Perception & Fusion Engineer

Applied Intuition; Ann Arbor (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

Applied Intuition is seeking a Perception & Fusion engineer to design, develop, and integrate real-time sensor fusion software for autonomous platforms across domains. You will fuse EO, IR, LiDAR, radar, and acoustics, interfacing with multiple platforms and sensors.

Work with Linux, Docker, Python, PyTorch/TensorFlow, and C++ models; deploy containerized solutions on embedded devices; collaborate with sensor, tracking, and autonomy teams for field demos and DoD tests.

Qualifications

• MS/PhD in EE/CE/Robotics/CS or equivalent; 5+ years of sensor algorithm experience
• Experience with multiple sensor modalities (EO, IR, LiDAR, radar, acoustics)
• Proficiency in Linux, Docker, Python, PyTorch, TensorFlow; C++ models on integrated systems

Responsibilities

• Design, develop, and integrate real-time sensor fusion software for autonomous platforms
• Interface sensors across platforms and domains to support autonomy team objectives
• Deploy containerized solutions on embedded Linux devices and gather performance data
• Collaborate with sensor, tracking, and autonomy teams for field demos and DoD testing
• Interact with DoD customers to understand use cases and triage needs
• Document ongoing work to maintain flexibility and transparency
• Drive simulation tooling to replay sensors and enable post-processing analysis
• Implement improvement plans based on simulation results and customer feedback

Skills

Sensor fusion algorithms

Linux

Docker

Python

PyTorch

TensorFlow

C++

Embedded systems

Education

MS or PhD in Electrical/Computer/Robotic Engineering, CS, or Optimization

5+ years of sensor algorithm experience

Tools

Docker

Linux

CMake

ONNX

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .

We are an in-office company, and our expectation is that full-time 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. This in-office expectation does not apply to contractor positions

About the role

As a Perception & Fusion engineer, you will be pivotal in developing, integrating, and maintaining real-time sensor software solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space). You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of platforms and sensors. Your responsibility will primarily be designing, developing, and rapidly integrating sensor fusion algorithms to interface across different platforms, ingest relevant mission information, and support the autonomy team's mission objectives. This work includes developing autonomous sensor controllers to optimally fuse information between state-of-the-art sensor systems, such as EO, IR, acoustics, radar, and RF.

At Applied Intuition, you will:

• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

We're looking for someone who has:

• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Experience with state of the art estimation, tracking, and fusion algorithms.
• Experience working comfortably in Linux and Docker
• Prior experience 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 requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Travel-adverse candidates are encouraged to inquire about relocation assistance to HQ in Poway, CA

Security Requirements

For more information about U.S. security clearances:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

Nice to have

• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus

Experien