Skild AI

2 months ago

Senior Robot Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead development of edge-to-cloud robotics infrastructure, building on-device C++/Python software, secure, low-latency data pipelines, OTA update systems, and fleet observability. Collaborate across robotics, hardware, deployment, and web product teams to enable reliable scaling of robot fleets in real-world environments.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Design, implement, and maintain production-grade C++ and Python software running directly on robotic platforms.
•Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.
•Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.
•Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.
•Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

•3+ years of relevant industry experience.
•Strong production programming experience in C++ and Python.
•Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.
•Experience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.
•Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.

Experience:3+ yearsRoboticsIoTEdge computingCloud

Skills:C++PythonCommunicationProblem-solving

Languages:English

Tech Stack:C++PythonAWSGCP IoT CoreEC2S3LambdaMQTTWebSocketsGRPCOTA

Company Brief

Skild AI

Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.

Industry: AI & Machine Learning

Website

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Skild AI

2 months ago

Senior Robot Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Sr. Manager level

Key Responsibilities

•Design, implement, and maintain production-grade C++ and Python software running directly on robotic platforms.
•Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.
•Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.
•Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.
•Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

•3+ years of relevant industry experience.
•Strong production programming experience in C++ and Python.
•Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.
•Experience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.
•Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.

Experience:3+ yearsRoboticsIoTEdge computingCloud

Skills:C++PythonCommunicationProblem-solving

Languages:English

Tech Stack:C++PythonAWSGCP IoT CoreEC2S3LambdaMQTTWebSocketsGRPCOTA

Company Brief

Skild AI

Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.

Industry: AI & Machine Learning

Website