Principal Engineer – Tech Lead, ML Acceleration

🕒 January 29

🍂 Massachusetts, Pennsylvania – Remote

🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $240k - $330k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🚗 Transport

🤖 Artificial Intelligence

Transport • Artificial Intelligence • Automotive

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

• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration. • Provide technical guidance, mentorship, and career development opportunities to team members. • Foster a collaborative and inclusive team environment. • Define team goals, priorities, and roadmap in alignment with company objectives. • Define the technical vision and strategy for ML acceleration across the organization. • Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques. • Design, develop, and implement scalable and efficient ML acceleration solutions. • Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly. • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. • Act as a technical expert and advocate for ML acceleration initiatives across the company. • Regularly measure and report on the impact of acceleration efforts. • Continuously seek opportunities for further optimization and innovation.

🎯 Requirements

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience • 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, infrastructure, or performance optimization. • 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams. • Extensive experience with large-scale ML model training and deployment, ideally in a production environment. • Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure). • Deep expertise in ML frameworks such as PyTorch or JAX. • Proficiency in performance profiling and optimization techniques for ML workloads. • Strong programming skills in Python; C++ experience is a plus. • Knowledge of MLOps principles and practices.

🏖️ Benefits

• medical • dental • vision • 401k with a company match • health saving accounts • life insurance • pet insurance