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The Director of Engineering will report to the General Manager of Physical AI and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment.
This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play.
Key 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—spanning engineering managers software engineers ML engineers and ML research scientists—while designing the organizational structure talent strategy and culture required to scale rapidly without compromising on 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
- 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 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 with 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 execute effectively amidst ambiguity and 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
- MS or PhD is a plus though strong practical experience is equally valued.
- Hands-on experience with teleoperation systems (ALOHA UMI hand tracking) robotic hardware platforms or imitation learning
- Background in sensor fusion SLAM or 3D data processing
- Experience scaling data collection systems globally
Compensation packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors including job-related skills experience qualifications interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including but not limited to: comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
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.
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. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Skills Required
- Bachelor's degree in Engineering Robotics Computer Science or related technical field
- 8+ years of engineering experience including 4+ years direct people management
- Experience leading technical execution for complex hardware-software systems
- Deep domain knowledge in Robotics Autonomous Vehicles Computer Vision and/or Machine Learning
- Deep fluency in the ML development lifecycle (training pipelines data flywheels evaluation frameworks)
- Comfortable leading teams across Python C++ and TypeScript/Node stacks distributed systems cloud infrastructure (AWS Kubernetes) and workflow orchestration (Temporal Airflow)
- Proven ability to navigate and execute effectively amidst ambiguity with strong attention to detail
- Strong operator and communicator able to align technical and executive audiences and drive decisions
- MS or PhD
- Hands-on experience with teleoperation systems robotic hardware platforms or imitation learning
- Background in sensor fusion SLAM or 3D data processing
- Experience scaling data collection systems globally
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
- Healthcare Strength—Healthcare coverage is described as comprehensive across medical dental and vision with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
- Equity Value & Accessibility—Equity-based compensation is included in eligible packages positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
- Leave & Time Off Breadth—Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.
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