Motional
Principal Engineer, Data & ML Infrastructure
$200K–$275K
Boston, Massachusetts, United States +5 · Remote · Principal · Full-time · Posted Aug 15, 2025
- Location
- Boston, Massachusetts, United States
Pittsburgh, Pennsylvania, United States
Remote U.S.
Boston, Massachusetts, United States
Pittsburgh, Pennsylvania, United States
Remote U.S. - Education
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Visa sponsorship
- All newly-hired employees are queried through E-Verify to verify their identity and employment eligibility.
About the job
Leads development and scaling of cloud-based orchestration and data analysis infrastructure for evaluating autonomous-driving ML models and software changes.
What you'll do
- Research data warehousing frameworks and maintain reliable, fault-tolerant, cost-efficient orchestration systems.
- Own data analysis workflows that identify impacts of changes to ML models and software.
- Set technical direction, mentor engineers, and manage project execution.
What they ask for
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proficiency in Go (Golang) and Python.
- Hands-on experience building production infrastructure on a public cloud (AWS, GCP, or Azure) and managing containerized workloads at scale using Kubernetes (K8s).
- Experience with large-scale data processing and distributed computing technologies.
Nice to have
- Ph.D. in Computer Science or a related field.
- Experience with OLAP databases, autonomous-driving machine learning, large-scale orchestration, or machine learning, data mining, and statistical analysis.
Pay
$200,000 — $275,000 USD (base salary)
Tools
Go (Golang), Python, AWS, GCP, Azure, Kubernetes (K8s), ClickHouse
AI focus
Supports simulation, evaluation, and analysis of autonomous-driving ML models; detects model errors, anomalies, rare objects, and long-tail driving scenarios.
Model-written summary · the original posting is authoritative