Senior Machine Learning Engineer, Quantized Training

Details

We are now looking for a Senior Machine Learning Engineer for Quantized Training.

Responsibilities

• Review state-of-the-art literature in quantized training
• Build robust, reproducible, and portable training recipes
• Provide engineering support to customers using HW and SW approaches
• Collaborate closely with hardware, software, and research teams to assess and adopt deep learning algorithmic advancements in quantization
• Work with production SW teams to realize recipes in production workflows

Requirements

• Experience with PyTorch or similar frameworks such as jax/xla/etc
• Proficient in the math of machine learning
• Familiarity with FP8 for training
• Published research or significant contributions to the field of AI, particularly in algorithm development for hardware-software co-design
• PhD, M.S. degree or equivalent experience in Computer Science or a related field
• 5+ YoE working in ML / AI
• Strong written and oral communication skills
• Strong programming skills and ability to debug ML systems

Benefits

• You will also be eligible for equity and benefits. NVIDIA is widely considered to be one of the technology world’s most desirable employers. This opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. Do you love the challenge of influencing the long-term opportunities that expand NVIDIA’s impact on the datacenter and beyond? If so, we want to hear from you!