Top Engineering Jobs in Boston, MA

Lead systems engineering for a space-based sensing platform, including constellation architecture, requirements development, command and control, data transport, processing, and space-ground mission partitioning. Define interfaces, guide subsystem integration and testing, collaborate with partners and subcontractors, assess technology roadmaps, and mentor junior engineers. The role requires expertise in space-based RF/radar or optical sensing, satellite flight software, multidisciplinary systems design, and active Top Secret clearance.

Develop advanced signal processing, machine learning, and RF sensing algorithms for radar and electronic warfare systems. Design models and simulations, prototype capabilities, lead small teams and projects, support proposals, and collaborate with engineers, researchers, customers, and decision-makers. Work spans signal detection, classification, electronic support, attack and protection, cognitive electronic warfare, and sensor decision-making.

Lead multidisciplinary teams developing advanced RF sensing, radar, and electronic warfare algorithms from research concepts through operational prototypes. Architect signal processing, detection, classification, decision-making, and counter-sensing solutions; engage customers, mentor technical staff, support proposals, and transition innovative technologies into defense capabilities. The role requires extensive radar or EW experience, strong mathematical and programming skills, technical leadership, and the ability to obtain a U.S. security clearance.

Designs, develops, tests, and maintains high-reliability C++ software for embedded, real-time air-to-air radar systems. Responsibilities include translating requirements into software designs, building test frameworks, supporting DevSecOps practices, conducting peer reviews, documenting interfaces, developing analysis tools, and resolving defects. The role integrates software with larger mission-critical systems and requires expertise in multithreading, memory management, performance optimization, CI/CD, and automated testing.

Full-time, in-person engineering co-op supporting a 5G Standalone O-RAN test bed. Responsibilities include configuring Linux networking and RAN components, integrating core-network systems, developing Python or shell automation, troubleshooting interoperability issues, documenting experiments, and conducting hands-on wireless communications testing. The role requires a relevant technical degree in progress, U.S. citizenship, and the ability to obtain a national security clearance.

Develops, implements, tests, and demonstrates advanced signal processing, optimization, and machine learning algorithms for radar, electronic warfare, and remote sensing systems. Responsibilities include algorithm research, modeling and simulation, multidisciplinary systems integration, laboratory and field testing, technical presentations, customer collaboration, and transitioning research into operational prototypes. Requires scientific programming, strong analytical skills, and the ability to obtain a Top Secret clearance.

Performs subsystem and system-level integration and testing of advanced RF hardware and software systems. Develops test software, scripts, plans, and procedures; verifies interfaces, algorithms, and requirements; analyzes test data; communicates results; supports technical reviews and field testing. Works with systems, software, and domain engineering teams in SIL and operational environments, contributing to the integration and deployment of defense systems.

Integrates and tests advanced multifunction RF systems across hardware labs, software-in-the-loop environments, and field settings. Develops hardware test sets and test software, executes test plans and procedures, verifies system interfaces against requirements, documents results, and supports technical reviews. Collaborates with domain experts, development teams, and systems engineers to incorporate integration and verification artifacts into digital engineering and MBSE workflows.

Leads technical execution of advanced networking, communications, and machine-learning systems from requirements through development, integration, testing, demonstration, and transition. Translates mission needs into architectures and plans, leads multidisciplinary teams, manages technical risks and dependencies, and ensures quality, performance, security, maintainability, and testability. Applies advanced machine-learning and statistical methods to real-time, resource-constrained networked systems while engaging customers, mission partners, and collaborators.

Leads technical execution of mission-critical software systems supporting advanced analytics, machine learning, and intelligence applications. Owns architecture, requirements, implementation, integration, testing, deployment, and sustainment while translating customer needs into technical plans. Mentors engineers, manages risks and dependencies, drives quality and release readiness, and collaborates with researchers, systems engineers, DevSecOps teams, and government mission partners.