Hybrid Tech Lead Manager, Fleet Management

at Collaborative Robotics

• Job title: Tech Lead Manager, Fleet Management
• Job type: Full Time
• Experience level: Senior
• Salary: $215,000 - $245,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, Docker, Google Cloud Platform, GraphQL, GRPC, Kafka, Kubernetes, Python, Rust
• Location requirements: Hybrid, Santa Clara, United States

About the role

• Tech Lead Manager, Fleet Management leading the architecture and development of off-robot software systems for Cobot. Collaborating with teams to ensure scalability and reliability in data management and operations.

Responsibilities

• Lead the architecture and development of our off-robot software stack — including fleet management services, telemetry ingestion, and customer-facing APIs.
• Design and implement APIs and SDKs for integration with external systems, partner portals, and data analytics platforms.
• Develop the cloud platform for robot lifecycle management — including provisioning, configuration, health monitoring.
• Ensure reliability and observability across the fleet through robust logging, monitoring, and alerting systems.
• Collaborate with autonomy and operations teams to define data flows between robots and backend systems, ensuring low latency and high availability.
• Guide the design of the data pipeline for real-time and historical analysis, enabling insights into robot performance, utilization, and behavior.
• Mentor and lead engineers fostering a culture of reliability and technical excellence.
• Contribute to system security and compliance, ensuring data integrity, access control, and resilience against failures.
• Represent the off-robot platform in cross-functional discussions, aligning long-term technical strategy with product and business goals.

Requirements

• Bachelor’s degree in Computer Science or a related technical field.
• 5+ years of experience working within engineering teams.
• Experience in Rust, Python, c++ or willingness to learn other languages.
• Expertise in cloud infrastructure (AWS, GCP, or Azure) — including compute orchestration, networking, and data storage.
• Proven ability to design and maintain high-availability distributed systems with strong observability (metrics, logs, tracing).
• Deep understanding of API design (REST, gRPC, or GraphQL) and secure data exchange between systems.
• Familiarity with real-time or near-real-time messaging frameworks (MQTT, Kafka, Pub/Sub, or WebSockets).
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployment practices.
• Strong foundation in data modeling, telemetry pipelines, and analytics integration.
• Excellent communication and leadership skills, with the ability to collaborate across hardware, autonomy, and operations teams.
• Willing to occasionally travel.
• Must have and maintain US work authorization.

Benefits

• Equity
• Comprehensive benefits