**Description** ARS is seeking a passionate and innovative Autonomy Researcher to join our dynamic team focused on advancing autonomous systems. The successful candidate will contribute to cutting-edge research in areas such as autonomous vehicles, machine learning, and artificial intelligence (AI). This role requires expertise in autonomy algorithms, real-time systems, and modeling techniques. You will work collaboratively with interdisciplinary teams to design, test, and implement novel autonomy solutions. **Why Work with us?** Applied Research Solutions (ARS) is respected as a world-class provider of technically integrated solutions as we deliver premier talent and technology across our focused markets for unparalleled, continuous mission support. Awarded a Best Places to Work nominee since 2020, ARS recognizes that without our career- driven, loyal professionals, we would not be able to deliver state-of-the-art results for our mission partners. We firmly believe that prioritizing our employees is of the upmost importance. We provide a culture where our employees are challenged to meet their career goals and aspirations, while still obtaining a work/life balance. ARS employees are motivated through our industry competitive benefits package, our awards and recognition program, and personalized attention from ARS Senior Managers. Responsibilities include: + **Autonomy Algorithm Development:** + Design and develop algorithms for autonomous systems, focusing on safety, efficiency, and reliability. + Implement machine learning, reinforcement learning, and optimization techniques to improve decision-making processes of autonomous systems. + Contribute to advancements in perception, localization, path planning, and control for autonomous systems. + **Research and Innovation:** + Conduct original research to explore new autonomy technologies and methodologies. + Stay updated on the latest trends, papers, and breakthroughs in autonomy and AI-related fields. + Work on novel problem-solving approaches to real-world autonomy challenges, including environmental factors and human interactions. + **Testing and Validation:** + Develop and execute experimental plans to validate the performance and reliability of autonomy algorithms. + Simulate and evaluate autonomous systems in controlled environments and in real-world scenarios. + Analyze experimental data, providing insights and recommendations to refine algorithms. + **Collaboration and Knowledge Sharing:** + Collaborate with cross-functional teams including software engineers, hardware engineers, and product managers to integrate autonomous solutions. + Communicate complex research findings clearly and effectively to both technical and non-technical stakeholders. + Present research outcomes at conferences, workshops, and internal meetings. + **Mentorship and Leadership:** + Participate in and/or lead small teams of researchers in specific projects or sub-domains of autonomy. + Foster a collaborative and open-minded research environment. Qualifications/ Technical Experience Requirements: + A Mater’s or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. + Must have an active SECRET security clearance, TS/SCI preferred. + Focus or specialization in autonomy, machine learning, or control systems. + Proven experience in autonomy-related research, including algorithm development, system modeling, and real-time performance evaluation. + Work/professional demonstrated experience working with machine learning and AI frameworks such as TensorFlow, PyTorch, or similar platforms. + Work/professional experience with programming languages such as Python, C++, or MATLAB. + Strong understanding of autonomy technologies, control theory, perception, planning, and optimization methods. + Experience with sensor fusion, computer vision, or SLAM (Simultaneous Localization and Mapping) is a plus. + Proficiency in data analysis and interpretation, statistical methods, and experimental design. + Excellent problem-solving, analytical, and critical thinking skills. + Strong communication skills, both written and verbal. + A strong track record of published research in top-tier journals or conferences. + Ability to work in a fast-paced, interdisciplinary team environment. + Creativity and a passion for pushing the boundaries of autonomous systems technology. + Interest in working on real-world applications of autonomy in industries such as automotive, aerospace, robotics, or healthcare. All positions at Applied Research Solutions are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)