Top Engineering Jobs in Boston, MA

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Develops AI-agent workflows for active noise cancellation engineering. Responsibilities include documenting expert workflows, refactoring MATLAB and Python tools, connecting engineering functions to LLM agents, building evaluation frameworks, implementing safety safeguards, prototyping demonstrations, and presenting results. Candidates need strong Python skills, MATLAB familiarity, signal-processing knowledge, LLM API or agent-building experience, and clear technical communication. Preferred experience includes adaptive filtering, acoustics, control systems, Simulink, agent frameworks, ML evaluations, and measurement datasets.

Leads client-facing enterprise and cloud security engagements across IaaS, PaaS, and SaaS environments. Responsibilities include cloud security architecture, control design, risk assessments, vulnerability testing, security reviews, threat monitoring, and coordinating network, endpoint, identity, and cloud infrastructure safeguards. The role translates technical findings into business-aligned recommendations, directs teams through complex challenges, coaches team members, and prioritizes critical risks for client decision-making.

Supports product test engineering and consumer-focused product development for SharkNinja products. Responsibilities include optimizing post-purchase materials, defining replacement-component specifications, developing product performance and user-experience targets, answering cross-functional product questions, coordinating product information and consumer research, and analyzing competitive landscapes. The role requires strong communication, organization, project management, adaptability, and collaboration across engineering, design, marketing, and other teams.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Lead architecture and delivery of complex AI-native software features for ServiceNow Flow. Build agent runtimes, tool integrations, prompt and context layers, retrieval systems, evaluation frameworks, and human-in-the-loop controls. Establish AI-assisted development practices, mentor engineers, set engineering standards, partner cross-functionally on product delivery, and own production quality, observability, release readiness, and defect resolution.

Lead architecture and delivery of AI-native software for Flow’s conversational service desk. Build agent runtimes, tool integrations, prompt and context layers, retrieval systems, and evaluation harnesses. Establish AI-assisted development practices, mentor engineers, set standards for quality and observability, and partner across product and engineering. Own production quality, defect triage, release readiness, and governance for reliable, secure, enterprise-scale AI capabilities.

Develop and support AI-powered HR applications, services, integrations, intelligent automation, and agentic workflows. Translate HR stakeholder needs into technical solutions, write and debug production code, troubleshoot systems, optimize performance, and participate in engineering practices including design reviews, testing, deployment, and operational support.

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.

Lead enterprise AI engineering strategy and teams building scalable agentic AI platforms. Oversee foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and AI operations. Drive build-versus-buy decisions, optimization, responsible AI practices, multi-year technical roadmaps, and cross-functional alignment while developing senior engineering talent and supporting hundreds of production use cases.

Design and implement cloud security controls across IaaS, PaaS, and SaaS environments. Conduct risk assessments, vulnerability reviews, security testing, and threat monitoring; support remediation of vulnerabilities and control gaps; document technical findings and requirements; advise clients on cloud security improvements; collaborate with technical teams; mentor junior staff; and build client relationships within PwC’s Advisory practice.

Quality Engineering Co-op supporting consumer product quality through teardown and failure analysis, lab-based failure reproduction, complaint and review trend analysis, test-method improvement, root-cause documentation, and presentations to engineering and product development stakeholders.

Design and Engineering Co-op supporting advanced development of SharkNinja consumer products. Responsibilities include designing and evaluating prototypes, building circuits and test fixtures, conducting verification and validation testing, collaborating on manufacturability and cost optimization, and participating in design reviews. The role applies electrical and physical engineering principles, embedded systems concepts, and hands-on prototyping to develop innovative products.

Supports development of wearable, biosensing, and biomedical devices through prototyping, testing, physiological data analysis, and design refinement. The role applies mechanical engineering, biomechanics, signal processing, and control systems concepts while using MATLAB or Python to analyze data and develop models. Responsibilities include evaluating sensor-enabled systems, participating in technical reviews, considering safety and usability, and collaborating with engineers, designers, and product teams on health-focused products.

Lead a team for large diameter pipeline projects, ensuring design, analysis, and compliance. Interact with clients and mentor junior staff.

Lead the architecture, roadmap, and delivery of Tulip’s identity and access platform, including SSO, federation, SCIM provisioning, multi-tenant account structures, authorization, and access policy across AWS and Azure. Manage and develop a small software engineering team, maintain high code and operational standards, support architecture decisions, and drive responsible AI tooling adoption in development workflows.

Develop an FPGA-based research platform for real-time audio and active noise reduction. Responsibilities include integrating audio converters and interfaces, designing supporting circuits, developing FPGA logic, troubleshooting hardware, evaluating MATLAB/Simulink integration, implementing DSP examples, conducting audio measurements, characterizing performance, and documenting repeatable testing procedures.

Lead the architecture and delivery of an agent-native app-building product while managing and mentoring a team of 3–5 engineers. Establish engineering standards for testing, observability, and AI-driven development; partner with infrastructure and product teams; and build scalable SaaS and agentic AI systems involving orchestration, context management, retrieval, vector stores, tool invocation, and evaluations.

Leads a software engineering team responsible for Tulip’s no-code application authoring, runtime, governance, backend services, and agentic AI integrations. The role owns delivery, technical direction, architecture, operational health, testing, deployment, incident response, and technical debt reduction. Responsibilities include hiring, mentoring, developing engineers, establishing engineering standards, promoting AI-first development, and collaborating with product, design, infrastructure, operations, QA, and customer teams.

Design, build, automate, and operate enterprise security infrastructure across endpoint, network, cloud, identity, and data center environments. Develop GitOps workflows, infrastructure-as-code modules, policy automation, CI/CD pipelines, monitoring, remediation, and self-healing capabilities. Lead complex security engineering initiatives, establish standards, improve reliability and compliance, evaluate emerging automation tools, and mentor engineers.

Full-time, in-person engineering co-op supporting a 5G Standalone O-RAN test bed. Responsibilities include configuring Linux networking and RAN components, integrating core-network systems, developing Python or shell automation, troubleshooting interoperability issues, documenting experiments, and conducting hands-on wireless communications testing. The role requires a relevant technical degree in progress, U.S. citizenship, and the ability to obtain a national security clearance.

Leads Boomi’s commercial Americas Solution Engineering organization, overseeing presales strategy, team development, technical sales execution, executive customer engagement, solution architecture, sales governance, PoC and RFP qualification, performance analytics, and cross-functional collaboration with Sales, Product, Engineering, Professional Services, and Customer Success.

Leads and develops a post-sales Customer Engineering team serving strategic enterprise customers. Oversees technical discovery, solution design, integrations, automation, validation, handoffs, prioritization, and measurable customer outcomes. Establishes engagement models, capacity planning, quality standards, documentation, and operating cadences. Partners with Product, Engineering, Customer Success, Implementation, Sales, and Solutions Engineering to convert customer needs into reusable solutions, improve adoption, and support retention and expansion.

Leads software engineering across broker productivity products and core platform squads. Owns engineering delivery, infrastructure and security roadmaps, cross-squad practices, migrations, integrations, testing, and compliance remediation. Partners with product and company leadership, hires and develops senior engineers and tech leads, and builds scalable engineering management structures. The role remains hands-on through design reviews, specifications, code reviews, and technical spikes.

Leads the regional pre-sales engineering organization for major accounts, managing SE leaders and principal architects. Owns technical go-to-market strategy, capacity planning, proof-of-value governance, technical win rates, pipeline generation, account expansion, executive customer engagement, and workforce development. Partners with Sales, Customer Success, Product, and Engineering to improve revenue outcomes, provide product feedback, and modernize field engineering through AI tooling and automation.