Robotics Infrastructure Engineer

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

Job summary

True Talent Solutions Partners is seeking an experienced engineer to build edge-to-cloud infrastructure for robotic fleets. You will develop production-grade C++ and Go software on on-device platforms and design secure data pipelines between robots, cloud services, and dashboards.

On-site in Pittsburgh, you will collaborate with robotics, hardware, deployment, and web teams to improve uptime, enable OTA updates, and enhance fleet observability with telemetry and dashboards.

Qualifications

• 3–10 years of robotics or IoT infra engineering.
• Production experience with C++ and Go on embedded/edge devices.
• Experience building edge-to-cloud pipelines and deploying or managing OTA updates for device fleets.
• Experience developing fleet observability, including telemetry, monitoring, alerting, or dashboards.
• Cloud infrastructure experience with AWS or GCP, Terraform, and Docker.
• Familiarity with networking protocols such as MQTT, gRPC, or WebSockets.
• Experience leading cross-functional projects; robotics or IoT startup experience is a plus.
• A bachelor’s or master’s degree in computer science or related field is a plus.

Responsibilities

• Develop production-grade C++ and Go software for robotic platforms.
• Build on-device systems for robotics software integration and edge communications.
• Design secure, low-latency data pipelines between robots, cloud, and web platforms.
• Build and operate OTA update systems for robots deployed in the field.
• Develop telemetry, logging, monitoring, alerting, and fleet dashboards.
• Optimize edge software for reliability, performance, and resource use.
• Collaborate across hardware and software teams to deliver fleet-scale capabilities and uptime improvements.

Skills

Robotics/IoT infra experience

C++

Go

Edge-to-cloud pipelines

OTA updates

Fleet observability

AWS/GCP

Terraform

Docker

Networking protocols (MQTT, gRPC, Webs

Cross-functional leadership

Education

Bachelor's or Master's in CS or related

Tools

Docker

Terraform

AWS

GCP

Job description

About the Role

Build the edge-to-cloud infrastructure that connects, 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 support reliable robot operations.

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 secure, low-latency data pipelines between robot fleets, cloud infrastructure, and web platforms.

• Build and operate reliable over-the-air update systems for robots deployed in the field.

• Develop telemetry, logging, monitoring, alerting, and fleet dashboard capabilities.

• Optimize edge software for reliability, performance, resource use, and resilience in real-world environments.

• Collaborate across hardware and software teams to deliver fleet-scale capabilities and improve uptime.

What We’re Looking For

• Three to ten years of experience in robotics or IoT infrastructure engineering.

• Production experience with C++ and Go, including software for embedded or edge devices.

• Experience building edge-to-cloud pipelines and deploying or managing OTA updates for device fleets.

• Experience developing fleet observability, including telemetry, monitoring, alerting, or dashboards.

• Cloud infrastructure experience with AWS or GCP, Terraform, and Docker.

• Familiarity with networking protocols such as MQTT, gRPC, or WebSockets.

• Experience leading cross-functional projects and working effectively in fast-moving environments; robotics or IoT startup experience is a plus.

• 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 USD annually. Visa sponsorship is not available.

Location

On-site in Pittsburgh, Pennsylvania, United States.