Algorithm Engineer Jobs in Cambridge, MA (NOW HIRING)

About the Team: 

STR's Analytics & C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success. 

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. 

The Role: 

As an Autonomy Algorithms Lead Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA or Arlington, VA, and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely.  

Who You Are: 

• Active Top Secret clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
• BS in Computer Science or related technical field with 7+ years of experience
• 5+ years of experience with C++ or Java
• Full stack development experience with a heavy focus on backend algorithmic development
• Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables
• Proven ability to develop, implement, integrate, and test autonomy algorithms and software
• Not in scope: Experience primarily with Front end UI/UX or database management/interaction
• Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application
• Proven ability to proactively lead and manage modest size engineering teams (5+ engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
• Demonstrated success driving industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products
• Experience in leading system/software architecture design  
• Comfortable working both with internal leadership and external customers in the development and execution of software product plans
• Experience utilizing the following: 
• Object-Oriented Programming principles for large scale systems
• Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc
• Test-driven development methodologies 

• A demonstrated ability to adopt new languages, libraries, and technologies 

Even Better: 

• MS or PhD in Computer Science or related technical field
• Experience with the following:  
• Collection Orchestration
• Satellite Constellation Management
• Containerization and service-based architectures
• Coordinating Electronic Warfare resources
• Reinforcement learning
• Agentic AI
• Programming for embedded and physical devices
• Multi-agent coordination of UxVs
• MAVLINK or other C2 protocols
• ROS
• TAK
• DevSecOps and CI/CD tool chains
• Constraint satisfaction algorithms
• Knowledge representation/ontologies
• Python 

Pay Information
Full-Time Salary Range: $173,000 - $216,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.