Director of Engineering, Physical AI

Scale AI
San Francisco
Workplace: OnsiteFull timeUSD 302,400 - 378,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Ownership","Communication","Operational excellence","Attention to detail","Independently navigating ambiguity"]

Lead the Physical AI Data Engine by driving a multi-disciplinary engineering organization spanning data collection infrastructure, teleoperation systems, ML training pipelines, evaluation frameworks, and annotation tooling. Own technical vision, set organizational structure and talent strategy, and ensure operational excellence. Partner with Operations and GTM on platform architecture and release processes, and collaborate with researchers and clients to deliver scalable, production-grade data infrastructure for complex robotics workloads.

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FursaFursa
Scale AI
Scale AI
1 month ago

Director of Engineering, Physical AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 28 minutes agoStatus: Live

Job Summary

Lead the Physical AI Data Engine by driving a multi-disciplinary engineering organization spanning data collection infrastructure, teleoperation systems, ML training pipelines, evaluation frameworks, and annotation tooling. Own technical vision, set organizational structure and talent strategy, and ensure operational excellence. Partner with Operations and GTM on platform architecture and release processes, and collaborate with researchers and clients to deliver scalable, production-grade data infrastructure for complex robotics workloads.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Set and drive technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research.
  • •Lead a multidisciplinary engineering organization while designing organizational structure, talent strategy, and culture to scale quickly without quality or strategic drift.
  • •Maintain technical and operational excellence by understanding deliverables, identifying slipping standards early, and knowing when to step in.
  • •Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities.
  • •Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure for complex robotics workloads.

Pay and Benefits

Salary: USD 302,400 - 378,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kLearning BudgetPaid LeaveRetirement BenefitsCommuter Benefits

Key Requirements

  • •Bachelor’s degree in Engineering, Robotics, Computer Science, or a related technical field.
  • •8+ years of engineering experience in fast-paced environments, including 4+ years direct people management.
  • •Experience leading technical execution for complex hardware-software systems in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning.
  • •Deep fluency in the ML development lifecycle, including training pipelines, data flywheels, and evaluation frameworks.
  • •Comfort leading teams across Python, C++, and TypeScript/Node, distributed systems, AWS/Kubernetes, and workflow orchestration (Temporal, Airflow).
Experience:8+ yearsRoboticsAutonomous vehiclesComputer visionMachine learningHardware-software systems
Education:Bachelor's in Engineering, Robotics, Computer Science
Skills:OwnershipCommunicationOperational excellenceAttention to detailIndependently navigating ambiguity
Languages:English
Tech Stack:PythonC++TypeScriptNodeAWSKubernetesTemporalAirflow

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn