Compiler Engineer – AI Inference

🕒 August 14

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 28%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 91 days.
• Jobs at this company usually fill in 36 days.
• No salary listed.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Drive technical innovation through hands-on development focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs • Solve complex compilation problems for AI inference and training workloads and transition breakthroughs into enterprise and consumer products • Partner with software, hardware, and research experts to architect and co-design future silicon • Advance and optimize datacenter-scale AI workload deployments

🎯 Requirements

• BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience • 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement • Demonstrated, hands-on experience working with MLIR • Exceptional C/C++ and Python programming and software design skills • Rigorous debugging, performance analysis, and test design skills • Strong communication and interpersonal skills with the ability to collaborate effectively in a dynamic, fast-paced, product-oriented environment • Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures • Deep understanding of Large Language Model inference and its implications on computer architecture • Understanding of designing and architecting comprehensive compiler frameworks from the ground up

🏖️ Benefits

• Competitive salaries • Generous benefits package

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