Machine Learning Systems Engineer

🕒 2 days ago

🎰 Nevada, Massachusetts, +1 more states – Remote

🎰 Nevada – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $144k - $192k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Join Motional’s ML Acceleration team developing core systems that enable researchers to train frontier models at scale • Profile and optimize data loading, gradient computation, and communication using tools such as Nsight and PyTorch Profiler • Implement kernel fusion, sharding, and tiling optimizations to improve training step time • Optimize distributed training pipelines using frameworks such as PyTorch Distributed • Design and maintain high-performance GPU kernels in Triton or CUDA • Optimize robust data-loading pipelines to maximize training throughput • Help scale distributed model training and reduce time-to-convergence for next-generation models

🎯 Requirements

• Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline • Strong proficiency in Python • Extensive hands-on experience with PyTorch • Experience optimizing machine learning model execution during training and inference • Strong understanding of fundamental machine learning concepts, architectures, and processes • Exceptional analytical and problem-solving skills • Data-driven approach to technical challenges

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401k with a company match • Health savings accounts • Life insurance • Pet insurance • Additional compensation may include a bonus or company equity • Inclusive and diverse work environment