Autonomous Systems Engineer

Integer Technologies is seeking an Autonomous Systems Engineer to support the design, development, and deployment of advanced autonomy software for maritime robotic platforms. This role spans the autonomy stack—including perception, localization, mapping, planning, and control—with an emphasis on developing robust algorithms for real-world operation in constrained and uncertain environments. Ideal candidates have experience in robotics, state estimation, controls, simulation, or related fields, along with strong software development skills and an interest in solving challenging multidisciplinary problems.

Candidates must be U.S. citizens eligible to obtain a DoD security clearance and enjoy working closely with engineers, scientists, and academic collaborators.

Because Integer is a fast-moving research and development organization, this role is intentionally broad. We occupy a unique position in the research ecosystem—close enough to academia to co-develop new methods with university partners, and close enough to operational users to transition those ideas into fielded technology. Engineers in this role move between software development, modeling and simulation, field experimentation, technical analysis, collaboration with research partners, and contributions to future programs.

Don't
meet every qualification? Please apply anyway. We are seeking engineers with deepexpertisein one or more technical areas and an interest in collaborating across disciplines. We welcome applicants ranging from early-career engineers with strong technical foundations to experienced researchers and developers. Responsibilities, project ownership, and technical leadership will grow with experience anddemonstratedcapability.

• Algorithm Development & Implementation Develop and evaluate algorithms for autonomy, estimation, planning, and control on simulated and physical robotic systems. Depending on project needs, this may include system identification, sensor fusion, machine learning, multi-agent coordination, or data reduction techniques that enable operation under bandwidth, storage, and compute constraints.
• Modeling & Simulation Build and validate models of robotic platforms, sensors, operating environments, and communications systems. Use simulation, Monte Carlo analysis, and hardware-in-the-loop testing to characterize performance, quantify uncertainty, and identify failure modes before field deployment.
• University Collaboration Serve as a technical point of contact for academic partners, helping define collaborative research, evaluate technical approaches, and translate research outcomes into program deliverables.
• Verification & Data Analysis Design and execute computational studies, laboratory experiments, and field evaluations. Analyze experimental data, compare results with model predictions, and use findings to improve algorithms and system performance.
• Technical Communication Produce clear technical reports, interface and design documentation, and program deliverables. Contributing to conference or journal papers with university partners is supported and encouraged.

• Must be a U.S. Citizen with the ability to obtain andmaintaina U.S. DoD Secret Clearance.
• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineeringor a related technical field; advanced degrees preferred.
• Demonstrated depth in at least one and working familiarity with at least two of the following:
• Dynamics, control theory, and vehicle kinematics/dynamics modeling
• System identification, parameter estimation, and model validation
• State estimation and sensor fusion (Kalman-family filters, particle filters, factor graphs)
• Modeling, simulation, and hardware-in-the-loop test methods
• Machine learning applied to physical systems — learned dynamics or sensor models, data-driven estimation, and learning-based control or decision-making
• Data reduction and representation — compression, feature extraction, and dimensionality reduction under bandwidth, storage, or compute constraints
• Experience applying those methods to fielded or prototype engineered systems in maritime, aerospace,…