Staff Technical Lead Manager – AI Data Engine

🕒 June 1

🏢🏡 Boston – Hybrid

💵 $172k - $229k / 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 data and infrastructure engineers focused on building out Motional’s Data Stack • Define team goals, priorities, and roadmap in alignment with company objectives • Provide technical guidance, mentorship, and career development opportunities to team members • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models • Identify and evaluate cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders

🎯 Requirements

• BS or MS in Computer Science or related field • 8+ years of professional experience in data platform engineering • 3+ years of experience in a technical lead or management role with 3-7 direct reports • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions • Strong programming skills in Python • C++ experience is a plus • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company

🏖️ Benefits

• Medical • Dental • Vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Bonuses