Latest Software Engineering Jobs

Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical strategies, create educational resources, support proofs of concept, and guide field deployments in areas like computer vision, generative AI, and digital twins. Emphasis is placed on translating public-sector challenges into scalable, AI-driven outcomes while advocating for product improvements based on real-world feedback.

NVIDIA

Remote Permanent Clearance Required

Solution Architect, Local Government AI

This role involves working closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, create educational resources, lead proof-of-concept initiatives, and support the implementation of AI workflows using NVIDIA's technologies. A strong focus is placed on computer vision, generative AI, and deep learning deployment in real-world government environments.

NVIDIA

Remote Permanent Clearance Required

Head of Banking

Leads the development and execution of AI-driven transformation programmes for major banking clients, shaping go-to-market strategy and building senior-level relationships. Focuses on turning AI pilots into enterprise-wide impact across front office, risk, and operations. Involves mentoring teams, guiding multidisciplinary delivery, and elevating Faculty’s industry profile in financial services.

Faculty London, United Kingdom

Hybrid Permanent

Senior Manager - PE

Leads private equity AI due diligence and value creation projects, serving as primary client and internal stakeholder liaison. Drives technical assessments of data assets, IP, and AI maturity for investment decisions, while mentoring cross-functional teams and identifying new business opportunities. Focuses on translating complex technical risks into strategic investment insights under tight transaction timelines.

Faculty London, United Kingdom

Hybrid Permanent

Senior Cloud Infrastructure and DevOps Solutions Architect

This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will engage with customers, partners, and cross-functional teams to architect and guide the implementation of complex infrastructure projects, focusing on Kubernetes, HPC, and AI workloads.

NVIDIA

Senior Cloud Infrastructure and DevOps Solutions Architect

This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect, implement, and optimize Kubernetes-based platforms and automation, focusing on open-source and heterogeneous environments.

NVIDIA

Senior Cloud Infrastructure and Network Operations Solutions Architect

This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and efficient network operations in large GPU estates.

NVIDIA

Senior Cloud Infrastructure and Network Operations Solutions Architect

This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and high-performance GPU clusters.

NVIDIA

Senior Cloud Infrastructure and Network Operations Solutions Architect

This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink/NVSwitch partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and efficient network operations in large GPU estates.

NVIDIA

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.

NVIDIA Cambridge, United Kingdom

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include technical advisory, hands-on training, prototyping, and translating research needs into engineering feedback.

NVIDIA United Kingdom

Senior Solutions Architect, Higher Education and Research

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.

NVIDIA United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations for NVIDIA's GPUs. You'll solve complex compilation challenges, collaborate on hardware-software co-design, and help scale AI workloads across datacenters. The position emphasizes innovation in MLIR-based frameworks and optimizing performance on cutting-edge GPU architectures.

NVIDIA United Kingdom