Together AIRemote
Systems Research Engineer, GPU Programming
United States
Full-time
5 days ago
$160,000 - $230,000 USD
H1B Sponsor Likely
Key skills
GPU programmingParallel computingCUDATritonML/AI applicationsPerformance profilingAnalytical skillsComputer Science degreeElectrical Engineering degreeProblem-solving skillsAIArtificial IntelligenceML
About this role
Together AI is a research-driven artificial intelligence company focused on developing open and transparent AI systems. The Systems Research Engineer will be responsible for optimizing GPU-accelerated kernels and algorithms for ML/AI applications, collaborating with cross-functional teams to enhance AI system performance.
Responsibilities:
- Optimize and fine-tune GPU code to achieve better performance and scalability
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
- Stay up-to-date with the latest advancements in GPU programming techniques and technologies
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