Collaborative Autonomy Engineer - Networked Collaborative Autonomy

About Applied Intuition

Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.

About EpiSci

EpiSci is redefining tactical mission autonomy. These technologies span across defense and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our tactical AI offers robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Our AI increases human capability in aircraft like the F-22 and F-16; it’s revolutionizing wireless tactical communication systems and filling the skies with swarms of autonomous UAVs supercharged by sensor fusion.

About the role

As a Collaborative Autonomy Engineer on the Networked Collaborative Autonomy team, you will develop collaborative autonomy behaviors for large teams of heterogenous autonomous vehicles, across different domains (e.g., surface, air), with different sensor suites (e.g., camera, radar) that work together to accomplish complex mission vignettes. Your team will continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of HW platforms. Your responsibility will primarily be designing and developing multi-agent, multi-domain behavioral autonomy algorithms, and you will work with the team to make the entire system successful.

At EpiSci, you will:

• Contribute novel engineering ideas, algorithms, and concepts for cutting edge, modular, and agile autonomy capabilities in the fields of optimization, persistent search, and coordinated behaviors, applicable to a diverse set of Defense problems  
• Write software that operates real autonomous aircraft systems (small UxS) as they accomplish tactical problems; the autonomy stack consists of a component-based architecture, and development will include robust modeling and simulation, software-in-the-loop, hardware-in-the-loop and flight test
• Troubleshoot and debug data sets generated during live, virtual, or constructive swarm autonomy testing on small UxS including complex behavioral autonomy system performance and robust, explainable operations
• Collaborate with cross-functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions
• Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors

We're looking for someone who has:

• Bachelors or Masters in Robotic Engineering, Computer Science, or related engineering field
• 3+ years of hands-on experience with Multi-Agent Algorithms including sensor localization and mapping (SLAM), task allocation/optimization and behavior logic frameworks (state machines, behavior trees, hierarchical task networks)
• Experience with modern C++ development (2020, 2017), CMake, Python and Bash
• Experience with containerization (Docker)
• Comfortable in both Linux and Windows
• Comfortable with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Travel Requirements:

• Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%)
• Interested candidates should also inquire about relocation assistance to EpiSci facilities near Destin, FL

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

Nice to have:

• Masters or PhD in Robotic Engineering, Computer Science, or related engineering field
• 5+ years of hands-on experience with Multi-Agent Algorithms and machine learning techniques, including reward functions, supervised learning, unsupervised learning and deep reinforcement learning
• Proficiency in modern C++ (2020, 2023), CMake, Conan.
• Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware devices (e.g., Nvidia Jetson, Xilinx RF/MPSOC, Raspberry Pi5)
• Willingness to relocate to EpiSci facilities near Destin, FL, Washington DC, or San Diego, CA

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.

Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company's premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.

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.