Job Title: CUDA Machine Learning Engineer – GPU Optimization
Salary: $180,000 – $220,000 + equity
Location: New York City or San Francisco (on-site)

Responsibilities:

• Optimize generative ML models (e.g. video diffusion, 3DVAE) for GPU performance using CUDA
• Implement efficient GPU algorithms and identify performance bottlenecks in training and inference
• Collaborate with research and engineering teams to improve throughput on large-scale compute
• Ensure models run efficiently across various GPU architectures
• Stay up to date with latest advances in GPU programming and ML optimization

Requirements:

• Bachelor’s degree in CS, EE, or related field with focus on high-performance computing
• Strong skills in CUDA and C++ programming for GPU acceleration
• Experience with PyTorch or TensorFlow on GPU-based systems
• Solid understanding of parallel computing and GPU architectures
• Familiarity with generative ML models and performance debugging
• Startup experience and ability to thrive in a fast-paced environment

Benefits:

• Fully Covered Medical, Dental, and Vision Insurance
• Paid Time Off
• Parental Leave
• Free Lunches
• Team Building Events
• Collaborative Team environment

If you are interested in learning more about this position or any other roles we may have open, please apply today!

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