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ATR Engineer

Fort Walton Beach, Florida, United States

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 ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. 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.

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: this is not applicable for EpiSci roles).

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 ATR Engineer on the Networked Collaborative Autonomy team, you will create industry-leading ATR for air-to-ground, ground-to-air, and air-to-air use cases. You will deploy your models onto the most powerful NVIDIA edge hardware, directly powering decision-making systems affecting real live flights. Your work will be expected to rapidly transition to true battlefield environments to aid the warfighter and protect the national security interests of the United States.

At EpiSci, you will:

  • Train state-of-the-art machine learning models for 2D object detection on a variety of sensors, altitudes, look angles, and environmental characteristics
  • Develop and train advanced multi-frame, multi-object object detection and tracking models for a variety of objects and tasks, including occupancy grid prediction, semantic mapping, and in-network tracking capabilities
  • Generate extremely large quantities of synthetic imagery using state-of-the-art simulation engines
  • Rigorously test ATR models for very high accuracy, very low false positives, and extensively evaluate performance to establish trust with DoD partners
  • Optimize and deploy your ATR models on NVIDIA Jetson hardware, targeting faster than real-time throughput and very low latency, using NVIDIA Nsight and other tools to obtain maximum speed
  • Fly your ATR models on real unmanned autonomous vehicles (UAVs), where your ATR models feed directly into decision-making capabilities affecting the swarm at large
  • Analyze and debug failure modes in ATR models, using best-in-class simulation and tooling to ensure high performance

We're looking for someone who has:

  • Bachelors or Masters in Robotic Engineering, Computer Science, or related engineering field
  • 3+ years of experience building and deploying computer vision models for 2D object detection and tracking
  • Experience optimizing and deploying models for low-SWaP hardware like NVIDIA Jetson boards
  • Experience in PyTorch, TensorFlow, Jax, Keras, or other popular machine learning framework
  • Experience with modern C++ development (2020, 2017), CMake, Python and Bash
  • Experience with containerization (Docker)
  • Comfortable working with large-scale simulation engines to generate 
  • 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

For more information about U.S. security clearances: click here.

Nice to have:

  • Masters or PhD in Computer Vision, Machine Learning, or related field
  • 5+ years of experience building and deploying computer vision models for 2D object detection and tracking
  • Experience designing 3D scenes and generating imagery in game engines like Unreal Engine, Unity, or NVIDIA Omniverse
  • 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: $130,000 to $170,000 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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