Software Engineer Jobs in Cambridge, MA

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Lead architecture and development of Beacon's centralized Datastore, designing scalable data models, event-driven pipelines, and APIs. Coach engineers, draft RFCs, set platform standards, and collaborate with product and scientific teams to ensure data integrity, maintainability, and operational reliability for clinical-grade brain and physiological data.

Lead design and implement backend services for monitoring systems using Node.js/TypeScript. Own features end-to-end, ensure reliability, scalability, observability, mentor teammates, and collaborate with product and design to solve ambiguous problems.

Design, build, and operate Zoox's HPC platform supporting thousands of concurrent jobs. Modernize infrastructure (Ray, SLURM, Kubernetes, AWS), improve scheduling, autoscaling, multi-region orchestration, capacity planning, profiling, and developer tooling. Lead cross-team initiatives and mentor junior engineers.

Design, build, and deploy scalable, production-grade AI agent and ML systems that process and enrich threat intelligence. Lead architecture and code quality, integrate LLMs/RAG solutions across the platform, mentor junior engineers, and collaborate with cross-functional teams to deliver reliable, secure AI tooling for threat detection and analysis.

Design and lead Developer Intelligence and platform systems to improve engineering velocity across the SDLC. Architect telemetry, observability, data pipelines, and AI-assisted tooling for testing, troubleshooting, and automation. Drive large cross-functional initiatives, standardize tooling, mentor engineers, and operationalize developer signals to reduce friction and scale developer workflows.

Lead design, build, deploy, and support the Enterprise Limits & Restrictions platform. Develop scalable, secure backend services, REST APIs, and event-driven systems. Support production incidents, improve system stability and performance, mentor engineers, participate in code reviews, and collaborate with business and technology stakeholders to modernize compliance and trading controls.

Lead design, development, and deployment of full-stack and high-performance desktop applications. Architect user-centric systems spanning graphical interfaces, native execution engines, and hardware control. Implement message-based networking APIs, optimize system performance, and collaborate with product, design, and cross-functional teams to deliver responsive, high-quality features.

As a Staff Software Engineer, you'll design and build high-performance APIs and UI, develop database architectures, and ensure system reliability while collaborating with scientists and ML engineers.

The role involves designing, building, and optimizing backend systems and data infrastructure for orchestration algorithms and lab execution. Collaboration with robotics scientists and platform engineers is key to developing performant systems for AI-driven scientific platforms.

The Software Engineer will develop a discrete event simulation platform for lab workflows, enhance scheduling, and ensure reproducibility. Responsibilities include architecting the platform, building APIs, and collaborating with Robotics and Scheduling teams.

Lead verification & validation and software quality for autonomous lab robotics. Build Python test automation (unit, API, UI), hardware-in-the-loop and simulation-based tests, integrate suites into CI/CD, define V&V/test plans mapping requirements to coverage, diagnose nondeterminism/flakiness, and manage reproducible test data and fixtures across software-hardware boundaries.

Lead technical vision and architecture for generative AI platforms; design and implement scalable, distributed AI systems and inference pipelines; ensure cloud-native, multi-tenant microservices; mentor engineering leaders; define standards, tooling, and alignment with product and UX.

Design and build backend and data systems for autonomous labs: scheduling (Temporal workflows), digital-twin modeling, data pipelines (Flyte), S3 lakehouse and PostgreSQL modeling, capacity planning services, and operate services on AWS EKS with Docker, Terraform, and CI/CD for scale and reliability.

Design, build, test, deploy, and support full-stack investment modeling applications. Integrate AI-driven capabilities into investor workflows, collaborate with analysts and QA, own delivery timelines, author technical documentation, and participate in on-call production support.

As a Senior Software Engineer, you will design APIs, manage database architecture, optimize performance, and collaborate with cross-functional teams to support the Data Platform Team's backend solutions.

The Staff DevOps Engineer will design and implement infrastructure for cloud and Kubernetes environments, ensuring reliable software delivery and collaborating across teams.

Design and implement high-performance UI and APIs, manage database architecture, develop applications, and ensure system scalability and optimization while collaborating with scientists and engineers.

Collaborate with teams to design and build UI and APIs, manage database architecture, and optimize performance for lab integration and scientific workflows.

Own, design, build, and operate core components of a large-scale, low-latency real-time ad decisioning system. Take end-to-end responsibility for subsystems, diagnose concurrency and timing issues, partner with applied scientists on ML-driven decisioning, mentor engineers, and drive system evolution, testing, and operational excellence.

Design and lead the evolution of DeleteMe's platform by writing code and making architectural decisions across the software stack.

Develop and extend device software and firmware for photonic AI processors and interconnects. Define control plane, diagnostics, and monitoring; integrate with data center administration (CMIS, OpenBMC, DMTF); debug embedded systems with tools like GDB, JTAG, and logic analyzers; collaborate with multidisciplinary hardware and software teams and engage with customers to gather requirements.

Lead improvements to decision-making, motion planning, and controls software quality for driverless vehicles. Implement validation, diagnostics, static analysis, compiler optimizations, and eliminate runtime allocations. Develop and deploy agentic AI tools to enforce design and validation principles, collaborate across subsystems, and present results to reduce failures before commercial launch.

Lead administration and governance of Microsoft 365, Power Platform, and Copilot Studio. Design, build, and support Copilot agents and Power Platform solutions, establish governance and DLP policies, monitor usage and costs, automate admin tasks with PowerShell/Microsoft Graph, and partner with security, risk, and business stakeholders to enable secure, scalable adoption.

Lead modernization of the WealthCare Administration platform by designing, developing, and deploying cloud-native microservices. Own full development lifecycle, build scalable APIs, leverage RDBMS/NoSQL and event-driven systems (Kafka/EventHub/ServiceBus), containerize with Kubernetes, and collaborate across teams to drive architecture and product evolution.