Skild AI Logo

Skild AI

Robotics Engineer, Post Training & Deployment

Posted 7 Days Ago
Be an Early Applicant
Easy Apply
In-Office
San Mateo, CA
100K-300K Annually
Mid level
Easy Apply
In-Office
San Mateo, CA
100K-300K Annually
Mid level
As a Robotics Engineer, you will design and implement software and hardware adaptations for customer deployments, manage testing practices, and collaborate with robotics teams to enhance product quality.
The summary above was generated by AI
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 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.

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.
Preferred Qualifications
  • 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.

Base Salary Range
$100,000$300,000 USD

Top Skills

C
C++
Go
Python
Ros
Ros2
Rust

Skild AI San Francisco, California, USA Office

San Francisco, California , United States

Similar Jobs

2 Hours Ago
Remote or Hybrid
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Product Manager for Corporate Site leads the website strategy, collaborates with teams to enhance user experience, and drives product growth through data analysis and A/B testing.
Top Skills: A/B TestingData AnalysisUx Design
2 Hours Ago
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Oversee growth content marketing, establishing strategies and processes to generate demand. Write and edit SEO-focused content to drive business outcomes, and collaborate with cross-functional teams.
Top Skills: AhrefsGoogle Analytics 4Google Search ConsoleWebflowWordpress
2 Hours Ago
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Manage and scale global growth content marketing efforts for Airwallex's payments product, focusing on SEO and demand generation content.
Top Skills: AhrefsAnalytics ToolsCmsGa4Google Search ConsoleSeoWebflowWordpress

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account