Developer Technology Engineer, Energy

3 days ago
Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
28 May 2026 (3 days ago)

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 you will be doing:

  • 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 we need to see:

  • 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 experience 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!

Related Jobs

View all jobs
Spotlight

Semiconductor Test Engineering Team Leader

Fractile Bristol, United Kingdom
On-site
Spotlight

Senior Processor Architect

Fractile London, United Kingdom

Developer Technology Engineer, Energy

NVIDIA Switzerland
On-site

Developer Technology Engineer, Energy

Remote

Developer Technology Engineer, Energy

Remote

Developer Technology Engineer, Energy

Remote

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Semiconductor Jobs in the UK (2026 Guide)

Where to advertise semiconductor jobs UK in 2026: the specialist boards, academic channels and community routes that actually reach IC, fab and EDA talent. The candidate pool is one of the smallest and most specialised in any engineering discipline — spanning IC design engineers, process engineers, fab technicians, EDA tool developers, compound semiconductor physicists and power electronics specialists. General job boards are largely ineffective for semiconductor hiring. The community is tight-knit, highly academic in its roots and concentrated around a small number of university groups, fab facilities and design centres. Specialist boards, academic channels and direct community engagement are the primary sourcing strategies that work. This guide, published by SemiconductorJobs.co.uk, covers where to advertise semiconductor roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Semiconductor Jobs UK 2026: What to Expect Over the Next 3 Years

Semiconductor Jobs UK 2026: roles, salaries and the hiring trends shaping UK semiconductor recruitment over the next three years — what to expect now. Semiconductors are the foundational technology of the modern world. Every smartphone, electric vehicle, data centre, medical device, satellite, and AI accelerator depends on them. And yet for much of the past decade, the strategic importance of semiconductor design and manufacturing was something that governments, investors, and employers took largely for granted — until supply chain crises, geopolitical tensions, and the insatiable compute demands of artificial intelligence made the vulnerability of global semiconductor supply chains impossible to ignore. The response has been significant and sustained. The UK's National Semiconductor Strategy, the US CHIPS Act, the EU Chips Act, and parallel investment programmes across Japan, South Korea, and Taiwan have collectively committed hundreds of billions of pounds to semiconductor research, design, and manufacturing capability. In the UK specifically, that investment is beginning to translate into real hiring — across compound semiconductor manufacturing, chip design, semiconductor equipment, advanced packaging, and the growing ecosystem of fabless design companies that are choosing Britain as their base. For job seekers, the semiconductor jobs market of 2026 represents an opportunity that is more commercially urgent, more geographically distributed, and more technically diverse than at any previous point in the sector's UK history. The roles being created span the full semiconductor value chain — from fundamental materials research and process engineering through chip design, verification, and the software that makes silicon useful. The candidates who will thrive over the next three years are those who understand where that value chain is being built, which technical areas are attracting the most investment, and how to position their skills at the intersection of the sector's greatest needs. This article breaks down what the UK semiconductor jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career at the leading edge of one of the most strategically important technology sectors in the UK economy.