Applied Intuition

Applied Intuition

Senior C++ Software Engineer (Defense Autonomy)

Ann Arbor, Michigan, United States · Senior · Contract

No sponsorship$10k-$20kDetected 165 days ago
C++Object-Oriented ProgrammingAlgorithmsGitAzureDockerLinuxCybersecurityNegotiationSAPRoboticsLeadershipCommunicationCritical Thinking

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$87,9011 entry
Level II$106,8912 entries
Level III$125,9023 entries
Level IV$144,8934 entries

The bottom of this range ($10,000) is below the Level I prevailing wage of $87,901. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Ann Arbor, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

48 transfer filings in the last year, covering 48 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Applied is seeking a Software Engineer with strong foundations in algorithmic optimization and multi-agent systems.
  • You'll tackle complex computational challenges in our real-time decision-making platform, designing and implementing advanced algorithms that push the boundaries of autonomous coordination and planning.
  • We seek motivated engineers driven by core mission values to join our Acuity Autonomous Behaviors and Agents engineering team focused on next-generation human-machine teaming and real-time decision-making systems.

Responsibilities

  • You'll help build intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms.
  • Your work will support our Axion and Acuity family of systems, enabling breakthrough capabilities in human-machine teaming across all domains.
  • Design and implement multi-agent optimization algorithms for distributed decision-making and coordination problems
  • Implement and evaluate quantitative metrics for algorithm performance, solution quality, and computational efficiency
  • Collaborate with cross-disciplinary teams to refine algorithmic approaches based on empirical evaluation
  • Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles.

Requirements

  • Occasional travel required (approx.
  • Must be a U.S. Citizen
  • Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility
  • Proficiency with Bazel in Docker-based Linux environments.

Nice to have

  • Advanced degree (MS+) in algorithms, computational optimization, or autonomous systems, OR 5+ years building autonomous decision systems.
  • Expertise in advanced planning paradigms (e.g., PDDL, HTN planning, Monte Carlo tree search), temporal reasoning, formal verification, or symbolic planning.
  • Experience with game theory for multi-agent coordination or negotiation protocols.
  • Familiarity with real-time optimization under hardware/edge constraints.
  • Background in Battle Management Command and Control (BMC2) or defense applications.
  • Master's degree in computer science/related engineering field.
  • Experience on national security projects for government agencies.
  • Please reference the job posting subtitle for where this position will be located.

Skills

  • 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.
  • Demonstrable skill in analyzing, visualizing, and optimizing algorithm performance and solution quality.

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: $150,000 to $200,000 USD annually.

Benefits

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

Company info

  • Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.
  • We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week.

Equal opportunity

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

Visa & Work Authorization

  • Security Clearance

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