Top Engineering Jobs in Boston, MA

The End-to-End Systems Lead oversees the full technical lifecycle of systems, ensuring user requirements are met through quality system delivery and integration across multiple teams.

The Hardware Section Manager will lead teams in designing, developing, and deploying advanced technology systems, focusing on RF, electrical, mechanical engineering, and firmware, while ensuring effective staffing, technical execution, and collaboration across disciplines.

Lead the On-The-Go DSP team delivering DSP systems for wearables and portable audio. Own technical direction, architecture, and delivery commitments; drive DSP infrastructure, reuse, and scalability; collaborate with product, firmware, systems, research, and UX teams; coach and grow experienced DSP engineers; remove barriers and prioritize work to enable execution and integration of ML-based audio technologies into production.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

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

Lead the software engineering strategy, driving AI adoption and managing a high-performing team to streamline operations and enhance customer experiences for connected beverage machines.

Lead and grow an engineering team (up to 12), own kanban-based delivery, translate business priorities into measurable outcomes, recruit and develop engineers, model AI-native practices, partner with Principal Engineer on technical direction, and maintain clarity and accountability across stakeholders.

The Senior Security Engineering Manager oversees security policy compliance, manages incident response, tracks threats, and coordinates investigations, ensuring operational stability.

Lead a mechanical engineering team to deliver home environment products from concept through mass production. Own CAD, prototyping, DFMEA, tolerance analysis, tooling/DFM reviews, validation testing, and mechanism design. Manage 2–4 direct reports, run multiple concurrent programs, coordinate with global partners (Asia/Europe), and present technical status and risks to executives.

Lead and grow multiple product-focused engineering teams to design, build, deploy, and operate scalable, highly available full-stack and microservice solutions on AWS. Mentor engineers, drive engineering practices, break monoliths into microservices, improve velocity, and collaborate with product managers to deliver finance-focused systems including event-driven streaming and integrations.

Lead the design of biotherapeutics using AI/ML methods. Collaborate with teams to implement workflows, optimize antibody engineering, and analyze large biological datasets.

Lead AI-enabled cybersecurity strategy, transformation, and engineering engagements. Design and architect generative/agentic AI solutions, build AI-powered threat models and governance, manage teams and client relationships, and implement enterprise cyber risk controls to scale security capabilities.

Lead cloud security strategy and delivery across multi-cloud environments (IaaS/PaaS/SaaS). Design secure architectures, governance, IAM/zero trust, IaC standards, CSPM/CNAPP programs, data protection, resilience, and AI/ML security. Advise executives, drive business development, build teams, and create firm accelerators and vendor alliances.

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 delivery of OT/ICS cybersecurity engagements: design and implement industrial security solutions, manage client accounts and teams, mentor staff, assess risks and compliance, and drive continuous improvement in critical infrastructure security.

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.

Design, develop, test, and deliver enterprise software solutions for Tax clients. Collaborate with teams and clients to gather requirements, implement APIs and integrations, apply CI/CD, perform code reviews, troubleshoot and optimize applications, and support quality assurance practices.

Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.

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 design and implementation of cloud, container, and application security across CSPs (IaaS/PaaS/SaaS). Manage client relationships and teams, apply DevSecOps practices, perform risk assessments and vulnerability testing, configure policy frameworks (CNAPP), and provide secure coding/cloud security training and mentorship to drive secure delivery and continuous improvement.

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 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.

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 development and deployment of data-driven software solutions within the Tax practice. Manage client relationships, guide teams in design/coding/testing, enforce coding standards, implement CI/CD, integrate enterprise applications, conduct code reviews, mentor staff, and ensure projects are planned, budgeted, executed, and completed to meet client expectations.

Lead delivery of innovative software solutions within Tax practice: set strategy, oversee design/coding/testing, manage client engagements, drive business development, mentor teams, and promote API management, CI/CD and modern application development practices to produce high-impact solutions.