Software Engineer Jobs in Cambridge, MA

Lead frontend modernization by migrating legacy web apps into a microfrontend ecosystem, ship production-critical React/Next.js code, define reusable platform patterns, and collaborate cross-functionally to ensure performance, developer experience, and long-term maintainability.

Design and implement Java-based enterprise application features across the full SDLC. Collaborate with architects and stakeholders, participate in Agile/Scrum, perform code reviews, troubleshoot production issues, and mentor delivery team members.

Design, implement, and execute test procedures for wireless headset products (Bluetooth, ANC). Support requirements analysis, release validation, interoperability testing, automation of test suites, defect reporting, and collaboration with suppliers and third parties.

Design, build, and maintain MLOps software systems and ML pipelines; deploy, test, and monitor AI/ML models on cloud-native platforms; implement ETL and data workflows; ensure model performance, security, and scalability; lead technical roadmap, mentor engineers, and evaluate emerging MLOps tools.

Design and develop cloud-connected intelligent-edge software solutions. Translate system architectures into implementations, build APIs and cloud deployments, package containers for Kubernetes, write tests, implement observability, mentor junior engineers, troubleshoot and integrate features, and collaborate with cross-functional teams to support product development life cycle.

Design, build, and modernize cloud-native systems to automate Arrowstreet's systematic investment processes. Provide technical leadership, mentor engineers, migrate legacy systems to containerized/serverless platforms, optimize data flows for performance and resiliency, automate testing and deployment, and support production incidents with urgency while collaborating with business and technology stakeholders.

Design and implement low-latency, high-performance trading systems across distributed systems, concurrency, OS, networks and computer architecture. Develop/maintain feed handlers, OMS and order execution components (FIX), collaborate on large codebases, lead projects, and iterate on trading technology to optimize latency and reliability.

Design and build integrations for AI-driven applications, develop databases, optimize performance, collaborate with scientists, and drive large-scale systems deployment.

Design and implement ultra-low-latency C++ trading gateway components, build market access interfaces (FIX/OUCH), optimize NUMA-aware multithreaded systems, employ userspace networking, lock-free techniques, and compiler/cache optimizations, and lead related projects.

Design and implement low-latency C++ gateway infrastructure for market access. Build and optimize order-entry interfaces (e.g., FIX, OUCH), apply NUMA-aware multithreading, userspace networking, compiler/cache optimizations, and lock-free techniques. Contribute to architecture and performance tuning using strong algorithms, data structures, and modern C++ best practices.

As a Staff Software Engineer, you will develop UIs, APIs, and databases for an AI-driven scientific platform, ensuring performance and integration with various systems. Collaborate with researchers and engineers to enhance scientific workflows and scale large systems.

Build and maintain Dyno's scientific data platform and cloud infrastructure for reliability, scalability, and security. Translate scientific questions into production APIs, pipelines, and user-facing tools. Drive engineering quality via code and architecture reviews, move prototypes to production, and collaborate cross-functionally to support scientists and external partners.

The Principal Software Engineer will lead technical processes, design and develop Java-based applications, mentor developers, and ensure optimal application performance in collaboration with cross-functional teams.

The Software Engineer will develop algorithms and code related to AI, robotics, and sensing technologies, impacting key systems at Zoox.

As a Staff Software Engineer, you will build distributed systems, scalable backend services, and data infrastructure for audience measurement in advertising, collaborating with data science teams to optimize data processing.

Lead the development of Android applications for robotic systems, ensuring high quality and enhancing engineering processes while mentoring engineers and collaborating with cross-functional teams.

Design and evolve distributed search and analytics systems for the Splunk platform. Lead complex engineering efforts from design through delivery, improve performance and reliability, mentor engineers, collaborate cross-functionally, and work with customers to resolve production issues.

Lead engineering organization to define technical strategy, architecture, and delivery for a scalable, secure health‑tech platform. Own roadmap, standards, uptime, and cross‑functional alignment with Product, Clinical, and Data Science. Recruit and develop engineering teams, drive agile delivery, observability, CI/CD, and compliance (HIPAA). Serve on executive team to influence strategy, metrics, and innovation.

Lead end-to-end engineering for an AI-driven biomanufacturing platform: design and deploy LLM-powered agents and RAG systems, build full-stack React/Node.js/MongoDB platform and document intelligence pipelines, evolve AWS infra for GxP/Part11/SOC2 compliance, implement CI/CD, observability, and work with customers to integrate with LIMS/ERP/QMS.

Build and ship end-to-end core product features including voice AI agents, agentic workflows, survey pipelines, routing, matching intelligence, and analytics. Own services from design through rollout, implement evals and guardrails for AI systems, engage with customers, and raise engineering standards through mentoring, testing, CI/CD, and observability improvements.

Design, build, and support integration services and APIs across the SDLC. Troubleshoot incidents, collaborate with product/QA/IT teams, produce technical and operational documentation, support deployments and CI/CD, and ensure architecture and coding best practices for scalable, secure enterprise integrations.

Design, build, and scale the data platform that converts raw mass-spectrometry and biochemical data into validated, labeled datasets. Own pipelines, data contracts, serving, cost optimization, quality gates, SDKs and interfaces, and operational SLAs. Collaborate with ML researchers, scientists, and product to enable model development and product features.

Build and operate model validation, quantization, and safety systems for production ML. Develop pipelines for security scanning, optimization (quantization/pruning), routing, prompt management, and evaluation frameworks measuring accuracy, performance, and safety across model lifecycles.

Lead quality engineering for software and hardware products: investigate/resolution of issues, root-cause analysis, process integration, data-driven defect prevention, mentor teams, improve manufacturing and software development processes, and ensure compliance with quality standards throughout the SDLC.

Lead hands-on ownership of mission-critical production systems across frontend, backend, infra, and LLM tooling. Ship high-impact features, ensure scalability, reliability, and operational excellence, design and operate LLM validation loops, and raise engineering quality through durable technical decisions without people management responsibilities.