Machine Learning Engineer — GPU Kernel

United States·SunnyvaleFull-timemid

Machine Learning EngineerData

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Quick Summary

Overview

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research,

Technical Tools

Machine Learning EngineerData

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

The GPU Kernel Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.

This role focuses on CUDA kernel development and optimization. Distributed training experience is a plus.

Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization

Design and implement performance benchmarks and testing methodologies to evaluate application performance

Build tools to automate workload analysis, workload optimization, and other critical workflows

Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization

Support the team to develop appropriate kernels and systems for new model architectures and algorithms

Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.

Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.

Validate CUDA kernel outputs and gradients against reference implementations, and benchmark representative shapes, dtypes, and model workloads.

Strong C++ skills and hands-on CUDA kernel development and optimization for deep-learning workloads.

Understanding of GPU memory hierarchy, warp/block execution, and compute-memory trade-offs, with demonstrated profiling-driven optimization.

Strong Python skills and experience integrating kernels with PyTorch or an equivalent framework, including numerical and gradient validation where needed.

Experience with Triton, CUTLASS, or PTX/SASS analysis.

Experience with multi-node distributed training or inference systems.

Experience validating mixed-precision computations, such as BF16 or FP8.

What We Offer

~1 min read

$150,000 – $450,000/year + discretionary performance bonus + benefits

The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits.

✓Comprehensive medical, dental, and vision benefits

✓Bonus

✓401K Plan

✓Generous paid time off, sick leave and holidays

✓Paid Parental Leave

✓Employee Assistance Program

✓Life insurance and disability

Location & Eligibility

Where is the job

Sunnyvale, United States

On-site at the office

Who can apply

About this job

Pay per year: $150,000–$450,000 a year; 44% above the $208,500 median for Machine Learning Engineer jobs on Jobera (999 salaries).
Who can apply: United States
Posted: 29 days ago
Employer: has 43 open jobs on Jobera in 3 countries.