Robotics Solution Architect – DNN Training and Vision-Language-Action Models

NVIDIA; York and North Yorkshire; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI technology firm in the UK is seeking a Solutions Architect specializing in Multimodal AI to provide expertise and guidance in robotics and decision-making technologies. The ideal candidate will possess deep knowledge of Vision-Language Models and experience collaborating across various teams. A competitive salary and comprehensive benefits package are offered.

Benefits

Highly competitive salaries

Comprehensive benefits package

Qualifications

• Expertise in training or optimizing Vision-Language Models for production.
• 5+ years' experience in software development including Python or C++.
• Excellent communication skills in English.

Responsibilities

• Serve as primary technical expert for AI solutions.
• Build proof-of-concepts showcasing NVIDIA AI platforms.
• Collaborate with engineers and clients to integrate technology.

Skills

Multimodal AI expertise

Vision-Language Models

Deep Learning

Python

C++

Communication skills

Education

MS/PhD in Computer Science

Tools

PyTorch

TensorRT

Triton Inference Server

Job description

NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with expertise in Multimodal AI, with a strong background in Vision‑Language Models (VLMs), and understanding of their implications for "Physical AI" which is redefining industries such as robotics, manufacturing, and healthcare by combining perception and language with decision‑making.

The ideal candidate is an AI specialist with a deep understanding of vision language models and desire to reapply those skills in robotics. If you have a passion for vision‑language‑action models, large‑scale pretraining, robotic data curation, and post‑training using supervised fine‑tuning and reinforcement learning, this is a position for you!

What you will be doing:

• Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/guidance on training process in terms of tools and methodology.

• Build proof‑of‑concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics.

• Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology.

• Work with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof‑of‑concept evaluations.

What we need to see:

• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.

• Deep expertise in AI/Deep Learning, with hands‑on experience in training or optimizing VLMs for production.

• Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server).

• Excellent verbal, written communication, and technical presentation skills in English.

• 5+ years' work or research experience with Python/ C++ / other software development.

• AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights.

Ways to Stand Out from The Crowd:

• Familiarity with Cosmos (e.g. Cosmos-Reason) and Isaac GR00T family of models.

• Familiarity with robotics simulation environments (Isaac Sim, Isaac Lab, MuJoco, etc.).

• Experience in large scale training / understanding of modern model, data, expert, context parallel training techniques.

• Track record in Neural Networks inference optimization for Physical AI use cases.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/

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.