GPU Kernel Engineer at Sciforium - ScoutJobs - The AI-curated global job board
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Posted 7 hours ago

GPU Kernel Engineer

SciforiumGPU Kernel Engineer

Perks & benefits

Medical InsuranceHealth InsurancePaid Leave

Requirements

5+ years GPU kernel development experience, Degree in CS, CE, EE, or Math, Proficiency in C++ and Python, Expertise in CUDA/ROCm, Experience with Triton or JAX Pallas, Knowledge of PTX and GPU ASM

Skills

CUDAROCmC#PythonTritonPyTorch

About the role

About the Company

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD, the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.

Responsibilities

  • Design, implement, and optimize custom GPU kernels using C++, PTX, CUDA, ROCm, Triton, and/or JAX Pallas
  • Profile and optimize end-to-end performance of ML operations for large-scale LLM training and inference
  • Integrate low-level GPU kernels into frameworks such as PyTorch, JAX, and custom internal runtimes
  • Develop performance models, identify bottlenecks, and deliver kernel-level improvements
  • Collaborate with ML researchers, distributed systems engineers, and model-serving teams
  • Work closely with hardware vendors (NVIDIA/AMD) to stay current on GPU architecture and toolchain improvements
  • Contribute to tooling, documentation, benchmarking suites, and testing frameworks

Requirements

  • 5+ years of industry or research experience in GPU kernel development or high-performance computing
  • Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Strong programming skills in C++ and Python
  • Deep expertise in CUDA/ROCm, GPU memory models, and performance optimization
  • Hands-on experience with Triton and/or JAX Pallas
  • Strong understanding of PTX, GPU ASM, and low-level GPU execution
  • Proven ability to integrate kernels into PyTorch or JAX
  • Experience working with large-scale LLM workloads

Preferred Qualifications

  • Experience with AMD GPUs and ROCm optimization
  • Familiarity with JAX FFI and custom ML operator development
  • Experience with efficient model serving frameworks like vLLM or TensorRT
  • Experience with TPUs, XLA, or similar accelerator programming environments
  • Contributions to open-source ML systems, compilers, or GPU kernels

Benefits

  • Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity
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GPU Kernel Engineer

Sciforium · San Francisco

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