Robotics Engineer, Post Training & Deployment

Skild AI•San Mateo, CA

1d•$100,000 - $300,000

About The Position

We are looking for a Robotics Engineer specialising in Post Training & Deployment to help further the performance and capabilities of Skild AI’s world-class high-level software and products. You will source customer requirements, design and build user-facing products, and implement automation to create formalized, rigorous deployment & testing practices. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Requirements

2+ years of professional experience developing and deploying robotics solutions in customer-facing environments.
BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
Experience with complex software systems working in real-time with embedded systems.
Experience with Test Management and Requirements software.
Experience with ROS/ROS2 or other robotics middleware platforms.
Previous work experience as a Test Engineer.
Prior experience developing and deploying software on real robots.
Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
Familiarity with machine learning integration and deployment in robotic systems.

Responsibilities

Source and iterate on customer requirements to ensure technical alignment for on-site deployments.
Craft detailed technical specifications for customer-specific software and hardware adaptations.
Own scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases
Define, implement, and maintain comprehensive regression tests for Skild AI’s software and products.
Design and organize test plans according to priority, impact, risk, and feasibility.
Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
Maintain and ensure robots are deployment ready and execute full-stack software and hardware deployments at customer sites.
Recreate corner cases from production logs into repeatable tests.
Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.

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