Join Skild AI as a Robotics Engineer to enhance robotic software through rigorous testing and deployment readiness.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the Robotics Engineer focuses on enhancing Skild AI's software through rigorous testing and deployment processes. Key skills include proficiency in low-level programming languages and experience with robotics middleware, as well as a solid understanding of software engineering principles. This position is ideal for individuals with a background in robotics or engineering, particularly those who have previously worked as Test Engineers. Skild AI's innovative environment encourages collaboration among team members with diverse expertise, fostering a culture of exploration and improvement.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Skild AI's career page.
- Skild AI has 63 other open roles including Manufacturing Engineering Manager, Senior Electrical Engineer , Operations Program Manager – Data Infrastructure - India.
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Quick facts
- Is the Robotics Engineer, Deployment & Testing - San Mateo role remote?
- No — this is an on-site role in San Mateo .
- Where is the role based?
- Skild AI is hiring for this position in San Mateo .
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Go, Python, ROS, ROS2, Rust.
- What seniority level is this role?
- Skild AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Robotics Engineer, Deployment & Testing - San Mateo role at Skild AI.
From the original posting
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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