Opening. This role is a key contributor in working to build out Scale’s robotics fleet and software systems for collecting data and performing evaluations.
What you'll do
You will:
- Develop systems for collecting data from various robotics embodiments and collection modalities
- Design and build hardware for retrofitting robots and building custom collection modalities
- Contribute to the development of pipelines and tooling to support robotics initiatives
- Own hardware and software integrations for various robots
- Partner with cross-functional stakeholders to scale up data services
- Provide technical support for data collection operations and execute on pilots to stand up new workflows
- Become a subject matter expert on all capabilities of the robotics labs
- Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, computer vision, machine learning, and other autonomy-adjacent concepts
What you need
You have:
- Strong engineering background, preferably in Computer Science, Mathematics, or other Engineering fields
- 3+ years of experience developing with Python, C++, Java and/or other scripting language
- 1-3 years of experience in hardware labs or a manufacturing environment
- 1-3 years of experience in mechanical design and comfort with CAD
- Hands on experience in robotics, AI, and computer vision
- Experience building and/or maintaining lab networks and data pipelines
- Experience running large-scale data collection and controlled experiments
- Experience managing risk and operating robots safely
- Strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership
- High level of comfort communicating effectively across internal and external organizations
- Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy
Why this matters
This role will be a key contributor to the development of Scale’s robotics fleet and software systems, enabling the company to collect high-quality data and perform evaluations. The successful candidate will have the opportunity to work on a wide range of projects, from developing new hardware and software systems to integrating existing systems and providing technical support for data collection operations.
