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About the Role

The Director of Engineering will lead a multi-disciplinary engineering organization responsible for the Physical AI Data Engine, the platform powering the next generation of Physical AI/Embodied AI. This role requires significant ownership in a fast-paced environment, collaboration with Operations and GTM to guide product direction, and solving the data bottleneck for robotics research and real-world deployment.

Responsibilities

Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research
Lead a multidisciplinary engineering organization, including managers, software engineers, ML engineers, and ML research scientists, while designing the organizational structure, talent strategy, and culture for rapid scaling without compromising quality or strategic alignment
Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely 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 tailored for complex robotics workloads

Requirements

Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
8+ years of engineering experience in fast-paced environments
4+ years direct people management experience with a demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid growth and change
Experience leading technical execution for complex hardware-software systems
Deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned
Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)
Proven ability to independently navigate and execute effectively amidst ambiguity
Strong attention to detail
Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences

Skills

Robotics
Autonomous Vehicles
Computer Vision
Machine Learning
ML development lifecycle
Python
C++
TypeScript/Node
Distributed systems
Cloud infrastructure (AWS, Kubernetes)
Workflow orchestration (Temporal, Airflow)

Location

San Francisco

Work Type

Full-time
Travel

Experience Level

8+ years of engineering experience
4+ years direct people management

Education Level

Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
MS or PhD is a plus

Salary/Compensations

$302,400—$378,000 USD

Benefits

Comprehensive health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend (potential)

About the Company

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

Equal Opportunity

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
We comply with the United States Department of Labor's Pay Transparency provision.