Senior Application Engineer

NVIDIA
United Kingdom
Last month
Seniority
Senior
Posted
24 Feb 2026 (Last month)

NVIDIA is seeking Senior Application Engineer for technical collaboration on Materials and Chemical Discovery using AI. Sr Application Engineers are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and AI Models. An ideal candidate is someone who is entrepreneurial, self-motivated, creative and passionate about bringing the latest techniques to customers who want to accelerate the discovery of novel materials using Predictive AI or Generative AI. Discovery of new materials and chemicals is one of the core workloads across a broad range of customers including supercomputing, higher education, manufacturing, semiconductors, agriculture, etc.

As a Sr. Application Engineer, you will be part of the team comprising Product Managers and Strategic Alliance Partners and working with customers.

What you will be doing:

  • Work directly with developers and researchers who are building, fine-tuning or optimizing AI models for Chemistry and Material discovery.

  • Collaborate with publishers of open-source applications, datasets, frameworks used for AI Driven Chemical and Materials discovery and display their ability to use NVIDIA ALCHEMI.

  • Profile, benchmark and suggest optimization strategies to developers building AI models and Agentic AI workflows for discovering novel materials and formulations.

  • Present at workshops as the domain expert.


What we need to see:

  • Degree in Chemistry, Material Science or related field (Ph.D. or Masters preferred) or equivalent experience.

  • 4+ years of experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.

  • Proven ability to benchmark and compare domain specific AI Models for Materials discovery.

  • Strong written and oral communication skills with the ability to effectively articulate the value proposition to technical and non-technical audiences


Ways to stand out from the crowd:

  • Experience with using AI frameworks e.g PyTroch, JAX

  • Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.

  • Knowledge about NV GPU and CUDA- X libraries.

Related Jobs

View all jobs

Senior Application Engineer

Luminance Cambridge, United Kingdom
Hybrid

Senior Application Engineer

NVIDIA

Senior HPC Performance Engineer

NVIDIA Germany

Senior HPC Performance Engineer

NVIDIA

Senior HPC Performance Engineer

NVIDIA

Senior HPC Performance Engineer

NVIDIA

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

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

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.