Top Principal Engineer Jobs in Boston, MA

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

Lead design, development, and deployment of production-grade AI systems (LLM apps, retrieval pipelines). Own technical direction, ensure scalability, reliability, security, and responsible AI. Drive MLOps, model evaluation, monitoring, and mentor engineers while partnering with product and business stakeholders.

Design, implement, and standardize robotics control solutions (PLC/HMI/SCADA/motion) for GMP manufacturing, lead FAT/SAT/commissioning, support validation and integration with IIoT/digital systems, manage vendors and projects, mentor staff, and ensure compliance with GxP/GAMP and data integrity. Travel up to 25% to support global project execution.

The Principal Engineer will lead electronic systems development for atomic clocks, mentor engineers, and collaborate across teams on design execution.

The Principal Engineer - Process will support manufacturing and development of the Chip Scale Atomic Clock, focusing on process optimization, materials analysis, and lean manufacturing methodologies.

Lead development, monitoring, and optimization of wafer fab processes (photo, etch, deposition, diffusion) to improve yield, cycle time, cost, and equipment reliability. Create/update process specs, qualify new equipment, apply SPC/DoE and Six Sigma, analyze data (Excel/JMP), present results, and lead cross-functional teams to resolve production issues.

The Principal Software Engineer will design AI-native systems, set standards for development processes, lead engineering practices, and deliver autonomous workflows to enhance business outcomes in wealth management technology.

The Principal Full Stack Software Engineer will design, develop, and mentor teams in building scalable web applications, influencing architecture and engineering standards in AI and cloud technologies.

Responsible for ensuring security and integrity in technology operations, providing expertise in security engineering, and collaborating with teams to embed security measures in API design and deployment.

Design, implement, and maintain DevSecOps features for cloud-native and on-prem database platforms. Collaborate with product and cross-functional teams, follow development workflows (source control, code reviews, CI/CD), write automated tests, and support security, configuration, monitoring, licensing, and upgrades across Kubernetes and traditional deployments.

Lead architecture and evolution of Kubernetes-based cloud and hybrid platforms. Design scalable, secure, multi-cluster platform capabilities, drive multi-year roadmaps, mentor senior engineers, lead incident response and platform transformations, and enable developer productivity across hundreds of teams.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

Lead technical architect and hands-on principal engineer for the SOC Experience team, building scalable investigation workflows, agentic LLM features, automation, remediation actions, and analyst tooling. Drive architecture, mentor engineers, prototype solutions, ensure reliability and observability, and partner with product, UX, and SOC stakeholders to turn operational problems into auditable, production-grade systems.

Lead technical pre-sales and strategic advisory for Zero Trust Cloud solutions across hybrid and multi-cloud environments. Drive Proof-of-Value engagements, collaborate with sales, SEs, and product teams, influence product roadmap, and present Zero Trust strategies to technical and executive stakeholders to accelerate regional GTM.

Lead the research and development of algorithms for motion planning in autonomous driving, integrating predictive systems and mentoring team members.

The Senior Principal Engineer will define and develop system architectures for high-speed industrial products, collaborating closely with customers and stakeholders. Responsibilities include product definition, development, and support, along with participation in business development and technical troubleshooting.

The Security Engineering Manager oversees IT security policies, manages incident response, tracks threats, engages with IT teams, and provides regular incident reporting.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

The role involves leading security initiatives, building security tools, conducting vulnerability assessments, and collaborating with teams to enhance cloud security and risk management.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Design, build, and maintain MLOps software systems and ML pipelines; deploy, test, and monitor AI/ML models on cloud-native platforms; implement ETL and data workflows; ensure model performance, security, and scalability; lead technical roadmap, mentor engineers, and evaluate emerging MLOps tools.

Lead architecture, design, and development of embedded electronic systems including hardware, firmware (C/C++), PCB design, test and production software, system bring-up, troubleshooting, and manufacturing support while mentoring junior engineers.

Oversee complex projects for public sector and commercial clients, ensuring delivery, managing risks, and leading teams in digital transformation using Salesforce.

The Principal Model-Based Systems Engineer will lead development programs using MBSE approaches, mentor teams, and implement digital engineering goals, focusing on DoD systems.