Collaborative Robotics

Tech Lead Manager, Fleet Management

Collaborative Robotics

full-time

Posted on:

Location Type: Hybrid

Location: Santa Clara • California, Washington • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $215,000 - $245,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGraphQLGRPCKafkaKubernetesPythonRust

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
RustPythonC++cloud infrastructureAWSGCPAzureAPI designdata modelingtelemetry pipelines
Soft skills
communicationleadershipcollaborationmentoringtechnical excellence