Job Description

Machine Learning Engineer - CUDA / GPU Optimization

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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!

Accessibility Statement

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• We make an active choice to be inclusive towards everyone every day.
• Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment To Diversity, Equity, And Inclusion

Signify’s mission is to empower every person, regardless of their background

or circumstances, with an equitable chance to achieve the careers

they deserve. Building a diverse future, one placement at a time.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Staffing and Recruiting

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