As a Solutions Architect, you will lead technical discovery with AI application wrapper partners, build reference architectures, and create proofs of concept using NVIDIA's stack. You will optimize agentic workloads, support multi-stage deployment paths, and develop reusable enablement assets.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the...
Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.
This role involves building and maintaining scalable Python libraries and tools that support machine learning engineers and researchers in training, evaluating, and scaling AI models. You'll work on creating robust abstractions for distributed training, data pipelines, and model evaluation workflows, with a focus on reliability, performance, and usability across large GPU clusters and cloud infrastructure. The position is embedded within an AI platform team driving autonomous driving technology development.
This role involves building AI and modelling products for M&A and advisory deals, working closely with senior bankers to translate their requirements into practical solutions. Responsibilities include developing generative AI, NLP, and statistical models, and delivering production-quality Python code.
Leads the end-to-end data strategy for autonomous driving AI, focusing on discovering and leveraging rare, safety-critical real-world driving data. Builds and scales global data systems across fleets, partners, and geographies to drive model performance improvements. Develops intelligent data selection, curation, and enrichment methods using embeddings, semantic search, and active learning.
This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.
This role involves conducting full-time empirical AI safety research over a 4-month period, aligned with Anthropic’s priorities such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows will work on a self-directed project with mentorship from senior researchers, aiming to produce a public output like a research paper. The program offers a structured environment with access to compute funding, a shared workspace, and integration into the broader AI safety research community.
This role involves designing, building, and maintaining business-critical internal applications and platforms, developing AI-enabled tools to improve operational efficiency, and working closely with operational, product, and business stakeholders to identify automation opportunities. The position offers significant autonomy and the chance to influence technology direction and development standards.
This role involves contributing to cutting-edge AI research for environmental resilience, specifically in weather and climate forecasting. The post holder will collaborate with leading researchers to develop next-generation AI models, support decision-making, and produce high-quality research outputs.
Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.
This PhD project focuses on optimizing the Tritium Breeding Ratio (TBR) in fusion breeder blankets using Monte Carlo neutronics methods and AI-enhanced predictive models. The research will involve collaboration with other researchers and doctoral students, and will explore both neutronics and thermomechanical aspects of fusion reactor design.
Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.
This role involves collaborating with the open-source community, implementing support for new AI models, scaling proxy infrastructure, and designing custom infrastructure for research projects. The team focuses on building tools and infrastructure for AI security and evaluation, working closely with researchers and government entities.
Leads high-impact AI projects in the defence sector, designing end-to-end data science solutions and robust software architectures. Mentors junior data scientists and collaborates with clients to translate complex problems into technical frameworks. Works on ethical, cutting-edge AI applications in high-stakes environments with a focus on delivery rigor and technical excellence.
