Systems Research Engineer, GPU Programming
Together AI5 months ago
Base Salary
$160k - $230k/yr
Responsibilities
- Optimize and fine-tune GPU code to improve performance and scalability.
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems.
- Stay current with advances 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 experience.
Benefits
- Competitive compensation, startup equity, health insurance, and other benefits.
- Flexible remote-work options.
- Full-time position.
Categories
About Together AI
Together AI builds an AI-native cloud platform for developers, offering high-performance inference, fine-tuning/model shaping, and large-scale pre-training on on-demand GPU clusters with APIs and managed services. It emphasizes open-source models that teams can run and adapt, and also provides infrastructure for decentralized and scalable workloads. Founded in 2022 and headquartered in San Francisco, it is privately held and reports notable customers including Cursor, ElevenLabs, Salesforce, and Zoom.