Software Engineering Manager – AI Data Engine

Job not on LinkedIn

🕒 September 16

🎰 Nevada, Massachusetts, +1 more states – Remote

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

💵 $172k - $229k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Build and lead a high-performing team of data and infrastructure engineers focused on 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 technologies and methodologies for speeding up data loaders for training, metrics ingestion, and querying large datasets for dashboards and training • Collaborate with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions • Communicate complex technical concepts and strategies to technical and non-technical stakeholders • Recruit, mentor, and grow a high-performing engineering team

🎯 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 managing large (petabyte plus) scale data platforms, including 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 • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance, including their tradeoffs • Strong knowledge of cloud infrastructure solutions and product offerings in AWS and GCP • Prior experience building data warehouses or lakehouse architectures at a machine learning or robotics company • C++ experience is a plus • Prior experience in autonomous vehicles is a plus • Prior experience with Bazel-based build systems is a bonus

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401k with a company match • Health savings accounts • Life insurance • Pet insurance • Bonus or company equity may be included as additional compensation • Hybrid schedule with in-office time at one of the company locations, or fully remote work • Career development opportunities and mentorship • Inclusive and diverse work environment

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