Software Engineer Jobs in Cambridge, MA

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.

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.

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.

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.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

The Principal Embedded Software Engineer leads complex embedded software development teams, assesses customer needs, manages risks, and collaborates throughout the software lifecycle.

The Lead Software Engineer will design and build secure applications, mentor junior engineers, and enhance product performance while ensuring security and reliability. Requires experience in API development and distributed systems.

The Staff Software Engineer will lead the development of cloud-side ML infrastructure, focusing on real-time computer vision and LLM applications, while mentoring team members and improving operational reliability.

Lead design, build, deploy, and support a new AI-driven enterprise SaaS platform. Own features end-to-end, drive technical designs, mentor engineers, enforce best practices, perform expert code reviews, and ship scalable production Python services with AI-assisted engineering workflows.

Design and build detection and telemetry pipelines, write high-signal detections for identity, cloud control plane, and exfiltration, own incident response/playbooks/on-call, close telemetry gaps with engineering, apply detection-as-code and metrics-driven response, and detect AI-specific abuse using AI augmentation.

Design, build, and operate resilient cloud infrastructure and platform services. Lead cross-team projects, mentor engineers, define SLOs, automate CI/CD and IaC, improve reliability, and own medium-to-large infrastructure features.

Lead design and build of scalable, cloud-native applications on Azure; drive front-end development (Angular/React), database architecture (SQL Server), microservices and event-driven APIs, CI/CD and DevOps practices, mentor engineers, and ensure secure, high‑quality software delivery aligned to business goals.

Lead test strategy and build scalable automated test frameworks for a custom Linux kernel. Validate performance, reliability, and security; develop test suites for kernel enhancements and VM software; debug low-level system issues; enhance CI/build automation; provide technical leadership and mentor junior engineers.

Lead test strategy and build scalable automated frameworks to validate performance, reliability, and security of a custom Linux kernel for AI/Compute platforms. Design CI/CD and build automation, develop test suites for kernel and VM software, debug low-level system issues, benchmark performance, and provide technical leadership and mentoring.

Design and build resilient platform features for microservices and real-time event-driven systems. Propose architectural improvements, support a large development community, and collaborate with investment and engineering teams to productionize complex investment strategies.

Lead full‑stack engineering for cloud‑native digital SME platforms: design and build frontend and backend systems, APIs, integrations, and databases; drive architecture decisions; own features through deployment and support; mentor engineers; promote engineering best practices, observability, and secure, scalable solutions.

Design, build, and evolve secure, reusable platform capabilities (AI runtime safety, AI gateway, CI/CD, IaC, cloud infra) to enable developer teams. Lead cross-functional alignment, operationalize monitoring and support, improve developer experience, mentor engineers, and drive adoption of paved-road secure delivery workflows.