CV/Image Processing Engineer - Clearance Eligible - San Diego (near Poway), CA

at  EpiSci

Are you ready to take the helm in shaping the future of tactical mission autonomy, standing shoulder-to-shoulder with trailblazers who are turning cutting-edge dreams into tangible reality? As a vital member of the growing EpiSci team, your influence will be immediate and transformative as we propel towards a future where security and autonomy unite in unprecedented ways.
EpiSci isn’t just another company; we’re a rapidly ascending force of innovation, forging ahead with next-gen tactical mission autonomy technologies that span defense, aerospace, and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our Tactical AI prowess is nothing short of extraordinary, offering robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Picture developing AI aviators for cutting-edge aircraft like the F-22 and F-16, revolutionizing wireless tactical communication systems, and fueling the skies with swarms of autonomous UAVs supercharged by sensor fusion.
As an Autonomy Engineer at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical AI applications. Here, you won’t just follow the norm; you’ll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications. The challenge is profound and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities.
We understand and cherish the richness that diverse perspectives and backgrounds bring to the table. At EpiSci, we wholeheartedly invite every exceptional individual, regardless of their journey, to join our ranks and become a driving force behind the secure and autonomous world of tomorrow. Your future at EpiSci awaits—ignite your potential and let’s redefine what’s possible, together.
Don’t meet every single requirement? At EpiSci, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.

MINIMUM QUALIFICATIONS

• Education
• Bachelor’s degree in computer science or engineering (electrical & computer, systems and industrial, mechanical, etc.).
• Technical
• Experience with C++, Python, and/or Bash.
• Comfortable in both Windows and Linux.
• Experience with computer vision libraries (e.g., OpenCV, ffmpeg) and implementing/integrating object detection software solutions and computer vision networks (e.g., YOLO, DINO, ViT) and optimizers (e.g., SAM).
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision.
• Integration and test experience on common COTS hardware devices (e.g., Nvidia Jetson, Xilinx RF/MPSOC).
• Additional
• Passion for solving complex problems with little supervision in a fast-paced environment.
• Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment.
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams.
• Travel
• 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
• (MADATORY) Must be a U.S. Citizen.
• (MADATORY) Must be eligible for a U.S. SECRET security clearance.

PREFERRED QUALIFICATIONS

• Education
• Master’s degree in computer science or engineering (electrical & computer, systems and industrial, mechanical, etc.).
• Technical
• Experience with Docker.
• Experience with robotics SDKs, such as ROS2.
• Expertise in machine learning techniques, including supervised and unsupervised learning. Candidate should also be experienced with deep learning and neural architectures, such as CNNs, RNNs, GANs, and transformers.
• Experience with Agile development methodologies and familiarity with CI/CD best practices.
• Experience working with edge computing and real-time systems.
• Interdisciplinary background, with evidence of continual learning.
• Security
• Current U.S. SECRET security clearance.
  EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team.
  Don’t meet every single requirement? At EpiSci, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci

• You will be part of a team of engineers developing collaborative autonomy behaviors for large teams of heterogenous autonomous vehicles, across different domains (e.g., surface, air), with different sensor suites (e.g., camera, radar) that work together to accomplish complex mission vignettes. Your team will continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of HW platforms. Your responsibility will primarily be enhancing the computer vision ATR system, but you will work with the team to make the entire system successful.
• Adapt and develop cutting edge image processing, computer vision and object detection algorithms to operate in complex environments, with a need for persistent target tracking and integration within autonomous systems.
• Adapt and develop vision autonomy algorithms to control a camera in pursuit of better situational awareness and to support agent behaviors (e.g., intelligently scanning the environment, keeping an object centered in the FOV of the camera while vehicle is underway, dynamically zooming in on a target to get better imagery, etc.).
• Work with a team of engineers to conceive, develop, and implement machine learning-based methods for platform-agnostic automated target recognition solutions. Some of these may involve few-shot or zero-shot learning.
• Troubleshoot and debug complex issues related to sensors and communications, ensuring robust and reliable operation.
• Contribute novel engineering ideas, algorithms and concepts for new and existing research and development projects.
• Collaborate with cross-functional teams, domain experts, prior DoD warfighters, and program managers to build software solutions for military missions.
• Effectively communicate solutions to a diverse team of engineers, program managers, executives, and sponsors.