Top Engineering Jobs in Boston, MA

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 engineering teams responsible for Datadog Agent developer experience, build systems, correctness, performance benchmarking, and software supply-chain security. Evolves SDLC practices for a complex multi-language, multi-platform open-source project, including AI coding enablement, CI/CD, build infrastructure, testing, and reliability. Hires, mentors, and develops engineering managers and staff engineers across global teams while balancing velocity, security, and long-term platform investments.

Electrical Engineering Co-Op supporting Bose’s premium consumer audio team through sensor technology development, prototype design and validation, data analysis, electronics miniaturization, and product development activities. The role includes Cadence library creation and AI-enabled automation, hands-on laboratory experimentation, hardware debugging, and collaboration with experienced engineers. Candidates should be pursuing an electrical engineering degree and have experience with mixed-signal hardware, digital buses, lab equipment, simulation, schematic capture, and PCB layout.

Mechanical Engineering Co-op supporting the design and development of Shark consumer products. Responsibilities include concepting, CAD modeling, prototyping, testing, data analysis, design reviews, feasibility analysis, technical documentation, and product iteration. The role provides hands-on exposure to materials, mechanisms, manufacturing, electronics, reliability, and mass production while collaborating with engineers, designers, and product managers.

Supports mechanical product development for Shark consumer products across concepting, CAD modeling, prototyping, testing, data analysis, design reviews, and technical documentation. The intern collaborates with engineering, design, and product teams while gaining hands-on experience with materials, mechanisms, manufacturing, electronics, feasibility analysis, and product reliability throughout the full product lifecycle.

Supports electrical engineering development and testing for consumer products. Responsibilities include designing and testing analog and digital circuits, board bring-up, embedded electronics debugging, validation, simulation, prototyping, failure analysis, documentation, and cross-functional collaboration. The co-op gains hands-on laboratory experience with real products and engineering test equipment while working onsite with senior engineers and product teams.

Lead and scale a global systems engineering function to define system architectures, requirements, verification/validation, and reliability for connected consumer appliances. Drive MBSE, cross-functional integration (mechanical, electrical, firmware, software, cloud), platform reuse, technical governance, risk mitigation, and organizational capability building to deliver products from concept through commercialization.

Leads and develops a team of engineers through product design, CAD, prototyping, design verification, and production readiness. Owns mechanical designs end to end, optimizing for quality, cost, manufacturability, materials, and consumer value. Collaborates with international product development teams and cross-functional stakeholders. Requires strong mechanical engineering fundamentals, hands-on fabrication experience, CAD expertise, test data analysis skills, and a track record of solving complex engineering problems.

Leads WHOOP’s Firmware organization, setting technical strategy, scaling multiple embedded software teams, and developing engineering leaders. Owns reliable delivery across new products and sustaining work while improving architecture, testing, CI/CD, release practices, and quality. Guides firmware decisions for power, performance, accuracy, cost, and long-term platform health, partnering across hardware, algorithms, mobile, manufacturing, quality, product, and program management.

Lead the engineering organization responsible for large-scale generative AI training infrastructure, including distributed training, reinforcement learning, GPU scheduling, fault tolerance, model experimentation, and cost governance. Define AI platform strategy, responsible AI standards, observability, governance, and long-term roadmaps. Partner with research, product, compliance, and risk teams while hiring, mentoring, and developing technical talent across multiple teams.

Manages engineering teams supporting investments technology platforms. Responsibilities include hiring, resource allocation, coaching, performance management, technical guidance, agile delivery, platform maintenance, stakeholder collaboration, vendor coordination, talent development, budget planning, and technology evaluation. The role partners with product owners and architects to align teams with business objectives, improve effectiveness, remove obstacles, manage technical debt, and deliver quality software solutions.

Leads multiple engineering teams building internal platforms, web applications, AI-powered workflows, integrations, data pipelines, and automation. Sets technical direction, oversees architecture and delivery, partners with product and business stakeholders, and develops engineering talent. The role emphasizes front-end development with TypeScript and React, CMS integrations, internationalization and localization, scalable SaaS systems, AI-enabled marketing workflows, and operational productivity improvements.

Lead a hands-on engineering team building and shipping features for a modern trucking transportation management system. Partner with Product and Design to shape roadmaps, contribute to Ruby on Rails and React development, mentor engineers, maintain engineering quality, understand customer workflows, and deliver improvements quickly in a fully remote environment.

Leads Motorsports Data Infrastructure and Data Science teams while owning the strategy, architecture, and delivery of data platforms supporting telemetry, simulation, trackside, analytics, and AI/ML use cases. Responsibilities include managing managers, designing streaming and batch pipelines, productionizing ML models, setting engineering standards, managing Azure and Databricks capacity, protecting sensitive data, and partnering with racing and executive stakeholders. The role remains hands-on in architecture, coding, code review, incident support, and technical problem-solving.

Lead Affirm’s App Infrastructure team, defining the mobile architecture and roadmap while improving developer productivity, reliability, performance, and engineering quality. Manage and grow senior engineers, align cross-functional stakeholders, and contribute hands-on to mobile platform and tooling development. The role requires extensive mobile and web engineering experience, React Native expertise, engineering management experience, and a record of delivering and scaling consumer mobile applications.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Own full-cycle recruiting for Samsara’s North America Sales Engineering team. Responsibilities include sourcing and engaging candidates, managing requisitions, advising hiring leaders, coordinating interviews, negotiating offers, analyzing recruiting data, advocating for diversity, maintaining ATS records, and improving recruiting processes and candidate experience.

Leads a team building device intelligence and reverse-engineering capabilities for xOT cybersecurity products. Sets technical strategy for device and protocol coverage, establishes documentation and testing standards, drives automation and AI-assisted development, collaborates cross-functionally, supports customer deployments and incident response, and remains hands-on with code reviews, design reviews, and production debugging. The role also owns hiring, mentoring, team growth, and engineering community development.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

The Director of Field Sales Engineering leads a team focused on incubating new products, driving adoption, and ensuring cross-functional collaboration to deliver technical value to customers.

Leads cloud security advisory engagements across IaaS, PaaS, and SaaS environments. Develops security strategies, architectures, controls, monitoring, and incident response processes; directs risk assessments and vulnerability testing; advises executive clients; drives business development and thought leadership; and mentors security leaders and teams.

Leads cloud security engagements across IaaS, PaaS, and SaaS environments. Designs security architecture and controls, conducts risk assessments and vulnerability testing, manages monitoring and incident response, tracks remediation, and develops technical deliverables. The manager coaches team members, oversees project quality and timelines, addresses stakeholder issues, and identifies opportunities to improve cloud security through automation and emerging technologies.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads Takeda’s next-generation biologics strategy and programs from discovery through candidate selection and IND-enabling development. Builds multispecific biologics, protein engineering, AI-enabled design, computational biology, automation, and high-throughput experimentation platforms. Integrates discovery, translational, CMC, regulatory, clinical, and business functions while advancing portfolio value. Recruits and develops multidisciplinary scientific talent, establishes governance and partnerships, and drives measurable improvements in discovery productivity, differentiation, decision quality, and pipeline success.