Description
Senior Software Engineer - Embodied Intelligence Platform
Team: Data Collection Infrastructure
Location: Vancouver, BC
Commitment: Full-Time
Workplace Type: onsite
Your New Role and Team
Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is looking to hire a skilled and motivated Senior Software Engineer to join our Embodied Intelligence Platform team. Reporting to the team lead, you'll gain a comprehensive understanding of the design, architecture, and implementation of the data collection and machine learning systems that power our robots.
The best candidates for this role have proven experience in designing, building, and maintaining scalable full-stack systems. You'll be a valued contributor as you develop and operate the intuitive, high-performing data collection software and machine learning pipelines used to train our robotic systems.
Success Criteria
- Bring hands-on experience in designing, deploying, documenting, and maintaining full-stack web applications
- Gain cutting-edge career experience as you participate in deploying new software releases and collecting robotic systems data
- Achieve company-wide visibility as you partner with our machine learning researchers and hardware engineers to build world-class software solutions
Experience and Qualifications
- Bachelor's degree or higher in Computer Science or related fields, or equivalent practical experience
- 6+ years of experience as a Software/Backend Engineer
- 3+ years of experience as a Frontend Engineer
- Knowledge of professional engineering practices for the full product life cycle, including coding standards, code reviews, source management, agile processes, testing, and operationsDemonstrated ability to design, implement, and test in a fast-paced environment
Required Skills
- Proficiency in a backend programming language; Python experience is preferred
- Experience with TypeScript
- Experience with React
- Familiarity with PostgreSQL and Redis
- Experience with Docker and Kubernetes
Preferred Skills
- Experience with Django and Django REST Framework
- Experience with Next.js
- Experience deploying applications on Kubernetes, preferably in cloud environments
- Experience with S3-compatible object storage
- Familiarity with WebSockets
- Experience with ML experiment tracking platforms
- Familiarity with observability tools such as Grafana
- Interest in or exposure to ROS 2 or robotics data formats
Traits
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives
- Successful candidates will be a proponent of personal responsibility for themselves and their teammates
- Empathic listener who is solution-oriented in both work and working relationship
- Consistent bias for action, effective communication, and building positive interpersonal relationships
- Self-motivated and able to solve problems independentlyMission-driven and passionate about bringing physical artificial intelligence to general purpose robots
Working at Sanctuary
Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
Compensation and Benefits
Sanctuary AI offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.
About Sanctuary
Founded in 2018, Sanctuary AI builds humanoid robots and a novel control system for them that integrates symbolic logic and reasoning with data-driven robot foundation models. We use our robots to collect vision, audio, touch, and proprioception data from the perspective of the robot while they perform real-world work tasks. We use that data to train multimodal robot foundation models. Because our systems are vertically integrated, we can design, deploy, and refine at scale. Our mission is to create the world's first human-like intelligence in general-purpose robots.
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