Top Tech Jobs & Startup Jobs in Boston, MA

Design, analyze, and build flight controls software for Group 1-4 UAS. Develop and modify avionics software, run SW/HW-in-the-loop simulations, generate auto-code, design ground tests, support integration and flight test, and perform controls analysis and peer reviews.

The Senior System Safety Engineer leads safety activities, conducts hazard analysis, engages with customers, and ensures compliance with safety standards in unmanned aircraft systems.

Lead subcontract administration across the contract lifecycle for DoD/aerospace programs: draft and negotiate subcontracts, ensure FAR/DFARS compliance, manage supplier selection and performance, perform cost/price analysis, support program teams, mitigate contractual risk, maintain audit-ready records, and mentor junior staff.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

The DevOps Engineer III enhances software infrastructure for unmanned aircraft systems, focusing on backend integrations, frontend development, CI/CD pipelines, and system monitoring, collaborating with engineering teams.

Develop high-reliability software for safety-critical applications in UAS technology. Collaborate with teams, maintain solutions, and automate processes.

Lead architecture and implementation of software for autonomous UAS systems; mentor engineers; ensure compliance with aerospace standards; optimize CI/CD pipelines.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

The Guidance, Navigation, and Controls Manager leads a GNC engineering team, ensuring the development and compliance of software for unmanned aerial vehicles, along with project management and technical oversight responsibilities.

The Platform Engineer will design and implement scalable compute infrastructure for autonomous vehicle simulation, utilizing cloud platforms and on-premises clusters, along with managing CI/CD pipelines and monitoring systems.