
location_on1458, Ironton Street, Aurora, Arapahoe County, Colorado, 80010, United States
This role is designed for a Senior Software Algorithm Developer seeking new, challenging problems. As an Algorithm Developer, you will support the development of algorithms across a multitude of disciplines, including Signal/Image Processing, Space Domain Awareness (SDA), Satellite Communication (SATCOM), and Signals Intelligence (SIGINT). In this technical lead capacity, you will guide a team of developers in taking these algorithms from prototype to operations, solving broad sets of challenges for various customers and their specific domains.
At CACI, we place character and innovation at the center of everything we do. We are a high-performing group dedicated to our customer's missions, driven by a higher purpose to ensure the safety of our nation. We foster a culture of integrity and an environment of trust, valuing the unique contributions every employee brings. You will have the autonomy to take the time you need through our unique flexible time off benefit, alongside access to robust learning resources to help make your ambitions a reality.
Together, we advance our nation's most critical missions and build on a lengthy track record of business success. We are focused on continuous growth, looking for opportunities to break new ground in your career and in our legacy. Our employees value the flexibility that allows them to balance quality work with their personal lives.
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
Work model: On-site
1458, Ironton Street, Aurora, Arapahoe County, Colorado, 80010, United States
Aurora, Colorado
M.S. or PhD in computer science, computer engineering, mathematics, physics, or any other relevant STEM fields. Experience with Linux. Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. Experience with C#, Go, or R. Experience with computational libraries: OpenCV, Boost, Eigen, Dlib, etc. Experience with source code version control systems. Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries. Experience in application deployment, virtualization, and containerization. Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.). Experience developing modeling and simulation environments or developing OpenAI Gym environments for Reinforcement Learning problems.