Develop algorithms and production software for space domain awareness, including object detection, tracking, characterization, image processing, modeling, simulation, and sensor analysis. Collaborate with scientists and engineers to deploy containerized services using Python, Java, Docker, and Kubernetes. Analyze astronomical data, validate results, communicate technical findings, and support classified customer missions.
Overview
Frontier Technology Inc. is seeking an experienced Applied Physical Scientist to join our Sensor and Data Services team in Beverly, MA. This role focuses on Space Domain Awareness (SDA), including advanced analysis, physics-based modeling, algorithm development, and deployment of solutions for space-based systems. Experience with EOIR sensors is beneficial but not required.
You will work as part of a multidisciplinary team of scientists and software engineers, developing and deploying algorithms and services that enhance space situational awareness. Our team operates in a cloud-native development environment using modern DevOps practices. This position is currently 100% on-site at our Beverly, MA facility due to the classified nature of the work. Active TS security clearance is required to be upgraded with a SCI.
ResponsibilitiesScientific Analysis and Algorithm Development
- Design and implement algorithms for SDA applications, including object detection, tracking, and characterization in space environments.
- Analyze SDA-related datasets and simulations to improve space situational awareness and decision-making capabilities.
- Apply expertise in statistics, data modeling, simulation, and advanced mathematics to identify patterns and deliver innovative solutions.
- Perform image processing, coordinate transformations, sensor calibration, and related analytical tasks as needed.
Software Development and Deployment
- Develop production-quality code in Python and Java/Spring Boot, following modern software engineering practices including version control, code review, automated testing, and CI/CD.
- Containerize algorithms and services using Docker for deployment to Kubernetes clusters.
- Participate in the full development lifecycle: design, implementation, testing, deployment, and monitoring.
Collaboration and Communication
- Collaborate with SDA and EOIR domain experts to refine algorithm requirements and validate results.
- Partner with software engineers to integrate scientific algorithms into robust, deployable services.
- Engage with customers to present technical results, gather feedback, and define future tasking. Communicate complex technical results clearly to both technical and non-technical audiences.
- Communicate complex technical results clearly to both technical and non-technical audiences.
Education
- Master’s degree in Astronomy, Physics, Applied Mathematics, or a closely related discipline.
Domain Knowledge
- Strong technical background in astronomy or physics, with 6+ years of relevant industry experience.
- Practical knowledge of telescopes and optical systems, including observation planning or mission design.
- Experience with standard astronomical data analysis and reduction procedures.
- Strong mathematical foundation, with experience applying statistical methods to scientific data.
- Active TS/SCI security clearance is required. U.S. citizenship is required.
Software Development
- Programming fluency in Python with scientific computing libraries (NumPy, SciPy, or equivalent).
- Experience with Java development; Spring Boot experience strongly preferred.
- Familiarity with containerized development workflows (Docker, Kubernetes).
- Experience with CI/CD pipelines (Jenkins or equivalent).
- Working knowledge of MongoDB or similar document databases.
- Proficiency with Git for version control and collaborative development.
- Experience writing automated tests (unit, integration) for scientific and production code.
- Desired experience with STK (Ansys Systems Tool Kit), OD++ or similar orbit determination software.
#LI-KM1
#LI-Onsite
Similar Jobs
2 Hours Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manages Personal Injury Protection and Medical Payment claims from investigation through resolution. Evaluates coverage, eligibility, damages, reserves, and medical bills; medically manages claims; negotiates settlements; communicates with claimants, policyholders, providers, attorneys, and other parties; and refers appropriate cases to subrogation or special investigations.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Advises pharmaceutical and life sciences clients on R&D operations, clinical trial design, organizational design, process optimization, regulatory compliance, analytics, and portfolio management. Develops actionable strategies, executive presentations, and decision-support insights while coordinating projects and client workshops. Guides junior team members, supports change management, and helps clients improve R&D productivity, operational effectiveness, growth, and innovation across the drug development lifecycle.
Top Skills:
AnalyticsArtificial Intelligence
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provides Oracle-based digital finance and systems integration consulting for clients. Responsibilities include analyzing financial processes, designing and implementing business application solutions, integrating enterprise platforms, supporting NetSuite adoption, managing projects and budgets, applying agile methodologies, documenting deliverables, and maintaining stakeholder relationships. The role also provides client training, technical support, and optimization advice across financial planning, reporting, and operations.
Top Skills:
AgileBoomiCeligoOracleOracle Integration CloudOracle NetsuiteSalesforceWorkatoZuora
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
