EpiSci develops tactical mission autonomy technologies using AI, autonomy algorithms, and wireless communications for defense and commercial applications.

EpiSci, a pioneering company in tactical mission autonomy, is seeking an Autonomy Integration Engineer to join their Networked Collaborative Autonomy team. This role presents an exciting opportunity to work at the intersection of artificial intelligence and autonomous systems, specifically focusing on integrating autonomy behaviors for large teams of heterogeneous autonomous vehicles.

The position involves working with cutting-edge technology across multiple domains including surface and air vehicles, implementing various sensor suites such as cameras and radar systems. You'll be responsible for developing and integrating autonomy services that interface with device drivers and firmware for peripheral hardware, while also supporting testing and demonstration of these systems in real-world scenarios.

This role is perfect for someone with a strong background in embedded systems and autonomous vehicle technology. You'll need at least 2 years of experience working with UAS autopilots, along with expertise in embedded compute platforms like NVIDIA Jetson and Raspberry Pi. The position requires a blend of technical skills including Linux/Windows proficiency, containerization experience, and comfort with remote software development.

The role is based in Destin, FL, with relocation assistance available. The position offers competitive compensation ranging from $140,000 to $160,000 annually. As this role involves work in the defense sector, candidates must be U.S. citizens and eligible for security clearance. The position involves approximately 10-20% travel for software/hardware integration and demonstrations.

This is an excellent opportunity for someone passionate about autonomous systems and eager to work on projects that push the boundaries of what's possible in tactical mission autonomy. You'll be part of a team that's revolutionizing autonomous vehicle technology across multiple domains, working with state-of-the-art hardware and software systems.

Autonomy Integration Engineer role focusing on integrating autonomy behaviors for autonomous vehicles across different domains.

Autonomy Integration Engineer

EpiSci is at the forefront of tactical mission autonomy, combining cutting-edge AI, autonomy algorithms, and wireless communications to address critical national security challenges. As an RL/ML Software Engineer on the Cognitive Sensing and Radio Frequency team, you'll be instrumental in developing state-of-the-art estimation and adaptive control algorithms.

The role demands expertise in reinforcement learning and machine learning, with a focus on developing solutions for multi-agent systems and unmanned aerial vehicles (UAVs). You'll be working on sophisticated projects that include AI implementation in aircraft like F-22 and F-16, revolutionizing tactical communication systems, and developing autonomous UAV swarms enhanced by sensor fusion.

Key responsibilities include developing novel reinforcement learning algorithms, creating simulated models for tactical military missions, and implementing adaptive control theory. The position requires a Master's or PhD in machine learning/reinforcement learning with robotics applications, strong programming skills in C++/Python, and experience with containerized development environments.

This is an exciting opportunity for someone passionate about applying advanced AI technologies to real-world defense applications. You'll be working on cutting-edge projects that directly impact national security, with the chance to see your work deployed in actual field operations. The role offers competitive compensation ($150,000-$180,000) and the opportunity to work on challenging technical problems with significant real-world impact.

As a U.S. citizen-required position, you'll be part of a team pushing the boundaries of what's possible in tactical AI and autonomous systems. The role involves occasional travel (~10%) for project implementation and field testing, offering hands-on experience with the technologies you'll be developing.

Senior ML Engineer role focusing on developing tactical mission autonomy using reinforcement learning and AI for defense applications.

RL/ML Software Engineer

EpiSci develops tactical AI and autonomy algorithms for defense and commercial applications, specializing in military aircraft systems and autonomous UAVs.

EpiSci is at the forefront of tactical mission autonomy, developing cutting-edge AI and autonomy solutions for both defense and commercial applications. As an RL/ML Software Engineer on the Cognitive Sensing and Radio Frequency team, you'll be instrumental in advancing state-of-the-art estimation and adaptive control algorithms.

The role demands expertise in reinforcement learning, machine learning, and software development, particularly in C++ and Python. You'll be working on revolutionary projects including AI implementation in military aircraft like F-22 and F-16, developing autonomous UAV swarms, and enhancing tactical communication systems through sensor fusion.

Your responsibilities will span from developing novel model-based reinforcement learning algorithms for multi-agent systems to creating and implementing simulated models for tactical military missions. You'll be hands-on with UAV operations and will need to bridge the gap between theoretical algorithms and practical field implementations.

