Applied Intuition
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 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 teams 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. 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) Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion Experience working comfortably in Windows, 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
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
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
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 Experience with robotic swarm or multi-agent systems and optimization Strong tracking and sensor fusion background Current U.S. SECRET security clearance
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 is $140,000 to $220,000 USD annually. Apply for this job
To apply, submit your information as prompted in the job posting. We are an equal opportunity employer. Applied Intuition is a federal contractor or subcontractor and adheres to applicable equal employment opportunity laws. #J-18808-Ljbffr
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 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 teams 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. 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) Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion Experience working comfortably in Windows, 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
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
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
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 Experience with robotic swarm or multi-agent systems and optimization Strong tracking and sensor fusion background Current U.S. SECRET security clearance
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 is $140,000 to $220,000 USD annually. Apply for this job
To apply, submit your information as prompted in the job posting. We are an equal opportunity employer. Applied Intuition is a federal contractor or subcontractor and adheres to applicable equal employment opportunity laws. #J-18808-Ljbffr