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

In this role, you will be integrating hardware and software onto vehicle platforms for testing autonomy algorithms in both a HIL/SIL and flight test environment. Computer networking, code integration, and the ability to work hands on with integration of hardware and software is a must. This involves working across software and hardware to ensure that the full system is integrated together seamlessly when it needs to be delivered to the customer.

At EpiSci, you will:

• Integrate software that operates on real unmanned aerial vehicles (UAVs), as well as simulated models and more to accomplish tactical military missions
• Collaborate with autonomy engineers to integrate production C++ software
• Deploy to embedded compute such as NVIDIA Jetson, Modal AI VOXL, Raspberry Pi, etc.
• Integrate embedded compute with UAS autopilot(s) such as Pixhawk (ArduPilot and/or PX4)​
• Integrate embedded compute with MANET radio(s)​
• Integrate embedded computer with sensing & perception hardware such as: ​EO/IR Camera Systems​, Radar/RF Systems
• Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc.
• Support live flight test of autonomy software on group 1-3 unmanned aerial vehicles (UAVs)
• Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware

We're looking for someone who has:

• Bachelor of Science in mechanical, electrical or related field 
• 2+ years of experience in hardware/software integration or development
• Experience with testing software applications (C++, Python) 
• Familiarity with Linux development and Bash scripting
• Experience integrating with communication busses & protocols:​UART/RS232​, SPI, I2C​, Ethernet
• Demonstrated experience with building, modifying, or repairing electronic and/or mechanical systems. This could be from academic projects, internships, or personal hobbies (e.g., building custom drones, robotics competitions, etc.).
• Competency in soldering and creating custom wiring harnesses and cable assemblies to connect various sub-components.
• Experience using basic electronic test equipment such as multimeters, oscilloscopes, and power supplies for diagnostics and troubleshooting.
• Ability to read and interpret technical drawings, schematics, and assembly instructions to integrate components accurately.

Nice to have:

• Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4)​
• Experience integrating autonomy/robotics products onto embedded compute modules such as:​ NVIDIA Jetson, Modal AI VOXL, Raspberry Pi​
• Experience with systems assemble; soldering wires, printed circuit boards and connectors
• Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)
• Experience using git, Visual Studio Code, GitLab, Nexus, SonarQube
• Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing
• Basic scripting ability in a language like Python or MATLAB is highly desirable for automating tests, parsing data logs, or simple system analysis.

Travel Requirements:

• Must be willing to travel as projects require. Estimated average travel is once every other month for between 2 days up to 1 week (~20%)

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.

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: $100,000 to $190,000 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.