GPU Systems Research Engineer - Remote & Equity

Together Computer Inc; Oregon; Híbrido; USD 200.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Startup equity

Remote-friendly

Descripción de la vacante

Together AI in Oregon seeks a Systems Research Engineer specialized in GPU programming to develop and optimize GPU-accelerated kernels and ML/AI algorithms. You will co-design kernels with modeling teams and collaborate with hardware and software groups to advance GPU architectures.

You will stay current with GPU programming advances and apply profiling and optimization techniques to boost performance and scalability across our AI infrastructure.

Formación

• Strong background in GPU programming and parallel computing.
• Experience with CUDA and/or Triton.
• Experience applying ML/AI models.
• Proficiency with performance profiling and optimization tools.
• Bachelor’s, Master’s, or Ph.D. in CS, EE, or equivalent.

Responsabilidades

• Optimize and fine-tune GPU code for performance and scalability.
• Collaborate with cross-functional teams to integrate GPU-accelerated solutions.
• Stay up-to-date with advancements in GPU programming techniques.

Conocimientos

GPU programming

CUDA/Triton

ML/AI applications

Profiling tools

Parallel computing

Analytical skills

Educación

CS/EE degree

Herramientas

CUDA

Triton

Nsight

Descripción del empleo

Together AI in Oregon seeks a Systems Research Engineer specialized in GPU programming to develop and optimize GPU-accelerated kernels and ML/AI algorithms. You will co-design kernels with modeling teams and collaborate with hardware and software groups to advance GPU architectures.

You will stay current with GPU programming advances and apply profiling and optimization techniques to boost performance and scalability across our AI infrastructure.