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cloud computer vision machine learning firmware edge computingπ Description
- Lead teams of CV, sensor fusion, and ML engineers.
- Architect and improve hybrid cloud-edge ML solutions.
- Own end-to-end model lifecycle across edge and cloud: data, training.
- Partner with firmware, full-stack, and Platform teams for low-latency features.
- Hire and lead an inclusive, high-performing team; champion Samsara culture.
- Remote position open to Canada residents; travel up to 5%; relocation not provided.
π― Requirements
- BS or MS in Computer Science or other technical degree.
- 7+ years relevant AI systems experience.
- 6+ years relevant software engineering experience.
- 5+ years leading large software and science teams including senior ICs.
- Experience building and deploying large-scale ML systems with feedback loops.
- Comfortable leading full-stack/backend in addition to science/research.
π Benefits
- Flexible remote-friendly model with in-person offices as needed.
- Base salary, bonus, and equity (where eligible).
- Health and parental leave plans.
- Professional development stipend.
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