Lead business development and delivery for AI-driven simulation software within aerospace and defense, driving customer acquisition, shaping go-to-market strategy, and managing technical execution. Engage with senior engineering leaders, scope and deliver high-impact projects, and translate customer needs into product evolution. This hybrid role blends strategic sales with hands-on technical leadership and regular travel to customer sites.
This role involves building and running high-fidelity CFD simulations from geometry preparation to post-processing for moderately complex engineering cases. You'll work at the intersection of CAE and data science, supporting the development of AI-driven simulation models and contributing to automated workflows on cloud and HPC platforms. The position includes customer collaboration, model adaptation for deep learning surrogates, and occasional international travel to support on-site engagements.
This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) by providing technical guidance, enabling integrations, and fostering co-innovation. The person will work closely with developer teams and ISV partners to optimize solutions using NVIDIA technologies like CUDA and Triton, while translating field feedback into product roadmap insights. Key responsibilities include leading technical workshops, developing enablement resources, and collaborating across engineering, product, and marketing to scale developer engagement in emerging tech domains.
This role focuses on growing NVIDIA's developer ecosystem in manufacturing by supporting developers, ISVs, startups, and enterprises across EMEA. You'll design technical enablement materials, guide integration of NVIDIA platforms, and act as a bridge between the manufacturing community and internal engineering teams. The position emphasizes real-world AI applications such as robotics, digital twins, and computer vision in industrial settings.
This role focuses on growing NVIDIA's developer ecosystem in the manufacturing sector by enabling developers, ISVs, startups, and system integrators to adopt NVIDIA’s AI and accelerated computing platforms. The individual will design technical enablement materials, support solution integration, and act as a bridge between the manufacturing developer community and internal engineering and product teams. Key use cases include robotics, digital twins, simulation, computer vision, and predictive maintenance in industrial environments.
This role involves engaging with developers, software vendors, and industrial enterprises across EMEA to drive adoption of NVIDIA’s AI and accelerated computing platforms in manufacturing. You'll design technical enablement materials, support partners in integrating NVIDIA technologies, and act as a bridge between the developer community and internal engineering teams. The position focuses on use cases like robotics, digital twins, computer vision, and predictive maintenance in industrial environments.
This role involves engaging with developers, software vendors, and industrial enterprises across EMEA to drive adoption of NVIDIA's AI and accelerated computing platforms in manufacturing. The individual will develop technical content, deliver workshops, and support partners in implementing solutions for robotics, digital twins, simulation, and industrial AI. They will also act as a bridge between the developer community and NVIDIA's engineering teams to influence product development.
This role involves driving adoption of NVIDIA's AI and accelerated computing platforms within the manufacturing sector across EMEA. You'll work directly with developers, ISVs, startups, and industrial enterprises to build solutions in robotics, digital twins, computer vision, and predictive maintenance. The position focuses on technical enablement through workshops, reference architectures, and co-innovation, while bridging developer feedback to internal product and engineering teams.
This role involves leading the design, development, and deployment of advanced AI solutions to enhance operational efficiency and support business growth. You will collaborate with senior stakeholders, guide technical direction, and mentor a team of engineers while ensuring systems are secure, scalable, and compliant.
Conduct research in AI-driven turbomachinery design by developing machine learning frameworks integrated with computational fluid dynamics (CFD). Perform numerical simulations, analyse performance data, and collaborate with academic and industrial partners to advance sustainable engineering solutions. Work within Imperial College London’s Thermofluids Division on a Mitsubishi-funded project aimed at transforming design innovation in energy and transportation systems.
This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.
Design and develop client-facing web applications that visualize insights from data science and machine learning models, collaborating with cross-functional teams in government and public sector projects. Build and maintain reusable frontend components and drive best practices across the organization. Work within secure environments requiring UK Security Clearance, with a focus on scalable, well-tested React and TypeScript applications.
This role involves partnering with academic and research institutions to advance the use of NVIDIA's accelerated computing and AI technologies. The Solutions Architect will guide researchers in integrating NVIDIA's software stack and hardware platforms into high-impact scientific projects, deliver technical training, and translate research needs into product feedback. The position requires deep expertise in multimodal AI, robotics, and large-scale GPU systems, with a strong emphasis on collaboration, prototyping, and thought leadership in the research community.
A Principal Designer will lead the development of product and service design disciplines within Faculty’s Applied AI division, delivering high-impact client projects while building design capability from the ground up. The role combines strategic client engagement with executive-level consulting, shaping multidisciplinary teams and embedding human-centred design in AI solutions. This position bridges technical AI outputs with real-world commercial outcomes across government, finance, retail, and other sectors.
Lead the Product Engineering group within AI Engineering, defining technical vision and strategy to deliver production-level autonomous vehicle capabilities using advanced AI models. Drive data-centric approaches and eval-driven development to meet KPIs across multiple OEM partnerships. Build and mentor engineering teams focused on Driving, ADAS, Parking, and HMI systems while establishing robust ML practices and scalable data pipelines.
