Robotics Infrastructure Engineer

True; Pittsburgh (Allegheny County); On-site; USD 100,000 - 300,000; Full time

Job summary

Unknown Robotics Co. seeks an experienced robotics edge-to-cloud engineer to develop and maintain production-grade C++ and Go software for robotic platforms, spanning on-device and cloud systems.

You will design secure, low-latency data pipelines, implement OTA update mechanisms for field deployments, and build telemetry, logging, and dashboards for fleet observability in real deployments. Collaboration with hardware and software teams is essential.

Qualifications

• 3 to 10 years of robotics or IoT infra engineering experience.
• Production-grade C++ and Go skills with experience building systems from scratch.
• Experience building edge-to-cloud pipelines for robot or IoT fleets and deploying OTA updates.
• Experience with fleet telemetry, monitoring, alerting, and dashboards.
• Cloud infrastructure experience with AWS or GCP, Terraform, and Docker.
• Familiarity with MQTT, gRPC, or WebSockets.
• Ability to lead cross-functional projects in a fast-moving environment.
• A bachelor's or master's degree in CS or a related field is a plus.

Responsibilities

• Develop and maintain production-grade C++ and Go software for robotic platforms.
• Build on-device systems for robotics software integration, local data buffering, and edge communications.
• Design and operate secure, low-latency data pipelines between robot fleets, cloud infrastructure, and web platforms.
• Build OTA update mechanisms for safe, reliable deployment of software to robots in the field.
• Develop telemetry, logging, alerting, monitoring, and fleet dashboard tools across device and cloud systems.
• Improve reliability, performance, resource usage, resilience, and uptime under real-world deployment conditions.
• Collaborate across hardware and software teams to support fleet-scale features and infrastructure.

Skills

C++

Go

edge-to-cloud pipelines

telemetry

ops for robotics

Education

Bachelor's degree in CS or related field

Master's degree in CS or related field

Tools

AWS

GCP

Terraform

Docker

Job description

ABOUT THE ROLE

Build the edge-to-cloud infrastructure that connects, manages, updates, and monitors deployed robot fleets. You will work across on-device software, cloud systems, and fleet observability, partnering with robotics, autonomy, hardware, deployment, and web product teams to enable reliable capabilities powered by real-time robot data.

WHAT YOU'LL DO

• Develop and maintain production-grade C++ and Go software running on robotic platforms.
• Build on-device systems for robotics software integration, local data buffering, and edge communications.
• Design and operate secure, low-latency data pipelines between robot fleets, cloud infrastructure, and web platforms.
• Build OTA update mechanisms for safe, reliable deployment of software to robots in the field.
• Develop telemetry, logging, alerting, monitoring, and fleet dashboard tools across device and cloud systems.
• Improve reliability, performance, resource usage, resilience, and uptime under real-world deployment conditions.
• Collaborate across hardware and software teams to support fleet-scale features and infrastructure.

WHAT WE'RE LOOKING FOR

• 3 to 10 years of experience in robotics or IoT infrastructure engineering, including embedded or edge-device work and cloud systems.
• Production-grade C++ and Go skills, with experience building systems from the ground up.
• Experience building edge-to-cloud pipelines for robot or IoT fleets and deploying OTA update systems.
• Experience with fleet telemetry, monitoring, alerting, and dashboards.
• Cloud infrastructure experience with AWS or GCP, Terraform, and Docker.
• Familiarity with networking protocols such as MQTT, gRPC, or WebSockets.
• Ability to lead cross-functional projects and work effectively in a fast-moving, ambiguous environment.
• A bachelor's or master's degree in computer science or a related field is a plus.

COMPENSATION & BENEFITS

Base salary: $100,000 to $300,000 annually.

Visa sponsorship is not available.

LOCATION

On-site in Pittsburgh, Pennsylvania, United States.