Applied Intuition

Applied Intuition

Autonomy Software Engineer - Acuity Framework

Ann Arbor, Michigan, United States · Contract

Work authorization required$10k-$20kDetected 76 days ago
PythonC++BashDistributed SystemsData StructuresAlgorithmsGitDockerKubernetesCI/CDCybersecurityRoboticsControlsCommunicationProblem Solving

About the role

  • We're seeking a Software Engineer to join our Acuity Autonomy Framework team, working on a cutting-edge framework solution that enables collaborative autonomy behaviors in multi-domain environments.
  • This is an opportunity to work on foundational software that powers autonomous systems operating in complex, real-world scenarios.
  • Leverage Modern Development Tools: Heavily utilize agentic coding tools and AI assistants to accelerate development and improve code quality

Responsibilities

  • Develop software that allows multiple autonomous agents to coordinate and collaborate across different operational domains
  • In this role, you'll develop core software systems, integrate with domain-specific platforms, and support multidisciplinary engineering efforts across the organization.
  • Enable Collaborative Autonomy: Develop software that allows multiple autonomous agents to coordinate and collaborate across different operational domains

Requirements

  • Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations
  • Must be a U.S. Citizen
  • 2+ years of professional software engineering experience
  • Strong C++ programming skills with experience in modern C++ (C++20 or later)
  • Experience with Python and shell scripting for automation and tooling
  • Proficiency with agentic coding tools such as Cursor, Claude Code, GitHub Copilot, or similar AI-assisted development tools
  • Strong understanding of software design patterns, data structures, and algorithms
  • Experience with version control systems (Git) and collaborative development workflows
  • Ability to work effectively in a fast-paced, collaborative environment

Nice to have

  • Experience with autonomous systems, robotics, or real-time control systems
  • Familiarity with distributed systems and multi-agent coordination
  • Knowledge of network programming and inter-process communication (IPC)
  • Experience with build systems (CMake, Bazel) and CI/CD pipelines
  • Understanding of software testing methodologies and frameworks
  • Background in defense systems, aerospace, or maritime applications
  • Experience with data serialization formats (Protocol Buffers, FlatBuffers, Cap'n Proto)
  • Experience with containerization technologies (Docker, Kubernetes)

Skills

  • Heavily utilize agentic coding tools and AI assistants to accelerate development and improve code quality
  • About Applied Intuition
  • Applied Intuition, Inc. is powering the future of physical AI.
  • Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft.
  • Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
  • Learn more at applied.co.

Compensation

  • at Applied Intuition for eligible roles includes base salary, equity, and benefits.
  • Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position.
  • For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $175,000 USD annually.

Benefits

  • Note that benefits are subject to change and may vary based on jurisdiction of employment.

Company info

  • Work closely with autonomy engineers, product managers, and customers to understand requirements and deliver solutions
  • Support Multidisciplinary Teams: Work closely with autonomy engineers, product managers, and customers to understand requirements and deliver solutions

Equal opportunity

  • Applied Intuition is an equal opportunity employer and federal contractor or subcontractor.

Visa & Work Authorization

  • Citizen

This listing is sourced directly from Applied Intuition's careers page and normalized into a canonical job model.