Top Aerospace Jobs in Boston, MA

Leads new-business development across U.S. defense and maritime markets. Identifies and shapes opportunities, builds senior customer and industry relationships, develops capture and pursuit strategies, supports bids, and converts long-cycle opportunities into funded programs. Partners with engineering, operations, finance, and executives to validate technical fit, capacity, pricing, risks, and schedules. Maintains CRM pipeline data, supports forecasts, develops teaming relationships, and transitions awarded opportunities to account or program owners.

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.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

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.

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 and deploy AI-native products that transform large-scale geospatial data into actionable intelligence. Design multi-agent workflows, integrate frontier LLMs, engineer tool-using agents, and develop data pipelines for anomaly detection and predictive analytics. Ensure secure, scalable cloud integrations and operate production AI systems using DevOps, containerization, orchestration, and CI/CD. Establish feedback and reinforcement mechanisms to improve model reliability while contributing to AI-first engineering standards and documentation.

Build and operate a distributed telemetry data platform for ingest, processing, indexing, compression, storage, and query. Design APIs, horizontal scaling, fault tolerance, multi-environment deployments, customer data isolation, and high-performance systems supporting petabytes of data and millions of series. Engineers own projects from design through release and operations while solving complex distributed-systems challenges on a small founding team.