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Salary
$103k – $239k per year (Estimated)
Location
In office (San Mateo)
Overview
Company
Impact
Profile match
Bringing AI into the physical world. Most AI today exists solely in cyberspace. Physical reality is far more information rich, and automating physical tasks offers immense returns. We are building AI that will interact with and affect change in the real world.

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI’s world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. 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.

Responsibilities

  • 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 robots and ensure they are deployment ready.
  • 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.

Preferred Qualifications

  • 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.
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