Compiler Engineer – AI Inference

🕒 August 14

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

infoinfo

👻 Ghost score 15%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of NVIDIA

NVIDIA

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

Apply Now

Similar Jobs

🕒 August 7

gravity9

51 - 200

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Forward Deployed AI Engineer building production agentic AI systems for gravity9’s enterprise clients. Delivering retrieval, evaluation, cloud infrastructure, observability, and knowledge transfer.

🕒 August 6

SoSafe

201 - 500

💼 Consulting

🔒 Cybersecurity

📚 Education

Senior Fullstack Engineer building shared AI infrastructure for SoSafe's cybersecurity awareness platform. Developing agent runtimes, model routing, tooling and scalable AI platform services.

🕒 July 28

forgd.ai

11 - 50

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

Applied AI Architect helping enterprises adopt AI-native workflows with Anthropic. Leading technical engagement from demos to production capability.

🕒 July 27

Kraken Digital Asset Exchange

1001 - 5000

₿ Crypto

💸 Finance

💳 Fintech

AI Engineer building agent workflows and integrations for Kraken, a global crypto trading platform. Automating growth across paid media, lifecycle, content, CRO, and referrals.

🕒 July 27

GoCharting

11 - 50

💳 Fintech

☁️ SaaS

₿ Crypto

Senior Applied AI Engineer building and shipping AI agents for GoCharting's trading platform. Collaborating with Product and Engineering to integrate AI within the product for over 3M traders.