ATR Engineer
ATR Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 130000 - 170000
1 Vacancy
Job 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 Intuitions 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 .
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. EpiScis 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
Were 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 () 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: clickhere.
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 () 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 postings 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: $130000 to $170000 USD annually.
Dont meet every single requirement If youre excited about this role but your past experience doesnt 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.
Employment Type
Full Time
