Top Engineering Jobs in Boston, MA

Engineering and technology interns support the design, development, testing, validation, and troubleshooting of connected consumer products and software. Depending on team placement, work may involve electrical and embedded systems, robotics, cloud and mobile applications, web technology, IT support, quality assurance, test automation, product safety, or environmental compliance. Interns build prototypes and test fixtures, analyze data, investigate failures, collaborate cross-functionally, and own projects through presentation to company leaders.

Leads advanced product development across multiple categories, owning early concept development, design storytelling, platform exploration, and innovation strategy. Partners with engineering, R&D, product development, and marketing leaders to create commercially viable, manufacturable products. Builds and manages a multidisciplinary team of engineers, designers, and managers while driving complex global initiatives, technical problem-solving, and scalable development processes.

Design engineering co-op supporting consumer products from concept through launch. Responsibilities include developing CAD models, creating mechanical concepts, building and testing prototypes, conducting design studies, resolving performance and usability challenges, and iterating toward manufacturable solutions. The role collaborates with industrial design, electrical engineering, marketing, and manufacturing teams and requires hands-on experimentation, strong communication, mechanical engineering fundamentals, and user-centered product design skills.

Supports early-stage consumer product innovation through user-centered concept development, CAD design, physical prototyping, testing, and iteration. Collaborates with industrial design, mechanical engineering, and cross-functional teams to solve technical and user-experience challenges. The role emphasizes ergonomics, aesthetics, mechanical principles, hands-on fabrication, user testing, and translating real-world problems into viable product solutions.

Engineering and technology co-op opportunities across electrical, embedded, software, robotics, digital, quality, test, safety, and IT teams. Co-ops contribute to product design, prototyping, testing, debugging, data analysis, software development, compliance, and technical project coordination. Responsibilities may include circuit and firmware development, control algorithms, mobile and cloud applications, automated test systems, quality investigations, product safety, and IT support. Candidates work hands-on with experienced engineers and own projects through the product development lifecycle.

Mechanical Engineering Interns will support the development of SharkNinja home products through concepting, CAD modeling, prototyping, testing, data analysis, design reviews, feasibility studies, and technical documentation. They will collaborate with engineering, design, and product teams while gaining hands-on experience with materials, mechanisms, manufacturing, electronics, and mass production. The role requires full-time onsite work in Needham, Massachusetts.

Develop and test next-generation home products through concepting, CAD modeling, prototyping, design reviews, feasibility analysis, and performance validation. Collaborate with engineers, designers, and product managers across the product lifecycle. Apply mechanical engineering fundamentals, hands-on fabrication, electronics familiarity, data analysis, and technical problem-solving to improve product functionality, reliability, and manufacturability.

Designs and owns scalable CI/CD pipelines, distributed build and test infrastructure, release automation, and engineering workflows. The role improves pipeline reliability, performance, observability, test parallelization, and release quality across multiple teams. Responsibilities include troubleshooting complex infrastructure failures, evolving branching and versioning strategies, integrating quality gates, leading technical initiatives, mentoring engineers, and applying validated AI-assisted engineering workflows.

Leads a team of software developers and a portfolio of technology projects focused on risk management and regulatory solutions. Builds and deploys cloud-based, AI-powered full-stack applications using distributed microservices and modern databases. Collaborates with product managers and cross-functional partners, mentors engineers, evaluates code, drives technology adoption, and oversees robust solutions using AWS and related technologies.

Lead and grow WHOOP’s Analytics Engineering team while owning the quality, scalability, and evolution of its analytics transformation layer. Build reliable, documented, tested data models; translate business and analytics needs into scalable solutions; and coordinate with Data Engineering and Analytics Platform on pipelines, contracts, and architecture. Establish dbt and software-engineering standards, manage team priorities and roadmap execution, and support AI-ready analytical data and development workflows.

Manage delivery of a portfolio of AI and data science projects from planning through implementation. Coordinate technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Lead Agile ceremonies, drive accountability, translate AI capabilities into actionable requirements, and proactively identify and mitigate risks across complex, concurrent initiatives.

Leads and grows an enterprise Sales Engineering team while owning technical sales processes, discovery, demos, proof-of-value methodology, customer value realization, and field-to-product feedback. The role requires enterprise pre-sales expertise, hands-on implementation experience, technical architecture knowledge, AI-enabled sales practices, and the ability to engage both technical and executive stakeholders. Travel to customer meetings and workshops is expected 25–50% of the time.

Lead the Purchase team, mentor engineers, drive AI-native practices, manage product development, and define consumer-facing AI solutions for CarGurus.

Leads global connected-device firmware architecture and delivery across wireless connectivity, embedded displays, companion apps, cloud integration, security, OTA updates, certification, and automated testing. Establishes portfolio-wide standards, governs internal and outsourced development, directs ODM/JDM partners, builds engineering capability, and owns schedule, quality, and scope for connected firmware programs.

Lead the Cloud Platform engineering team responsible for scaling and operating nRF Cloud, an IoT platform supporting millions of devices. Own reliability, performance, infrastructure, databases, security, observability, and the technical roadmap. Manage team productivity, culture, hiring, and cross-functional alignment while remaining hands-on through architecture, code reviews, and production debugging. Drive platform excellence, sustainable on-call practices, and pragmatic technical investment.

Leads data scientists and machine learning engineers developing personalized customer experiences at scale. Sets team strategy, roadmaps, and priorities; partners with Product, Engineering, Marketing, Revenue, and Data Science leaders; guides machine learning systems through development, deployment, monitoring, and optimization; advances MLOps, software engineering, experimentation, and production reliability; and manages capacity, resources, technical standards, and team development.

Leads electrical engineering execution for a WHOOP hardware product line across new product introduction and continuous improvement. Oversees the full product lifecycle from concept and requirements through design, validation, manufacturing ramp, sustaining, and failure analysis. Builds and develops the electrical engineering team, sets technical direction, manages risks, improves engineering processes, and partners cross-functionally with mechanical, firmware, systems, battery, manufacturing, quality, supply chain, and product teams.

Lead hardware engineering programs from concept through launch, managing cross-functional teams and engineering project managers. Oversee continuous improvement, supply chain resiliency, electromechanical redesigns, manufacturing builds, project portfolios, risk mitigation, and executive prioritization. Coordinate hardware, firmware, manufacturing, and external partners while optimizing product performance, cost, quality, timelines, and execution reliability.

Lead and manage forward-deployed software engineering teams in PwC's Tax practice. Own project planning, budgeting, execution, and delivery of API-driven, microservices-based applications. Mentor staff, implement CI/CD, ensure enterprise application integration, optimize system interactions, and collaborate with clients and support teams to resolve software issues and drive digital transformation.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Lead and coach teams to design, code, test, and deliver software solutions driving digital transformation for tax clients. Translate requirements into technical specs, perform code reviews, troubleshoot complex issues, maintain client relationships, and promote innovation and systems thinking to validate outcomes and improve products.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

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.

Lead AI-native solution architecture and end-to-end technology delivery for client engagements. Set strategy, build product roadmaps, guide engineering teams on LLM/RAG implementations, mentor leaders, drive market opportunities, and ensure quality, integration, and compliance with firm standards.

Lead and manage teams to design, build, test, and deploy enterprise software solutions. Drive CI/CD, API-driven integrations, code quality, client engagement, and process improvements while coaching high-performing teams.