Applied Intuition

Perception Engineer - Defense (All-Domain)

Applied Intuition$130K — $155K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in relevant fields or 5+ years of experience with sensor algorithms and hardware integration
  • Experience with multiple sensor modalities like EO, IR, lidar, and radar
  • Proficient in training ML algorithms using Python and frameworks like PyTorch or TensorFlow
  • Familiarity with estimation, tracking, and fusion algorithms
  • Comfortable working in Linux and utilizing Docker
  • Ability to manage large datasets and learn new technologies with minimal supervision

Responsibilities

  • Develop and integrate AI/ML algorithms for real-time sensor data processing
  • Create software for autonomous control of various sensor types
  • Collaborate with teams for seamless integration of heterogeneous autonomous platforms
  • Deploy solutions on embedded Linux devices and conduct performance analysis
  • Engage with DoD customers to tailor solutions to their operational needs
  • Communicate technical progress clearly to internal teams and external stakeholders
  • Enhance simulation tools for post-test analysis and improve future integration efforts

Benefits

  • Comprehensive health, dental, and vision insurance
  • 401k retirement plan with employer matching
  • Learning and wellness stipends
  • Paid time off
  • Potential for equity options in the company
Full Job Description
About the role

The Perception Engineer role at Applied Intuition Defense is a hands-on, full-stack, high tempo position where you will be part of an expert team rapidly pursuing the second (99%) and third nine (99.9%) of perception model performance across maritime, land, air-to-surface, and surface-to-surface domains, in EO and IR.

We develop our own custom detector and classifier architectures, we've developed our own comprehensive MLOps tooling allowing us to rapidly iterate at the scale of millions of images and videos, we make our own industry-leading labeling software, and we manage in-house labeling on a daily basis. We do all of this using frontier AI and large token budgets. If something needs to be built to get the job done, we will build it. If you have extensive modeling experience with transformers, vision-language models, diffusion models, and video model training pipelines, we need you. If you have deployed production ML models into the real world or optimized them heavily, we need you.

At Applied Intuition Defense, you will:
  • Develop perception models that find and classify targets with an error rate of
  • Deploy perception models to Jetson Orin+ boards and optimize models for better-than-realtime performance.
  • Build large foundation models for high-accuracy assisted data labeling.
  • Build tooling across the entire perception stack: labeling tools, simulation.
  • Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition self-driving staff.
  • Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and generative AI.
  • Create and maintain highly optimized models and inference software providing model results at maximum attainable frames per second (FPS) on Jetson-like hardware.
  • Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events.


We're looking for someone who has:
  • MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure.
  • Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems.
  • Experience in optimizing and deploying machine learning models to edge devices.
  • Strong experience with agentic coding with proven experience in Python and/or cpp.
  • Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems.
  • Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to 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 Applied Intuition Defense facilities near Destin, FL, Washington, D.C., or San Diego, CA

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:
  • PhD in Computer Vision, Machine Learning, or related field with strong academic contributions
  • 5+ years of experience building and deploying perception models on real-world hardware
  • A background in generating datasets using simulation engines like Unreal Engine, NVIDIA Omniverse, Blender, or 3D asset creation tools
  • Experience with deeply optimizing Transformer-based models for edge devices like NVIDIA Jetson boards
  • 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, Raspberry Pi5)


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.

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.

About Applied Intuition

Applied Intuition is a software company that provides a simulation platform for autonomous vehicles. The platform allows developers to test and validate their autonomous vehicle software in a virtual environment before deploying it on real vehicles. Applied Intuition was founded in 2017 and is headquartered in Mountain View, California.
Learn more about Applied Intuition
Size
200 employees
Industry
Founded
2017

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