The ideal candidate should have an advanced degree (Master's or PhD) in machine learning/reinforcement learning with a focus on autonomy and robotics applications. Strong programming skills, experience with containerized development environments, and a track record of taking autonomy capabilities from concept to deployment are essential.

This is an exceptional opportunity for someone passionate about pushing the boundaries of AI in defense applications, working with cutting-edge technology, and making a significant impact on national security solutions. The role offers competitive compensation ($150,000-$180,000) and comprehensive benefits, including health insurance and 401k with employer match.

As a U.S. citizen working in this role, you'll be part of a dynamic team that values innovation and technical excellence, with opportunities to work on challenging projects that have real-world impact in defense and commercial sectors.

Senior RL/ML Software Engineer position developing tactical AI and autonomy algorithms for defense applications with focus on reinforcement learning and autonomous systems.

EpiSci specializes in tactical mission autonomy, developing AI technologies for defense and commercial applications.

EpiSci is at the forefront of tactical mission autonomy, developing cutting-edge AI technologies for both defense and commercial applications. As a Cloud Infrastructure Engineer, you'll be instrumental in designing and implementing architecture for tactical autonomy software deployment at scale. The role combines deep technical expertise in cloud infrastructure with the excitement of working on national security challenges.

The position offers an opportunity to work with modern cloud technologies including Kubernetes, Docker, and Infrastructure as Code tools like Terraform. You'll be responsible for managing containerized applications, collaborating with DevOps teams, and ensuring security compliance with U.S. government requirements. The role requires a strong background in cloud infrastructure, with particular emphasis on AWS and AWS GovCloud.

This is an ideal position for someone who wants to make a direct impact on national security while working with cutting-edge technology. The company's solutions are already being used in aircraft like the F-22 and F-16, and you'll be part of revolutionizing tactical communication systems and autonomous UAV operations.

The role offers competitive compensation between $100,000 - $190,000 annually, plus comprehensive benefits including health insurance, 401k with employer match, and learning stipends. While the position requires U.S. citizenship and security clearance eligibility, it provides unique exposure to both classified and commercial projects. The in-person work environment and occasional travel requirements ensure direct collaboration with team members and stakeholders.

Cloud Infrastructure Engineer role at EpiSci, focusing on tactical autonomy software deployment, requiring expertise in Kubernetes, AWS, and security compliance.

Cloud Infrastructure Engineer

EpiSci is at the forefront of tactical mission autonomy, developing cutting-edge AI technologies for both defense and commercial applications. As an MBSE Engineer on the Network Collaborative Autonomy team, you'll play a crucial role in designing and implementing architectures for various Tactical AI applications. The position offers an opportunity to work with advanced technologies including artificial intelligence, autonomy algorithms, and digital signal processing.

The role involves creating groundbreaking hybrid autonomous algorithms that push the boundaries in both commercial and defense applications. You'll be working with sophisticated systems like F-22 and F-16 aircraft, tactical communication systems, and autonomous UAV swarms. The position requires expertise in systems engineering, particularly with model-based tools such as Cameo and Magic Draw.

This is an ideal opportunity for a systems engineer who wants to make a significant impact on national security technologies. You'll collaborate with government and industry partners, lead the development of system engineering models, and contribute to setting standards for system design. The role offers competitive compensation, comprehensive benefits, and the chance to work on projects that directly enhance military capabilities.

The position requires U.S. citizenship and security clearance eligibility, reflecting the sensitive nature of the work. While the role involves some travel (10-20%), relocation assistance to the Poway, CA headquarters is available. The company offers a robust benefits package including health insurance, 401k with matching, and professional development opportunities.

MBSE Engineer position at EpiSci, developing tactical AI and autonomous systems for defense applications, requiring 2+ years of systems engineering experience.

MBSE Engineer

EpiSci is at the forefront of tactical mission autonomy, developing cutting-edge technologies that span defense and commercial domains. As a Human Machine Interface Engineer, you'll be instrumental in creating web-based command-and-control systems for autonomous vehicles, particularly unmanned aerial vehicles (UAVs).

The role combines frontend development expertise with real-world applications in autonomous systems. You'll work with state-of-the-art web technologies to build interfaces that enable operators to control and monitor autonomous aircraft systems. This position offers unique opportunities to work with advanced technologies in AI, autonomy algorithms, and wireless communications.

