Principal AI Developer Technology Engineer

NVIDIA
Reading, United Kingdom
Last month
Seniority
Lead
Posted
1 Apr 2026 (Last month)

We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

  • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

  • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • You have 15+ years of relevant experience in software development or research work.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

Ways to stand out from the crowd:

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

  • Excellent understanding of linear algebra.

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. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

Related Jobs

View all jobs

Principal AI Developer Technology Engineer

NVIDIA Bristol, United Kingdom

Principal AI Developer Technology Engineer

NVIDIA Reading, United Kingdom

Principal AI Developer Technology Engineer

NVIDIA

Principal AI Developer Technology Engineer

NVIDIA

Engineer

Ocado United Kingdom

Engineer

Ocado United Kingdom

Industry Insights

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

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

Advertising robotics jobs in the UK requires a different approach to most technical hiring. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics 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.

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

Robotics is having a moment that feels qualitatively different from the cycles of hype and disappointment that have characterised the sector in previous decades. The convergence of advances in AI, computer vision, battery technology, and hardware manufacturing has brought robotics to an inflection point — one where the gap between what robots can do in controlled laboratory conditions and what they can do in the unpredictable complexity of the real world is closing faster than at any previous point in the discipline's history. For job seekers, this inflection point is creating a jobs market that is expanding rapidly across a far wider range of industries and role types than robotics has historically occupied. Automotive and manufacturing remain significant employers, but they are now joined by logistics and warehousing, healthcare, agriculture, construction, defence, and the emerging category of humanoid robotics — each generating distinct hiring demand and drawing on overlapping but meaningfully different skill sets. The candidates who will thrive over the next three years are those who understand where the sector is heading — which application areas are scaling from pilot to production, which technologies are defining the architecture of modern robotic systems, and how the definition of a robotics career is evolving beyond the mechanical engineering core toward a much richer intersection of software, AI, and systems engineering. This article breaks down what the UK robotics 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 exciting technology transitions of the coming decade.

New Robotics Employers to Watch in 2026: UK and Global Companies Transforming Automation Careers

Robotics is moving rapidly from factory floors into healthcare, logistics, agriculture, autonomous systems, and consumer products. As automation becomes embedded in everyday life, companies are investing in robots that operate alongside humans, analyse environments in real time, and learn from data. In 2026, demand for robotics engineers, software developers, system integrators, and AI specialists continues to surge. For professionals exploring opportunities on www.RoboticsJobs.co.uk , understanding the employers that are scaling, winning contracts, securing investment, or expanding into the UK market is crucial. This article highlights top robotics employers to watch in 2026, spanning innovative startups, high‑growth scale‑ups, and established global technology leaders with strong UK presence.