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Principal Engineer, Data & ML Infrastructure
MotionalBoston, MA · Remote · full time · Lead / Staff / Principal
$200,000 – $275,000
Listed on Motional’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This principal-level role leads a team building the large-scale data analysis and orchestration infrastructure that validates machine learning and software changes in autonomous vehicles before deployment. It suits experienced engineers comfortable with hands-on technical leadership, cloud infrastructure at scale, and the intersection of ML validation and distributed systems.
Our summary, not Motional’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- C++
- Data Mining
- Distributed Computing
- Go
- Kubernetes
- Machine Learning
- Microsoft Azure
- Python
- Statistical Analysis
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Leadership experience managing a small diverse team at scale
- Experience building production infrastructure on AWS, GCP, or Azure
- Kubernetes expertise managing containerized workloads
- Proficiency in Go, Python, or C++
- Experience with large-scale data processing and distributed computing
- Machine learning and statistical analysis expertise
Nice to have
- Ph.D. in Computer Science or related field
- OLAP database experience such as ClickHouse
- Machine learning experience in autonomous driving
- Error analysis and statistical techniques for model monitoring
- Publications or contributions to the AI/ML community