Senior Principal Engineer/Architect - ML Infrastructure jobs in United States
cer-icon
Apply on Employer Site
company-logo

Motional · 2 weeks ago

Senior Principal Engineer/Architect - ML Infrastructure

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. They are seeking a Senior Principal Engineer/Architect to lead the technical vision and architecture for their machine learning infrastructure, focusing on scalable storage and high-throughput systems for distributed training.

AutomotiveAutonomous VehiclesFleet ManagementInformation TechnologySoftware
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Own the architecture of Motional’s ML infrastructure, enabling scalable storage, curation, and access for 100+ engineers and researchers across autonomy teams
Design and evolve infrastructure to support petabyte-scale machine learning workflows, including multimodal perception data, synthetic data, simulation output, and continuous training pipelines
Architect high-throughput systems for distributed training on large GPU clusters, driving significant improvements in utilization, throughput, and job efficiency
Establish robust data governance, observability, and retention strategies to ensure compliance, reproducibility, and long-term data utility
Collaborate cross-functionally with ML engineers, autonomy researchers, data engineers, and DevOps to ensure tight integration between infrastructure and user workflows
Lead technical strategy and roadmap development for the ML Infra team, incorporating cutting-edge tools and best practices from industry and open source
Mentor and influence engineers across teams, promoting engineering excellence in distributed systems, ML platforms, and autonomy-scale data management

Qualification

ML infrastructure architectureDistributed systemsHigh-volume data pipelinesPythonC++Linux systemsData governanceCloud environmentsMentoringCollaborationTechnical leadership

Required

15+ years of meaningful software engineering experience, including significant architecture-level ownership in ML infrastructure
Proven experience leading the design of ML platforms that serve large-scale training and inference workloads
Deep technical fluency in distributed storage, high-volume data pipelines, and data compression strategies for ML use cases
Strong knowledge of Linux systems, Python, and C++ or similar performance-oriented languages
Experience operating in hybrid environments: bare metal, HPC, and public cloud (AWS/GCP/Azure)
Comfortable owning cross-org initiatives and influencing system-level design across autonomy, simulation, and platform teams

Preferred

Prior work in robotics, autonomous vehicles, or safety-critical domains strongly preferred
Experience building or leading infrastructure at a top-tier ML/AI company or AV program
Background contributing to open-source ML infrastructure projects

Benefits

Medical
Dental
Vision
401k with a company match
Health saving accounts
Life insurance
Pet insurance
And more

Company

Motional

company-logo
Motional offers an autonomous driving platform for robotaxi providers, fleet operators, and automotive manufacturers.

H1B Sponsorship

Motional has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (56)
2024 (111)
2023 (57)
2022 (110)
2021 (100)
2020 (7)

Funding

Current Stage
Late Stage
Total Funding
unknown
2024-05-03Acquired
2024-03-15Seed

Leadership Team

leader-logo
Laura Major
President and CEO
linkedin
leader-logo
Balajee Kannan
Vice President, Autonomy
linkedin
Company data provided by crunchbase