Robotics Application Engineer

Skild AI
Pittsburgh, San Mateo
Workplace: OnsiteFull timeUSD 100,000 - 300,000 annuallyFunction: Software EngineeringExperience: 3-5 yearsEducation: mastersSkills: ["Problem-solving","Collaboration","Communication"]

Hands-on robotics software engineer bridging foundation models to real-world deployment. Design, integrate, and deploy robot software; collaborate with ML/robotics teams to surface deployment issues, improve algorithms, and scale systems. Expect cross-functional work across hardware, operations, and R&D to build robust robotic solutions.

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FursaFursa
Skild AI
Skild AI
4 months ago

Robotics Application Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Hands-on robotics software engineer bridging foundation models to real-world deployment. Design, integrate, and deploy robot software; collaborate with ML/robotics teams to surface deployment issues, improve algorithms, and scale systems. Expect cross-functional work across hardware, operations, and R&D to build robust robotic solutions.
Location: Pittsburgh, San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, develop, and deploy software for robotic systems, including programming, configuration, and validation.
  • •Integrate and deploy robotic software solutions into production environments.
  • •Test, troubleshoot, and debug robotic applications — tracing failures across hardware, software, and model layers.
  • •Work closely with ML and core robotics engineers to surface deployment failures, reproduce edge cases, and translate field learnings into system improvements.
  • •Analyze and improve robot algorithms and system performance over time.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

  • •BS, MS, or higher in Computer Science, Robotics, or related field, or equivalent practical experience.
  • •3–5+ years of hands-on robotics application development, system integration, or field deployment.
  • •Proficiency in Python and C++, strong working knowledge of ROS/ROS2.
Experience:3-5 yearsRoboticsAIMachine learning
Education:Master's
Skills:Problem-solvingCollaborationCommunication
Languages:English
Tech Stack:PythonC++ROSROS2Vision systemsSimulation toolsSensor integrationMachine learning

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
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