Your responsibilities will include developing full-stack web applications, implementing map-based interfaces, and deploying solutions using Docker. You'll collaborate directly with autonomy engineers, government customers, and UAS vendors, contributing to mission-critical operations that enhance national security capabilities.

The ideal candidate brings strong frontend development skills, particularly with React/Redux and JavaScript frameworks, combined with experience in robotic systems interfaces. You'll need to be comfortable with both frontend and backend technologies, and have experience with containerization and version control systems.

This role offers unique opportunities to work on cutting-edge autonomous systems, contribute to national security projects, and be part of a team that's revolutionizing tactical AI applications. With a competitive salary range of $110,000-$160,000 and the opportunity to work on advanced technology projects, this position provides an exciting career path in the intersection of web development and autonomous systems.

The position requires U.S. citizenship and security clearance eligibility, reflecting the important nature of the work. While based in Fort Walton Beach, FL, you'll have opportunities to travel for demonstrations and deployments, adding variety to your role and enabling direct interaction with clients and systems in the field.

Frontend Engineer role developing web-based command-and-control systems for autonomous vehicles with focus on UAS platforms and real-time interactions.

Human Machine Interface Engineer

EpiSci is at the forefront of tactical mission autonomy, developing cutting-edge technologies for both defense and commercial applications. As an Autonomy Engineer, you'll be instrumental in designing and implementing architectures and systems for tactical autonomy applications.

The role involves working with advanced technologies including:
- Development of software for F16 fighter jets and unmanned aerial vehicles (UAVs)
- Implementation of state-of-the-art UAS autonomy solutions
- Creation of hybrid autonomous algorithms for military and commercial applications
- Collaboration with DoD warfighter experts and UAS vehicle vendors

The position requires a Master's degree in computer science or related engineering field, with 6+ years of hands-on experience in autonomous robotic systems. You'll be working with Python primarily, and knowledge of Rust and C++ is beneficial.

What makes this role unique is the opportunity to work on real military systems and missions, implementing cutting-edge autonomy solutions that directly impact national security. You'll be involved in everything from sensor processing to mission planning and control theory.

The role involves approximately 20% travel, and candidates must be U.S. citizens eligible for a U.S. Secret security clearance. You'll be working with advanced technologies and frameworks including Docker, Linux-based systems, and defense modeling tools like AFSIM and NGTS.

This is an opportunity to be at the forefront of autonomous systems development, working on projects that directly enhance military capabilities while pushing the boundaries of what's possible in autonomous technology.

Design and implement autonomous systems for tactical military applications, including F16 fighter jets and UAVs.

Autonomy Engineer

Leading innovator in next-generation tactical mission autonomy for warfighting domains, specializing in AI, autonomy algorithms, wireless communications, and cloud infrastructure.

EpiSci, the leading innovator in tactical mission autonomy, is seeking a Cloud Infrastructure Engineer to join their team in the Greater Washington D.C. Area. This role offers an exciting opportunity to work at the intersection of cloud technology and national security.

The position involves designing and implementing cloud-based architecture that enables the delivery of tactical autonomy software at scale. You'll be working with cutting-edge technologies including Kubernetes, Docker, and various cloud platforms, with AWS being the preferred environment. The role requires a strong background in cloud infrastructure and basic scripting languages, with at least 2 years of experience in the field.

As a Cloud Infrastructure Engineer, you'll be responsible for managing containerized applications, collaborating with DevOps and autonomy engineering teams, and ensuring compliance with U.S. government requirements. The position offers a competitive salary range of $100,000 - $190,000 annually and requires U.S. citizenship due to the nature of the work.

The ideal candidate will thrive in a fast-paced, collaborative environment where problem-solving skills and adaptability are essential. You'll have the opportunity to work with state-of-the-art technology while contributing to important national security initiatives. The role requires on-site presence and occasional travel (approximately 10% of the time).

EpiSci offers a unique opportunity to work with artificial intelligence, autonomy algorithms, and cloud infrastructure in meaningful applications. The company values diversity and encourages applications from candidates who may not meet every qualification but are passionate about the role. This position is perfect for someone who wants to make a significant impact in the field of tactical mission autonomy while working with advanced cloud technologies.

Cloud Infrastructure Engineer position at EpiSci focusing on designing and implementing cloud-based architecture for tactical autonomy software deployment.

EpiSci Engineering Jobs

EpiSci develops tactical mission autonomy technologies using AI, autonomy algorithms, and wireless communications for defense and commercial applications.