Software Engineer, Robotics & Autonomous Systems
Scale AIindustry
Software Engineer - Robotics & Autonomous Systems
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.
You Will:
- Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
- Build ML training and fine-tuning pipelines using Scale's robotics data
- Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
- Develop tools and systems for robotics data collection, teleoperation, and model evaluation
- Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
- Build real-time systems for robotic control, sensor fusion, and perception pipelines
- Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
- Collaborate with ML engineers and researchers to bring robotics research into production
- Deliver features at high velocity while maintaining system reliability and performance
Ideally, You Have:
- 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
- Strong programming skills in Python and TypeScript/Node.js for production systems
- Experience with React and modern frontend development for 3D interfaces
- Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
- Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
- Experience with databases (MongoDB, PostgreSQL) and data processing at scale
- Track record of working with cross-functional teams including ML engineers, researchers, and customers
- Strong communication skills and ability to operate with high autonomy
Nice to Haves:
- Experience with C++
- Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
- Background in computer vision, SLAM, motion planning, or imitation learning
- Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
- Experience with ML model deployment and serving frameworks
- Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
- Experience with workflow orchestration systems (Temporal, Airflow)
- Published research or open-source contributions in robotics or autonomous systems
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, Cisco, DLA Piper, 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 accommodations@scale.com. 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.