Top Aerospace Jobs in Boston, MA

Lead technical vision and execution for autonomy and APNT solutions on unmanned aerial systems. Guide programs from research and development through flight testing and fielding, oversee multidisciplinary engineering teams, manage schedules and budgets, support systems integration, engage customers and partners, and identify new business opportunities. Provide technical oversight while driving successful delivery of mission-critical aerospace software and systems.

Provides part-time optical test and controls engineering support for a lunar camera environmental test campaign. Responsibilities include operating optical instrumentation and Linux-based camera-control software, developing test routines, executing and documenting benchtop and environmental tests, monitoring data and anomalies, supporting optical alignment and verification, and coordinating with multidisciplinary engineers. The role is remote with periodic on-site work in Massachusetts and Connecticut, approximately 25% travel, and a six-month independent contractor engagement.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Leads the technical architecture, design, and implementation of mission management and autonomy solutions. Partners with technical leaders and product teams to develop tracking, mission planning, auto-routing, and resource management capabilities. Supports customer engagement, proposals, whitepapers, new business capture, and technical solution presentations for defense and intelligence customers. Requires strong leadership, communication, technical writing, and active Top Secret/SCI clearance.

Leads cross-functional aerospace engineering projects for FAA-certified avionics systems. Responsibilities include defining scope and schedules, managing budgets, risks, technical issues, baseline changes, EVM, certification coordination, customer engagement, proposals, and status reporting. The role requires collaboration across engineering, manufacturing, certification, program management, and business teams while ensuring delivery on schedule and within budget.

Lead a small engineering team while remaining hands-on, guiding software development from design through delivery. Build new products and scale existing systems, establish technical excellence, collaborate with platform engineers and domain experts, and work directly with customers and end users to deliver decision-making platforms for defense and airspace safety.

Leads end-to-end proposal and RFP development, quotation and pricing coordination, commercial operations, order intake, and customer service oversight. Coordinates Sales, Engineering, Quality, Operations, and program teams to deliver accurate, compliant, and timely responses. Manages commercial support personnel, improves proposal workflows, maintains tracking tools, and develops performance metrics. Supports contract transitions into order management and production planning while maintaining customer communication and order visibility.

Develop and integrate avionics architectures for supersonic and hypersonic vehicles. Responsibilities include defining system requirements and interfaces, integrating flight computers, sensors, power and control electronics, supporting hardware bring-up and troubleshooting, executing qualification tests, resolving multidisciplinary integration issues, and maintaining technical documentation. Level III engineers also mentor junior staff and contribute to avionics architecture best practices.

Build scalable systems and machine learning models that transform satellite imagery into labeled geospatial data and production computer vision products. Responsibilities include developing data and annotation pipelines, tracking lineage and versioning, deploying inference services, evaluating models, supporting cloud infrastructure, and improving labeling workflows. The role requires strong Python, cloud, containerization, CI/CD, infrastructure-as-code, production support, and deep learning expertise, with preferred experience in GCP, Vertex AI, spatial databases, and satellite imagery.

Owns the end-to-end capture lifecycle for Department of Defense pursuits, including competitive assessments, win strategies, teaming, bid/no-bid decisions, customer engagement, proposal development, and post-award transition. The role coordinates engineering, contracts, finance, security, and proposal teams while shaping R&D and prototype opportunities into programs of record. It requires expertise in Shipley methodology, DoD acquisition pathways, training and simulation markets, and emerging AR/XR/LVC technologies.