GPU Engineer

Job not on LinkedIn

🔥 6 hours ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 12%

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.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KOG

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51 - 200 employees

Founded 1994

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🏭 Manufacturing

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Logistics • Manufacturing • Automotive

Kamal Osman Group is an Egyptian family-owned company founded in 1994. Over the past 30 years, it has evolved into a renowned brand known for its efficiency and innovation, generating over one billion Egyptian pounds in annual revenue by 2022. The group specializes in the distribution of automotive lubricants, representing both global and local brands. It serves both B2B and B2C markets and emphasizes innovation and diversity to maximize value for clients and communities. The company aims to enhance the customer experience through continuous investment in workforce development and long-term partnerships, aspiring to lead the automotive lubricants sector in Egypt with a commitment to quality and reliability.

📋 Description

• Develop and optimize GPU kernels using C++, CUDA, HIP, and low-level instructions • Investigate GPU architecture, memory access, synchronization, and execution bottlenecks • Profile and benchmark workloads to identify and validate performance improvements • Optimize inference operations and communication across multiple GPUs • Implement and optimize new AI models on NVIDIA and AMD GPUs • Help build AI agents for GPU engineering, enabling automated code optimization, correctness testing, benchmarking, and iterative improvements • Take ownership of technical decisions and their implementation

🎯 Requirements

• Strong hands-on experience developing and optimizing GPU kernels, ideally using CUDA C++ or HIP/ROCm • Deep understanding of GPU architecture, memory hierarchy, parallel execution, and performance bottlenecks • Strong C++ skills and experience profiling and benchmarking GPU workloads • Proven ownership of challenging technical projects, from implementation to measured results • Interest in developing AI agents and tools to accelerate GPU engineering • Experience with PTX, CDNA ISA, multi-GPU systems, low-latency inference, or GPU performance portability is particularly valuable • A PhD in HPC, computer science, or a related field is a plus when backed by substantial engineering work • Candidates must already be based in Paris or elsewhere in Île-de-France • Availability to join the team quickly

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