Staff Engineer & ML Acceleration Lead

Salary: $172,000 - 229,000 per year Requirements:

• We require a bachelors degree in computer science, a related technical discipline, or equivalent practical experience.
• We seek 8+ years of software engineering experience, including 5+ years focused on machine learning systems and model performance tuning.
• We need 3+ years in a technical leadership or management position, with a proven history of building and guiding high-performing teams.
• We value extensive experience with large-scale ML model training and deployment, ideally in a production setting.
• We expect strong knowledge of distributed systems and cloud platforms such as AWS, Google Cloud Platform, or Azure.
• We look for deep expertise in ML frameworks like PyTorch or JAX.
• We require proficiency in performance profiling and optimization methods for deep neural networks.
• We need strong programming ability in Python; C++ experience is a plus.
• We prefer familiarity with MLOps principles and practices.
• We look for exceptional leadership, communication, and interpersonal skills.
• We need the ability to attract, hire, and retain top engineering talent.
• We value a demonstrated track record of delivering complex technical initiatives from concept to completion.
• We seek strong problem-solving skills and a proactive, results-driven mindset.
• We expect the ability to thrive in a fast-paced, dynamic environment.

• We will build, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.
• We will provide technical direction, mentorship, and career growth support to team members.
• We will foster a collaborative and inclusive team culture.
• We will define team goals, priorities, and the roadmap in alignment with company objectives.
• We will set the technical vision and strategy for ML acceleration across our organization.
• We will identify and assess advanced technologies and approaches to speed up ML training, including data pipeline optimization, distributed training at scale, data loader improvements, hardware acceleration, and model optimization techniques.
• We will design, develop, and implement scalable, efficient ML acceleration solutions.
• We will partner closely with ML research, ML training platform, and product teams to understand their needs and integrate acceleration solutions smoothly.
• We will communicate complex technical ideas and strategies to technical and non-technical stakeholders.
• We will serve as a technical authority and advocate for ML acceleration initiatives across the company.
• We will measure and report on the impact of acceleration efforts on a regular basis.
• We will continuously look for opportunities to improve performance and drive innovation.

• AWS
• Azure
• Cloud
• Hardware
• Support
• Machine Learning
• MLOps
• Model Training
• PyTorch
• Python

More:

We are Motional, a driverless technology company working to make autonomous vehicles a safe, reliable, and accessible reality. Our mission is people first: we are building technology that improves road safety, expands transportation access, and strengthens the communities where we live and work. Our team includes engineers, researchers, innovators, dreamers, and doers, and we are committed to a progressive, global, diverse, and inclusive culture where people feel valued. We have delivered major milestones in autonomous mobility and are scaling toward commercialization. Formed as a joint venture between Hyundai Motor Group and Aptiv, we are headquartered in Boston with operations in the U.S. and Asia. This role offers a salary range of $172,000 to $229,000 USD, with possible bonus and equity, and eligible candidates may participate in our benefits program, which includes medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

last updated 33 week of 2026