Top Engineering Jobs in Boston, MA

Leads and manages a software engineering team of up to 12 engineers developing core physiology services. Responsibilities include technical strategy, architecture, feature delivery, software development standards, testing, deployment, operational excellence, continuous improvement, mentorship, hiring, performance management, and cross-functional stakeholder alignment. The role requires strong backend production experience, familiarity with distributed systems and cloud infrastructure such as AWS, and a commitment to reliable, high-quality software in a collaborative startup environment.

Lead firmware program planning and execution for new wearable devices from concept through production and launch. Coordinate Firmware, Hardware, Connectivity, Manufacturing, Sensor Intelligence, Automated Test, and external partner teams. Manage schedules, roadmaps, dependencies, risks, capacity planning, milestone readiness, executive communications, validation, manufacturing bring-up, and launch activities across multiple embedded hardware programs.

Lead the Health Records engineering team, defining technical strategy and architecture for secure, scalable systems that ingest, process, govern, and expose clinical health data. Manage hiring, coaching, performance, and succession planning while partnering with Product, Design, Data Science, Security, and Platform Engineering. Drive cross-functional execution, operational excellence, privacy, regulatory compliance, and reliable healthcare platform delivery.

Leads enterprise Security Engineering and Security Operations strategy, teams, technical standards, roadmaps, and measurable outcomes. Oversees detection and response, incident readiness, security automation, identity, cloud, endpoint, SaaS, data protection, and AI security. Manages significant incidents, security partners, organizational design, hiring, and cross-functional collaboration while developing managers, engineers, and analysts. Partners with the CISO to strengthen security posture and operational performance in a sensitive-data technology environment.

Lead cross-functional hardware engineering projects from kickoff through launch, including continuous improvement, yield enhancement, and electromechanical redesign initiatives. Create project plans, coordinate engineering builds with manufacturing partners, manage risks and dependencies, and drive resolution of technical and organizational blockers. Collaborate with engineering, manufacturing, firmware, and supply chain teams to improve product performance, cost, quality, and execution reliability.

Leads electrical engineering for WHOOP’s wearable hardware platform, managing engineers and guiding electrical architecture, design, validation, reliability, manufacturing, cost reduction, and system integration. The role owns electrical development across the product lifecycle, investigates field and production issues, and collaborates with suppliers and contract manufacturers to improve testing and production yield.

Leads and manages an AI Quality engineering team responsible for evaluating and improving AI outputs. Defines testing frameworks for model performance and drift, establishes technical strategy and architecture, provides technical direction, manages technology vendors and partnerships, drives engineering quality improvements, and mentors team members.

Leads WHOOP’s Analytics Engineering function by owning the analytics data model, semantic layer, data quality standards, and analytics platform strategy. Manages and develops a team of Analytics Engineers, partners with Data Platform Engineering, establishes development and governance practices, and drives cross-functional data initiatives. The role also communicates data architecture, strategy, and roadmap to senior leadership while evaluating modern analytics and AI-ready data technologies.

Leads and mentors a cross-functional engineering team building platforms spanning embedded systems, mobile, backend, and third-party services. Defines technical strategy, architecture, and scalable solutions for research initiatives; partners with stakeholders, manages vendors, maintains development and testing best practices, contributes technically as a player-coach, and supports team growth and delivery.

Leads and grows a software engineering team building localization, translation, internationalization, RTL, and design-system platforms across mobile, web, and backend services. Owns roadmap execution, vendor and API integrations, developer tooling, reliability, monitoring, workflow improvements, and scalable language expansion. Partners with Product, Design, QA, Marketing, infrastructure teams, and external vendors while mentoring engineers and balancing feature delivery, infrastructure investment, and technical debt.

Leads a 2–4 person engineering team while remaining hands-on in a TypeScript codebase. Owns delivery planning, performance management, career development, technical contributions, incident response, team health, quality, and compliance. Partners with Product, Design, and engineering teams to translate strategy into reliable software, manage risks and dependencies, remove blockers, and improve productivity through AI-enabled engineering practices.

Lead Apollo’s Rep Experience engineering team building prospecting, account management, task orchestration, dashboards, and AI-driven recommendations. Responsibilities include technical decision-making, architecture, planning, coding mentorship, hiring, people management, on-call sustainability, estimation, process improvement, and cross-functional collaboration with Product, Design, GTM, and engineering leadership.

Design and develop scalable, highly available software systems for NinjaOne’s IT Operations platform. Build Java and Kotlin applications, implement enterprise design patterns, optimize systems serving millions of endpoints, and contribute production code. Responsibilities include REST service development, relational database work, client-server messaging, caching, scalability improvements, and quality testing. The role collaborates with engineers to deliver reliable cloud services supporting worldwide operations.

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.

Software Engineering Interns will build and ship high-impact software projects across product, infrastructure, customer experience, mobile, and security teams. Responsibilities include designing, developing, testing, and deploying features; collaborating with multidisciplinary teams; participating in agile development and prototyping; applying user-centered design; and learning through mentorship, technical talks, and feedback. The internship is virtual, full-time, and lasts 12 weeks during Summer 2027.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads engineering teams building responsible, scalable AI systems and products. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability, and production deployment. Makes build-versus-buy decisions across AI technologies, develops LLM optimization techniques, shapes foundational AI roadmaps, and recruits and mentors engineering talent. Partners with research, engineering, product, and program teams to deliver high-performance AI capabilities.

Lead a multidisciplinary robotics engineering team developing autonomous consumer products from concept through mass production. Own robotic system design, mechanical and electrical integration, embedded controls, sensors, actuators, batteries, prototyping, testing, verification, and validation. Drive improvements in cost, manufacturability, quality, reliability, and consumer value while collaborating with international product teams and executives. Hire, mentor, and develop engineers while delivering robust robotic systems.

Develop and refine consumer product concepts through mechanical design, CAD modeling, prototyping, testing, and iteration. Collaborate with industrial design, electrical engineering, marketing, and manufacturing teams across the product lifecycle. Conduct design studies and technical investigations, build physical prototypes, perform user testing, and resolve mechanical, usability, performance, ergonomics, and manufacturability challenges.

Leads Agent Assist, Workflow, and Tooling engineering teams; sets technical strategy; architects scalable customer-care systems; delivers AI/ML solutions; oversees modernization, DevOps, security, reliability, roadmap planning, and cross-functional execution. Builds and mentors engineering managers and senior engineers while driving operational excellence and improved customer and agent experiences.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

Own Tier 3 escalations and incident response for complex customer issues involving a cybersecurity platform. Investigate distributed systems, reproduce defects, coordinate resolutions with engineering and product teams, and build Datadog observability dashboards, monitors, and alerts. Create runbooks, troubleshooting guides, RCAs, and postmortems; mentor support staff; identify recurring failure patterns; communicate with customers; and participate in an application-layer on-call rotation.

Lead and mentor the software engineering team responsible for PSA Set Registry, a large-scale consumer web and mobile product. Drive architecture, development, delivery, code quality, release management, production troubleshooting, and technical strategy. Partner with product, design, and business teams to translate requirements into scalable solutions while promoting agile practices, collaboration, continuous learning, and an inclusive engineering culture.

Develops and executes integration plans for space and ground systems supporting military remote sensing missions. The role evaluates and validates system performance, mitigates integration risks, manages configuration changes, and supports DoD acquisition, sustainment, logistics planning, and lifecycle documentation. Responsibilities span system-of-systems, system, segment, and element levels while coordinating with engineers, analysts, logisticians, and financial managers.

Versar offers SkillBridge internship for transitioning service members, providing hands-on experience in various fields including logistics, engineering, and IT.