Autonomy Engineer (Ariel Autonomy) at APPLIED INTUITION INC

Irvine, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

180000.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Software Development, Robotic Systems, Autonomous Systems, Sensor Processing, Track Propagation, Environment Mapping, Mission Planning, Control Theory, Data Visualization, Docker, Linux, Source Control, Simulation Tools, Autonomy Frameworks

Industry

Software Development

Description

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About EpiSci EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci’s autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions. About the role As an Autonomy Engineer on the Air Combat Autonomy team at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical autonomy applications. Here, you won't just follow the norm; you'll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications. The challenge is profound, and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities. At EpiSci, you will: Write software that operates real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions Build, leverage, and improve robotic autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions Implement, leverage and improve state-of-the-art unmanned aerial system (UAS) autonomy solutions to sense, make sense, decide, and act in the context of tactical military missions Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware Implement and optimize autonomy algorithms for tasks such as sensor processing, track propagation and correlation, environment mapping, mission and trajectory planning, reasoning over discrete or uncertain states, optimization, learning, and control theory We're looking for someone who has: Bachelors degree in computer science/related engineering field 2+ years of hands-on experience developing software for autonomous robotic systems Experience in developing software for autonomous robotic systems High proficiency in Python or C++ programming languages Strong functional, procedural, data-oriented, and object-oriented programming experience employing clean code principles and good design patterns/principles Travel Requirements: Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~10%) Security Requirements: Must be a U.S. Citizen Must hold or be eligible to obtain and maintain a U.S. security clearance For more information about U.S. security clearances: click here. Nice to have: Ability to use data visualization and debugging tools to support autonomous agent development Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries Proficiency in the Rust and C++ (version 17 and later) programming languages Experience working with defense modeling and simulation tools such as AFSIM and NGTS Experience working with mission and autonomy architecture frameworks such as OMS UCI and ROS Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $120,000 to $180,000 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

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Responsibilities

As an Autonomy Engineer, you will design and implement architectures and systems for tactical autonomy applications. You will write software for autonomous aircraft systems and improve robotic autonomy software architectures for military missions.