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Compiler Engineer - AI Inference @ Nvidia

Station Road 10, CambridgeOnsiteFull-time
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About this role

Salary: £63,000 - 103,000 per year

Requirements: BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experienceA PhD is strongly preferred3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placementDemonstrated, hands-on experience working with MLIRExceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test designStrong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environmentHands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architecturesDeep understanding of Large Language Model (LLM) inference and its implications on computer architectureDemonstrated understanding in designing and architecting comprehensive compiler frameworks from the ground up Responsibilities: Drive technical innovation through hands-on development focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUsSolve complex compilation problems for AI workloads, including inference and training, and transition these breakthroughs into enterprise and consumer productsPartner with experts across software, hardware, and research divisions to architect and co-design future siliconParticipate in the advancement and optimization of datacenter-scale AI workload deployments Technologies: AIArchitectHardwareLLMPython More:

We are NVIDIA, the AI computing company, building technology that powers the next generation of computing. We offer competitive salaries and a generous benefits package, and we are widely considered one of the technology worlds most desirable employers. Our engineering teams are rapidly growing due to unprecedented growth, and we are looking for creative, autonomous engineers with a passion for technology. This is a full-time role based in the UK, with remote options and Cambridge listed as a location.

last updated 36 week of 2026

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