2 months ago
Palo Alto, CA, USAStaff+
Responsibilities
- Lead major initiatives spanning software, infrastructure, deep learning, and computer vision from ideation through production iteration.
- Make consequential architectural decisions balancing velocity, reliability, maintainability, performance, and cost.
- Prototype, code, and debug high-leverage problems across models, software, infrastructure, hardware, and data.
- Turn ambiguous goals into pragmatic designs, milestones, and clear ownership.
- Raise engineering effectiveness through technical direction, delegation, review, mentorship, and barrier removal.
- Own production outcomes with high autonomy and lead through technical judgment, communication, and example.
Requirements
- Deep expertise in either computer vision and deep learning or production systems and infrastructure.
- Demonstrated success building substantial technical systems alongside multiple engineers.
- A track record of making sound architectural decisions and pragmatically evolving complex systems.
- Significant recent experience designing systems, writing production code, and debugging difficult cross-system failures.
- Strong communication skills, especially when framing technical decisions and tradeoffs.
- Passion for learning and ability to work across different parts of the stack.
- Preferred experience includes leading engineers across machine learning and infrastructure, GPU systems, distributed systems, Kubernetes, AWS, MLOps, production computer vision, hiring or managing engineers while remaining technical, and significant open-source contributions or publications.
Benefits
- Gym membership reimbursement.
- Free lunch, healthy drinks, and snacks every day.
- Medical, dental, and vision insurance with 100% paid premiums.
- Flexible schedule.
- Budget for hardware or software that improves effectiveness.
- Regular technology talks on computer vision, deep learning, and engineering.
- Equal-opportunity work environment.
Tech Stack
Categories
About Matroid
Matroid builds an end-to-end computer vision platform that lets enterprises create and deploy video detection models to find objects, actions, and events without additional programming. It supports real-time monitoring and integrates with VMS, MES, and PLC systems to drive automated responses. The privately held company, founded in 2016 and headquartered in Palo Alto, serves manufacturing, industrial IoT, government, and security markets, offering enterprise software with implementation and ongoing support services.