Lead ML Training Optimizer for Scalable AI Systems

3M HEALTHCARE; San Francisco, Phoenix, Pittsburgh, Dallas (CA, AZ, Allegheny County, TX); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Waabi is seeking a highly skilled engineer to develop distributed training frameworks and optimize performance for research and production environments. You will profile runtime/memory, identify new technologies such as CUDA kernels and quantization, and collaborate with researchers to implement best practices for efficient resource usage.

You will also design and improve tooling and dashboards to promote broad adoption across teams, contributing to Waabi’s cutting-edge autonomous driving

Qualifications

• MS/PhD or Bachelor's with 4+ years in CS/Robotics or related field
• Strong coding skills in Python, C++, or Rust
• Experience with DL frameworks like PyTorch or JAX
• Experience profiling CPU/GPU using profiling tools
• Collaborative team player with passion for self-driving tech

Responsibilities

• Build standardized distributed training frameworks for research and production.
• Profile model runtime and memory to optimize performance.
• Evaluate emerging technologies for Waabi’s training/inference frameworks (CUDA kernels, quantization, deployment).
• Collaborate with researchers and ML engineers on best practices for resource usage.
• Create tooling and dashboards to drive broad adoption of work.

Skills

Python

C++

Rust

PyTorch

Nsight

Education

MS/PhD or Bachelor's with 4+ years experience

Tools

NVIDIA Nsight

PyTorch Profiler

CUDA

Bazel

Kubernetes

Job description

Waabi is seeking a highly skilled engineer to develop distributed training frameworks and optimize performance for research and production environments. You will profile runtime/memory, identify new technologies such as CUDA kernels and quantization, and collaborate with researchers to implement best practices for efficient resource usage.

You will also design and improve tooling and dashboards to promote broad adoption across teams, contributing to Waabi’s cutting-edge autonomous driving