Systems Research Engineer - GPU Programming - Remote

Overview

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications.

In Short

• Optimize and fine-tune GPU code for better performance.
• Collaborate with cross-functional teams to integrate GPU solutions.
• Stay updated on advancements in GPU programming.
• Strong background in GPU programming and parallel computing.
• Knowledge of ML/AI applications and models.
• Experience with performance profiling and optimization tools.
• Excellent problem-solving and analytical skills.
• Degree in Computer Science, Electrical Engineering, or equivalent.
• Contribute to co-design of efficient GPU architectures.
• Work closely with modeling and algorithm teams.

Requirements

• Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
• Knowledge of ML/AI applications and models.
• Knowledge of performance profiling and optimization tools for GPU programming.
• Excellent problem-solving and analytical skills.
• Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences.

Benefits

• Competitive compensation.
• Startup equity.
• Health insurance.
• Flexibility in terms of remote work.
• Other benefits.