Top Engineering Jobs in Boston, MA

Leads and develops a team of engineers through product design, CAD execution, prototyping, design verification, and production readiness. Owns mechanical designs end-to-end, optimizing for quality, cost, manufacturability, materials, and consumer value. The role requires hands-on fabrication, mechanical engineering expertise, CAD proficiency, test data analysis, and collaboration with global product development teams.

Engineering internship opportunities span hardware and chip design, testing and validation, systems performance, AI and machine learning, software and tools, technical enablement, and technical product programs. Interns may build, test, debug, model, analyze, or improve technical systems using programming, hardware, simulation, data, and engineering tools. Candidates must be enrolled in a relevant technical degree program and return to their studies after the internship.

Arm’s Graduate Engineering Pathways Program offers early-career opportunities across hardware and chip design, testing and validation, systems performance, AI/ML, software tools, technical enablement, and technical product programs. Graduates work on real products, solve technical challenges, learn new technologies, and collaborate with experienced teams. Candidates must be pursuing a relevant technical or quantitative university degree and demonstrate hands-on technical problem-solving through coursework, research, internships, projects, or open-source work.

Part-time internship to learn and configure ServiceNow through training and mentorship. Work on real customer projects, write and test scripts, attend meetings and SCRUM, troubleshoot configurations, and pursue certifications.

Develop software solutions for Assurance client engagements, participating in architecture, design, coding, testing, maintenance, and code reviews. Collaborate with project teams to create scalable systems, apply computer science and engineering principles, interpret data, and provide technical insights. The role emphasizes learning, innovation, client service, teamwork, adaptability, and using AI and emerging technologies to improve financial reporting and decision-making processes.

Paid, full-time electrical engineering co-op supporting autonomous aircraft hardware development. Responsibilities may include circuit board design, power electronics simulation and verification, avionics bring-up, debugging, automated test-rack development, and HALT reliability testing. The co-op owns a project with mentorship from a senior engineer and collaborates with cross-functional engineering teams.

Electrical Engineering Interns will gather requirements, design, and validate avionics assemblies and test fixtures. They will work across power electronics, communications, RF, and related disciplines; build test stands involving relays, PLCs, PCBAs, and harnesses; use Python for test automation, analysis, and simulations; and participate in cross-functional design reviews. The internship is a 10–12-week paid program for students pursuing Electrical Engineering or a related STEM degree.

Leads engineering teams developing automation and robotic process automation solutions while advancing responsible AI-enabled transformation. Partners with product, operations, and technology leaders to modernize service processes, reduce manual effort, improve quality, and deliver employee and customer value. Responsibilities include managing complex technology development, optimizing teams, applying technology standards, building cross-functional consensus, and translating emerging technologies into practical business solutions.

Lead the infrastructure and SRE team, setting technical direction for reliable, secure, and scalable engineering systems. Hire, coach, and develop engineers; oversee multi-cloud infrastructure, Kubernetes, IaC, CI/CD, observability, incident response, support rotations, and regulated workloads. Partner across engineering, data science, security, and operations to improve developer experience and enable safe AI-assisted software delivery. Manage infrastructure roadmaps, budgets, resourcing, documentation, and organizational reliability practices.

Leads the data engineering team, including hiring, coaching, technical direction, platform architecture, data pipelines, Snowflake warehousing, governance, quality, observability, and incident support. Partners with Data Science, Analytics, Clinical Operations, Biostatistics, and Business Development to deliver trusted data products for clinical operations, asset evaluation, reporting, and machine learning. Oversees budgeting, resourcing, documentation, technical programs, and responsible use of AI engineering tools.

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 a software engineering team focused on growth initiatives including member acquisition, retention, revenue generation, experimentation, referrals, and global expansion. Defines technical strategy and architecture, collaborates with product, design, finance, and marketing, and ensures strong development, testing, and deployment practices. Provides mentorship, performance feedback, and coaching while fostering innovation, psychological safety, teamwork, and continuous learning.

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 cross-functional execution for WHOOP’s Core Algorithm Development team, coordinating engineers, data scientists, firmware, software, product, and validation teams. Owns program planning, milestones, dependencies, risk mitigation, algorithm validation, integration, release readiness, reporting, and executive communications. The role establishes scalable development and release processes to improve delivery predictability, quality, and velocity across concurrent physiological algorithm programs.

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.

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 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.

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 global IT operations and engineering strategy for a high-growth company. Responsibilities include designing scalable workplace technology, automating IT operations, embedding security and compliance controls, driving cross-functional transformation, and building a high-performing technical team. The role requires balancing architecture, speed, scalability, employee experience, financial stewardship, and business needs while delivering reliable systems and innovative IT capabilities.

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.