Software Engineer Jobs in Cambridge, MA

Design, develop, and maintain scalable backend services, APIs, integrations, data pipelines, automation, and workflows for internal business systems. Partner with cross-functional stakeholders to translate business needs into technical solutions. Ensure system reliability, performance, security, and scalability while contributing to technical strategy, code reviews, engineering best practices, mentorship, and process improvement.

Design, build, and operate WHOOP’s data platform infrastructure, including lakehouse, warehouse, and streaming systems. Improve performance, reliability, cost efficiency, observability, and developer experience across AWS-based data systems. Develop internal tools, APIs, automation, CI/CD, and infrastructure-as-code practices. Partner with data, ML, analytics, and software engineering teams to support scalable workflows, governance, and production excellence while using AI-assisted development tools effectively.

Develops and tests embedded software and algorithms for resource-constrained, real-time systems across defense and space applications. Evaluates requirements, performs design trades, analyzes performance, troubleshoots issues, and contributes to system design and technical documentation. Communicates with customers and stakeholders throughout the software development lifecycle. The role is performed onsite and requires obtaining and maintaining a government security clearance.

Develop and improve CommCare platform features using modern practices (CI, automated tests, version control). Collaborate with global teams to build usable software for low-resource settings, mentor junior engineers, drive code quality through reviews, and propose product and process improvements.

As a Software Engineer, you will build innovative products, enhance existing solutions, and collaborate with cross-functional teams in a fast-paced environment.

Build Android SDKs and end-user applications that collect sensor data, provide real-time feedback, and support indoor item positioning. Integrate mobile software with RFID scanners, barcode readers, peripheral hardware, and third-party systems. Drive complex projects end to end, contribute across the product lifecycle, and collaborate autonomously with business stakeholders. Emphasize maintainable, performant mobile architecture, correctness, intuitive user experiences, and potentially backend development, testing, and enterprise SDK support.

Build secure, scalable software products and infrastructure with an emphasis on application security, access control, threat modeling, audits, monitoring, CI/CD security, cloud infrastructure, and secure development processes. Develop Python web services, APIs, dashboards, distributed ML systems, and infrastructure using Kubernetes, Helm, and Terraform. Collaborate autonomously across the business, drive complex projects end to end, and establish security-by-default engineering practices.

Build end-to-end mobile, web, backend, data, and infrastructure features for Cartesian’s indoor inventory positioning platform. Develop applications for retail associates, internal research, and business teams; create APIs, dashboards, datasets, and scalable services. Manage cloud infrastructure with Kubernetes, Helm, and Terraform, while improving CI/CD and architecture. Collaborate directly with customers and users, test on physical devices, and autonomously drive projects from prioritization through delivery.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Develop and deliver full-stack software features for Verily’s precision-health products. The role involves designing technical solutions, comparing implementation options, collaborating with development teams, and building personalized, data-driven experiences. Engineers use GitHub, Google Cloud, Go, React, Docker, and Terraform. Responsibilities may include scalable data processing pipelines and healthcare data integrations using technologies such as BigQuery and HL7 FHIR.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Own robotic grasping intelligence by designing bespoke neural networks, building cloud training and evaluation pipelines, deploying models to robot fleets, and improving performance through field telemetry. Develop simulation-first manipulation strategies using robotics concepts including motion planning, kinematics, geometry, and perception. Collaborate with perception and motion-planning engineers while setting technical direction for a small applied ML team.

Develop robotics software bridging high-level orchestration and low-level machine control. Build scalable, reliable Python control systems, scheduling algorithms, simulations, and test suites. Integrate software with sensors, actuators, electronics, and mechanical systems; adapt software to new hardware; improve machine error handling; and own software components from concept through deployment and support while collaborating with software, hardware, and product teams.

Design and build agentic AI features by integrating LLM APIs into product workflows. Write well-tested TypeScript across the stack, implement tool invocation and multi-step reasoning flows, collaborate with Product and Design, and improve reliability and performance of agentic systems while documenting findings.

Designs, develops, tests, implements, maintains, and supports custom software applications across internet security, content delivery, APIs, machine learning, and cloud computing. The role improves platform functionality, develops new capabilities, automates product operations, contributes to architecture and software design, and expands automated unit, functional, integration, and end-to-end testing.

Develop and deploy automated system tests for distributed software systems. Build test beds, unit tests, automation tools, and infrastructure; collaborate with developers and QA teams; create test plans and ensure coverage; review system requirements and test cases; and improve testing methodologies and efficiency using software development and coding.

Designs and leads large-scale software subsystems, architecture, coding standards, code reviews, debugging tools, performance optimization, refactoring, and QA automation. Guides business and technical solution definition, evaluates production readiness using objective metrics, and develops web content management, workflow automation, integrations, and database solutions. The role is telecommuting eligible throughout the United States.

The Senior Software Engineer will design AI features, maintain data pipelines, develop scalable ML serving infrastructure on AWS, and lead cloud-native software solutions.

Optimize GPU-based motion-planning algorithms for latency, memory usage, and resource utilization. Analyze performance metrics, identify GPU hotspots, adapt the planner across GPU architectures, optimize machine-learning models, and support engineers as a CUDA and GPU-performance subject matter expert. The role involves C++ development in large codebases, Linux environments, and debugging and profiling complex multiprocess robotic systems.

Develop Linux-based services, provisioning automation, deployment tooling, industrial protocol integrations, and reliability features for edge computers and factory servers. Support containerized and virtual-machine applications, ML inference workloads, monitoring, logging, recovery, testing, debugging, and technical documentation. Collaborate with senior engineers while owning well-defined platform components.

Lead performance and reliability initiatives across Sonos embedded player APIs and control components. Design architectural improvements, optimize player-to-app and player-to-cloud communication, analyze telemetry, and resolve complex multithreaded system issues. Collaborate with App, Cloud, Security, Data, UX, PM, and QA teams while mentoring engineers, participating in the full software development lifecycle, and presenting technical proposals to leadership.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.

The Software Engineer will develop and maintain a cloud-native SaaS platform, focusing on frontend and backend development, collaborating with cross-functional teams, and contributing to secure systems in a regulated environment.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.