Software Engineer - Generalist

San Francisco

About Stable:

Stable is an early-stage, venture-backed company building the next generation of charging infrastructure for electric vehicle fleets. Urban charging infrastructure is a critical and underserved area necessary to make electric and autonomous vehicles a reality -- we’re working to fix that. Our founding team is a diverse group of former MIT scientists, Googlers and charging experts with backgrounds in robotics, optimization, and machine learning.

Our investors include Qasar Younis (former COO at Y Combinator), Kent Goldman (Upside VC), Habib Hadad/Calvin Chin (MIT's E14 fund), Reilly Brennan (Trucks.vc), Scott Belsky (Founder of Behance), Sunil Paul (Founder of Sidecar), and more.

About the role:

We are looking for a generalist software engineer to help build an autonomous robotic charger and develop supporting cloud infrastructure.

You should understand how to build simple, robust, and well-tested software in a quickly-changing environment. You'll have the opportunity to work directly with senior engineers on all areas within our company.

About you:

  • Bachelor's or master's degree in Computer Science, in a related field, or have equivalent experience in software engineering roles
  • 1+ years of experience designing, building, and deploying software in a production environment
  • Independent do-er who prioritizes execution and also knows when to ask for help
  • Able to make sense of nebulous problems and work with your team to iterate on and improve your ideas
  • A quick learner; you pick up new technologies and languages as needed to handle the problem at hand
  • Excited to work in a fast-paced environment at an early stage startup

In this role you will:

  • Refine our perception and controls software to improve robot reliability and ensure that our robots can safely recover from failure states.
  • Build out robust testing infrastructure to ensure that our charging robots can reliably plug in cars in a wide array of environmental conditions.
  • Develop our data analysis pipeline to determine optimal geographic placement of our charging infrastructure

Other useful skills and experience:

  • Experience building software for hardware (controls, path planning, computer vision, or sensing)

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