GPU Systems Research Engineer for High-Performance AI - Remote

Togetherai; San Francisco (CA); Hybrid; USD 160,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Startup equity

Health insurance

Remote work flexibility

Job summary

Togetherai, based in San Francisco, is seeking a Systems Research Engineer specialized in GPU Programming. The role focuses on optimizing GPU-accelerated kernels and collaborating with teams to enhance AI system performance.

Ideal candidates will possess a strong background in GPU programming, relevant degrees, and the ability to innovate in a fast-paced environment. This full-time position offers competitive compensation between $160,000 and $230,000, equity, health insurance, and benefits.

Qualifications

• Strong background in GPU programming and parallel computing.
• Knowledge of ML/AI applications and models.
• Knowledge of performance profiling and optimization tools.

Responsibilities

• Optimize and fine-tune GPU code for performance.
• Collaborate to integrate GPU solutions into software systems.
• Stay updated on advancements in GPU programming.

Skills

GPU programming

Parallel computing

CUDA/Triton

ML/AI knowledge

Performance profiling

Problem-solving skills

Analytical skills

Education

Bachelor's, Master's, or Ph.D. in Computer Science or Electrical Engineering

Job description

Togetherai, based in San Francisco, is seeking a Systems Research Engineer specialized in GPU Programming. The role focuses on optimizing GPU-accelerated kernels and collaborating with teams to enhance AI system performance.

Ideal candidates will possess a strong background in GPU programming, relevant degrees, and the ability to innovate in a fast-paced environment. This full-time position offers competitive compensation between $160,000 and $230,000, equity, health insurance, and benefits.