Skydio

Software Engineer – Autonomy Infrastructure, Systems and Tools

Skydio

full-time

Posted on:

Location Type: Hybrid

Location: San MateoCaliforniaUnited States

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Salary

💰 $170,000 - $240,000 per year

Tech Stack

About the role

  • Lead the design and implementation of scalable tools used across autonomy development and testing workflows.
  • Collaborate with autonomy, QA, and infrastructure teams to gather requirements, align on priorities, and deliver impactful tooling.
  • Build tools that streamline stages of the robotics development process.
  • Take ownership of internal services from concept through deployment and monitoring.
  • Contribute to the long-term vision and roadmap for developer tools that improve debugging efficiency, test coverage, and system understanding.

Requirements

  • 3+ years of professional experience in software engineering, ideally in robotics, simulation, or systems development.
  • Proficiency in C++ and Python, with a strong grasp of performance-sensitive and multi-threaded systems.
  • Experience with simulation frameworks, time-synchronized data systems, or state-machine-driven applications.
  • Familiarity with structured data visualization, log processing, or developer tooling design.
  • Strong communication skills and the ability to partner effectively with cross-functional teams.
  • Comfort operating in a fast-paced environment where requirements evolve and priorities shift.
Benefits
  • Paid vacation time
  • Sick leave
  • Holiday pay
  • 401K savings plan
  • Group health insurance plans
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
C++Pythonperformance-sensitive systemsmulti-threaded systemssimulation frameworkstime-synchronized data systemsstate-machine-driven applicationsstructured data visualizationlog processingdeveloper tooling design
Soft Skills
strong communication skillscollaborationcross-functional teamworkownershipadaptabilityproblem-solvingprioritizationimpactful deliverydebugging efficiencysystem understanding