Applied Intuition
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 Intuition's 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 appliedintuition.com. 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 a Perception Autonomy engineer at EpiSci 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 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. Responsibilities
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 heterogenous platform swarms in on-site DoD testing and demonstration events Deploy containerized autonomy 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 Qualifications
MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience 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) Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion Experience working in Windows, Linux, and Docker Prior experience with remote software development, ability to handle and process large datasets Travel Requirements
Must be willing to travel as projects require; 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
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. Compensation
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. The base salary range for this full-time position in the listed location is: $140,000 to $220,000 USD annually. 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 will be influenced by factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. EEO / Legal
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. We comply with relevant laws and encourage applicants of all backgrounds to apply. The following regulations are referenced in the job posting: 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and related Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A). Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway.
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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 Intuition's 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 appliedintuition.com. 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 a Perception Autonomy engineer at EpiSci 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 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. Responsibilities
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 heterogenous platform swarms in on-site DoD testing and demonstration events Deploy containerized autonomy 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 Qualifications
MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience 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) Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion Experience working in Windows, Linux, and Docker Prior experience with remote software development, ability to handle and process large datasets Travel Requirements
Must be willing to travel as projects require; 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
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. Compensation
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. The base salary range for this full-time position in the listed location is: $140,000 to $220,000 USD annually. 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 will be influenced by factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. EEO / Legal
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. We comply with relevant laws and encourage applicants of all backgrounds to apply. The following regulations are referenced in the job posting: 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and related Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A). Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway.
#J-18808-Ljbffr