Robotic Software Engineer, Perception
AI summary of the role
Develop, integrate, and deploy real-time AI/ML perception algorithms for heterogeneous autonomous vehicles across land, air, sea, and space domains.
What you’ll do
- Develop, integrate, and adapt cutting-edge AI/ML algorithms for the perception autonomy stack across multiple sensor platforms
- Create interfacing software to autonomously control sensors (EO, IR, acoustics, radar, RF)
- Collaborate across sensor, tracking, and autonomy teams for deployment of heterogeneous platform swarms in DoD testing events
- Deploy containerized solutions to embedded Linux devices with computer-in-the-loop testing and profiling
What you’ll bring
- MS or PhD in EE, CE, Robotics, CS, Optimization, or equivalent OR 5+ years experience with sensor algorithms, hardware, and HIL integration
- Experience with multiple sensor modalities (EO, IR, lidar, radar, sonar, acoustics) and understanding of sensor physics
- Experience training and deploying ML algorithms (Python, PyTorch, TensorFlow) onto integrated systems (ONNX, C++ models)
- Familiarity with tracking basics (Kalman filters) and optimal sensor fusion
Technologies
AI/ML · Python · PyTorch · TensorFlow · ONNX · C++ · Linux · Docker · Kalman filters · sensor fusion
About Applied Intuition
Builds the toolchain, vehicle OS and autonomy stacks that automakers, defense and off-road OEMs use to ship AI-driven vehicles.
Series F
Source and classification
Production engineering · Evidence for this classification:
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. About the role As a Perception Autonomy 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 hardware platforms. Your responsibility will primarily be designing, developing, and
More from the job description
About Applied Intuition 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 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. About the role As a Perception Autonomy engineer, you will be pivotal in developing, integra [... source excerpt omitted ...] 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 hardware platforms. Your responsibility will primarily be designing, developing, and rapidly integrating AI/ML sensor 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 [... source excerpt omitted ...] 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 Impl
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