optimization, with a strong track record of delivered speedups and scaling improvements • HPC experience with MPI, distributed systems, and multi-node performance tuning • Energy/HPC domain exposure, including seismic processing pipelines, reservoir simulation, or power grid simulation • Experience with CI/performance regression testing, containerized workflows using Docker/Apptainer, and schedulers such as Slurm • Familiarity with AI workflows used alongside simulation, including data preparation, training/inference integration, and pipeline performance

🏖️ Benefits

• NVIDIA employee benefits are not specified in the posting