Top Engineering Jobs in Boston, MA

The Senior Materials Program Manager will oversee material readiness across product lifecycles, coordinate with hardware and supply teams to ensure timely material supply, and mitigate supply risks.

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.

Lead the IT function at WHOOP, building a high-performing team to enhance employee experience, security, and operational efficiency while implementing innovative technologies.

The Director will lead specialized tax services focused on energy incentives, providing advice, mentoring leaders, and ensuring operational excellence in client engagements.

The Director will advise Private Equity investors, lead transformational initiatives, develop strategies, maintain client relationships, and mentor future leaders in the SaaS and software sectors.

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

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.

The Control Systems & Algorithm Engineering Co-op will design, prototype, and validate algorithms for smart household appliances, focusing on real-time control and system optimization.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Build custom integrations and internal engineering tools connecting biotech customers' scientific and IT workflows to Benchling. Collaborate with customers, own projects end-to-end, improve APIs and developer platform, maintain testing and CI/CD, and scale tenant operations, desktop apps, Connect adapters, and MCP servers to support lab automation and trusted scientific data access.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Support avionics electrical engineering for the X-BAT across design, verification, procurement, manufacturing, and test. Perform benchtop testing with multimeter, oscilloscope, electronic load, and thermal chamber; design basic test fixtures, wire harnesses, and simple PCBs; rework boards to 0402; read and interpret schematics; collaborate on multidisciplinary hardware projects and drive project ownership and delivery.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Paid full-time co-op for rising 2027 graduates to work on autonomous aircraft hardware. Own a tailored project (PCB design, power electronics, avionics bring-up, testing/HALT), collaborate with senior engineers, and contribute to prototype development, validation, and reliability testing.

Lead the transition to an AI-first company by managing a high-density engineering team, overseeing architecture, and driving product development for enterprise customers.

Lead and manage a cross-functional engineering team in embedded QA, defining technical strategy and fostering a culture of innovation and development.

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

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.

Lead a team within the Product Unification group, managing engineering initiatives and improving customer experiences in AI software security.

Lead redesign of the Customer Success unified data model and AI data strategy. Build and optimize pipelines, integrations (contact center), testing/monitoring, and a documented semantic layer. Manage and mentor a small team, partner cross-functionally on KPIs, governance, and data quality, and ensure CS data is reliable for dashboards, reporting, and AI use cases.

Lead a team to design and operate scalable Databricks/lakehouse platforms, ETL/ELT pipelines, data models, BI dashboards, and productionized ML. Ensure data quality, governance, and deliver actionable analytics and KPIs to drive business decisions while mentoring engineers, scientists, and analysts.

Lead the Core Platform organization for a cloud-native Unified Factory Platform, owning long-term architecture, scalability, reliability, security, data architecture, and team development. Hire and coach engineering leaders, set platform standards (APIs, observability, automation), drive SLAs and KPIs, and align roadmap with product, hardware, and executive stakeholders for global SaaS deployments.