HPC Engineer

HPC Engineer About Vsora : VSORA is a French fabless semiconductor company delivering ultra-high-performance AI inference solutions for both data centers and edge deployments. Our proprietary architecture achieves exceptional implementation efficiency, ultra-low latency, and minimal power draw - dramatically cutting inference costs across any workload. Fully programmable and agnostic to both algorithms and host processors, our chips serve as versatile companion platforms.

A rich instruction set lets them seamlessly handle pure AI, pure DSP, or any hybrid of the two, all without burdening developers with extra complexity. To streamline development and shorten time-to-market, VSORA embraces industry standards: our toolchain is built on LLVM and supports common frameworks like ONNX and PyTorch, minimizing integration effort and customer cost. Based in the outskirts of Paris, France, the company was founded in 2015 by a team of highly qualified and accomplished AI/DSP experts and entrepreneurs.

Job brief : We are seeking a highly skilled and motivated HPC Engineer to lead the development of the AI/HPC software stack for Vsora’s chip family. This is a hands-on leadership role where you will join a team of talented engineers, drive architectural decisions, and contribute directly to the implementation of novel algorithms for Vsora multi-core system. You’ll be

the intersection of AI and HPC systems, helping shape the future of high-

performance AI workloads on Vsora hardware.

• Participate to the design and development of the AI inference stack for Vsora’s chip family
• Architect and implement advanced optimization techniques for multi-core system
• Collaborate with hardware architects, ML framework teams, and runtime engineers
• Drive performance analysis and tuning across ML models and benchmarks
• Stay current with trends in AI/HPC computing, ML frameworks, and hardware acceleration Requirements and skills :
• Strong C/C++ and Python programming skills
• Deep understanding of distributed computing, HPC implementation / optimization pipelines
• Hands-on experience with Mathematical, Linear Algebra and Signal Processing libraries (BLAS, LAPACK, FFTW, Eigen, …) implemented for distributed system
• Experience with performance tuning and low-level system optimization
• Familiarity with PyTorch, Tensorflow, ONNX or other ML frameworks
• Excellent communication and collaboration skills This is a plus :
• PHD in distributed system, HPC - massively parallel computing system
• Experience with NPU, GPU, or other AI accelerator architectures
• Background in machine learning or numerical computing
• Familiarity with software development tools (e.g., Git, CI/CD, profilers, debuggers) Contact : VSORA 13/15 rue Jeanne Braconnier Immeuble Le Pasteur 92360 Meudon-La-Fôret France Website : vsora.com Email : [email protected]

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