Top Tech Jobs & Startup Jobs in Boston, MA

Develops and maintains Integrated Master Schedules for development, production, and sustainment programs. Monitors progress, analyzes schedule risks and critical paths, supports customer and stakeholder decisions, and recommends corrective actions involving schedules, funding, and resources. Integrates cost and schedule data, manages Earned Value Management systems, prepares proposal and execution schedules, and delivers leadership briefings. The role supports mission-critical missile defense and hypersonic technology programs.

Own the end-to-end lifecycle of electrical, electronic, electromechanical, and electro-optical components. Responsibilities include component selection, qualification, testing, failure analysis, supplier evaluation, source control drawing maintenance, qualification test planning, obsolescence assessment, and issue resolution. The role supports Parts, Materials, and Process activities, subcontractor documentation reviews, and program milestone reviews while ensuring compliance with customer requirements and internal quality standards.

Design, code, simulate, integrate, and test FPGA-based programmable logic for complex, high-reliability electronics. The role involves collaborating with hardware, systems, FPGA, and circuit design engineers while developing expertise through hands-on laboratory work, product development, troubleshooting, and integration activities.

Manages teams developing, integrating, operating, and maintaining embedded software, firmware, and computing systems for engineering, aerospace, defense, and manufacturing applications. Oversees technical processes across the software development lifecycle, employee development, budgets, planning, performance management, customer and supplier coordination, and process improvement. Requires software architecture, C/C++/Python, Linux or VxWorks, DevSecOps, Agile, earned value management, and engineering leadership experience.

Performs technical planning, systems integration, verification and validation, requirements allocation, trade studies, interface definition, risk and supportability analysis, and conversion of customer requirements into hardware and software specifications. The role supports systems across the full lifecycle and includes hands-on RF/microwave assembly, testing, measurement, troubleshooting, and documentation in collaboration with multifunctional teams.

Build and deploy production AI systems centered on ontologies, knowledge graphs, and agent workflows. Translate enterprise data and user needs into semantic models, graph systems, and reliable software. Develop evaluation, testing, observability, security, and deployment controls across AI, data, application, and infrastructure layers. Work directly with domain experts, lead technical delivery, mentor engineers, and convert customer engagements into reusable platform capabilities.

Lead architecture and delivery of production AI systems involving agents, ontologies, knowledge graphs, semantic models, and enterprise data integrations. Translate ambiguous user needs into secure, reliable capabilities; establish governance, evaluation, traceability, and human-review practices; guide deployments across cloud platforms, APIs, databases, and applications; resolve complex system issues; mentor engineers; and convert customer-specific solutions into reusable platform capabilities.

Leads the design, development, governance, and productization of enterprise data models, pipelines, data products, and ontologies. Builds machine-learning-ready datasets, implements security and lineage controls, optimizes Databricks and Delta Lake environments, establishes data-product standards, collaborates with architects and data scientists, and mentors engineering talent. The role also defines product roadmaps, service levels, usage metrics, and continuous-improvement processes for enterprise data assets supporting AI agents, analytics, and applications.

Build and deploy production AI systems focused on ontologies, semantic models, and knowledge graphs. Translate enterprise data and user needs into AI agent workflows, software services, APIs, and graph systems. Develop evaluation, testing, observability, security, and deployment controls for AI and data products. Work directly with domain experts, lead technical delivery, resolve production issues, present architectural decisions, review code, mentor engineers, and convert customer engagements into reusable platform capabilities.

Leads Hyperion operations and the migration of Space FP&A data to Oracle EPM Planning within the 1LMX initiative. Responsibilities include planning-cycle updates, bug fixes, actuals loads, database maintenance, upgrades, data cleansing, mapping, testing, conversion, cutover, and coordination across programs. The role develops and maintains enterprise system solutions, resolves integration issues, establishes technical specifications, and collaborates with Enterprise Performance, Finance, and IT stakeholders.