Autonomy Software Engineer: Full-Stack & Robotics Tools

Applied Intuition

Sunnyvale (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Applied Intuition in Sunnyvale, CA, seeks bright software engineers to design elegant solutions across full-stack, infrastructure, robotics, and graphics challenges in the autonomy space. Our engineers own technical and product decisions, interact with users for feedback, and collaborate with domain experts to advance autonomy tooling.

You will carve out your own area of expertise, influence product direction, and learn from a diverse team of infrastructure, robotics, and graphics engineers as

Qualifications

  • BS/MS degree (completed or in progress) in Computer Science, Computer Engineering, Electrical Engineering, or a related field, graduating December 2026 or by Summer 2027
  • Proven ability as a self-starter and can quickly become comfortable with new technical tools
  • Designed efficient and effective solutions to a wide range of engineering challenges
  • Experience taking initiative in a fast-paced environment

Responsibilities

  • Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
  • Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
  • Carve out your own area of expertise and influence product decisions
  • Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy

Education

BS/MS degree (completed or in progress) in Computer Science, Computer Engineering, Electrical Engineering, or related field graduating December 2026 or by Summer 2027

Job description

Applied Intuition in Sunnyvale, CA, seeks bright software engineers to design elegant solutions across full-stack, infrastructure, robotics, and graphics challenges in the autonomy space. Our engineers own technical and product decisions, interact with users for feedback, and collaborate with domain experts to advance autonomy tooling.

You will carve out your own area of expertise, influence product direction, and learn from a diverse team of infrastructure, robotics, and graphics engineers as

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