Software Engineer Jobs in Cambridge, MA

Build and maintain quantum computer management systems, controls infrastructure, and calibration services. Own mission-critical software, collaborate with physicists and hardware engineers, and develop scalable, efficient systems. Responsibilities include debugging, troubleshooting, designing cloud-native microservices and event-driven architectures, working with scientific instrument data, and supporting system performance and operations.

Design, train, fine-tune, evaluate, and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware using ONNX and TensorRT. Collaborate with cross-functional teams to translate research into robust, production-ready perception capabilities for defense platforms.

Lead design, training, fine-tuning, evaluation, and deployment of vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, and evaluation frameworks. Optimize models for embedded hardware (ONNX, TensorRT), collaborate cross-functionally, translate research to production, and mentor engineers.

Design, train, fine-tune, evaluate, and deploy vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware (ONNX, TensorRT). Collaborate with researchers and engineers to translate ML research into robust, production-ready perception capabilities for defense platforms.

Architects, configures, and develops Guidewire PolicyCenter and InsuranceSuite solutions, including integrations with external systems through APIs, messaging, and batch processing. Leads technical design, coding, testing, documentation, standards, troubleshooting, and platform modernization within Agile teams. Partners with architects, stakeholders, DevOps, and engineering teams on cloud deployment, CI/CD, observability, security, event-driven architecture, and scalable software delivery.

Staff Backend Software Engineer responsible for technical direction, architecture, and hands-on development of scalable backend and AI infrastructure. Owns foundational platform services, databases, observability, reliability, security, cost optimization, and cloud deployment. Leads cross-functional initiatives, establishes engineering standards, authors RFCs, mentors engineers, and contributes to AI integrations and frontend work as needed. The role is hybrid in Boston, Massachusetts.

Build and maintain backend software for device APIs, event pipelines, lifecycle management, and partner integrations. Complete work independently across design, implementation, testing, and release; participate in code reviews, debugging, incident response, and postmortems. Lead small projects, contribute to larger initiatives, document systems, and collaborate with engineering, QE, product, and operations teams. Use AI-assisted development tools responsibly while validating code for correctness, security, and maintainability.

Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Lead design, integration, and fielding of autonomy software on unmanned platforms. Develop mission behaviors, platform control, multi-agent coordination, and deployment pipelines; own validation from simulation to live tests. Drive technical strategy, cross-team architecture, standards compliance, mentor senior engineers, and support on-site test/mission operations and hardware/software debugging.

Lead design and implementation of tactical autonomy behaviors for unmanned platforms. Develop, test, and deploy multi-agent coordination, motion/behavior planning, and survivability features across vehicles while owning end-to-end system lifecycle and collaborating with integration teams and end users.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software integration, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, improve integration processes, and assist with certification and compliance. Travel ~30-40% for tests and field events.

Develop, integrate, and field autonomy software on unmanned platforms; own end-to-end integration from simulation to live tests; debug embedded/latency-sensitive systems; support on-site flight/sea/space tests; ensure C2 interoperability and improve deployment/test tooling and processes.

Design, implement, and own tactical autonomy behaviors for unmanned platforms. Develop and test multi-agent coordination, motion and behavior planning, target engagement, and survivability features. Work across the software lifecycle, integrate with sensor, estimation, communications, and control systems, contribute to shared frameworks, and support platform integration and testing (travel up to 20%).

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software interactions, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, and support certification and compliance. Frequent travel (~30-40%) for field tests.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Design, develop, and maintain scalable C++ and Python software for hardware-software interfaces and real-time systems. Interface with sensors, cameras, GPS, radios, and microcontrollers. Participate in design and code reviews, use containerization (Docker/Kubernetes), follow Agile practices, collaborate across teams, and contribute to modular, maintainable codebases supporting DoD customers.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Design, develop, test, deploy, monitor, and support scalable full-stack software for specialty healthcare workflows. Own features across the software development lifecycle, build frontend and backend systems, APIs, data integrations, and cloud infrastructure, and maintain automated tests. Collaborate with product and engineering teams, develop clinical workflow expertise, mentor engineers, and responsibly use AI-assisted tools for development, testing, debugging, and documentation.

Designs, develops, tests, deploys, and modernizes secure enterprise software, APIs, microservices, and cloud-native applications. Integrates generative AI, LLMs, RAG, and agentic workflows into production systems; supports DevSecOps, automation, monitoring, and sustainment. Builds analytics, forecasting, and decision-support tools for defense aviation, logistics, and supply chain missions. Provides technical leadership, mentorship, stakeholder collaboration, and architectural guidance.

Design, deploy, enhance, and support secure custom government network platforms and cloud services. Manage CI/CD pipelines, build systems, testing frameworks, distributed databases, and storage ecosystems. Lead technical initiatives, code reviews, security patching, Agile SDLC releases, and system performance improvements. Collaborate with Operations, Engineering, and SRE teams to troubleshoot complex issues and deliver resilient application delivery networks.

Architect and develop high-availability IAM services in Go, including authentication, authorization, SSO, policy engines, multi-tenant identity models, and secure AI workflows. Own service reliability, Kubernetes deployments, event-driven migrations, and vulnerability remediation. Lead major technical workstreams, conduct code reviews, and mentor engineers while collaborating across teams.

Lead architecture and development of Beacon’s backend Datastore platform, including PostgreSQL data models, Kafka event pipelines, GraphQL APIs, integrations, and clinical-data access controls. Design scalable systems, tune queries, operate production databases, guide schema evolution, debug cross-system issues, write RFCs, mentor engineers, and improve tooling, documentation, testing, and operational robustness. The role offers focus either on broad Datastore systems or deep PostgreSQL and data modeling.