Software Engineering Manager - AI Ops (Teradyne, North Reading)

About the role

We are seeking a Software Engineering Manager to lead the development of an AI-native platform for our Compute Test Division. The ideal candidate will manage the roadmap for the platform's services, including the knowledge system, agent/skill library, and AI Ops function, while building and growing the engineering team.

Responsibilities

• Collaborate with engineering teams to design, refine, and prioritize delivery of AI platform capabilities aligned with their needs
• Help drive effective AI adoption across the organization
• Own or partner closely on the AI Ops function including developing AI artifact evaluation infrastructure, AI health and adoption metrics and dashboards
• Manage the lifecycle of AI artifacts (skills, instructions, agents, MCP-style integrations) as organizational assets — creation, maintenance, quality tracking, and degradation/improvement measurement, including model evaluation and selection as the landscape evolves.
• Hire, mentor, and grow a high-performing team of platform/AI engineers.
• Drive development, deployment and support of our AI platform roadmap across engineering
• Stay ahead of the rapidly evolving AI/agentic landscape and continuously evaluate what should be adopted into the platform.
• Help evolve measurement of platform impact on engineering metrics and product outcomes.

Requirements

• 7+ years of software engineering experience, including 3+ years of direct management, project, and technical leadership experience.
• Demonstrated experience building or operating AI/ML and DevOps platform infrastructure: knowledge/retrieval systems (RAG, vector search), agent orchestration, LLM tool-use/MCP-style integration patterns, or developer-platform tooling.
• Track record of taking a platform from pilot/proof-of-concept to scaled, adopted production use across multiple teams.
• Strong technical judgment on build-vs-buy and cloud AI infrastructure
• Proven ability to inspire, mentor, and develop engineers
• Strong cross-functional collaboration skills: able to work with architects, product development teams, and governance stakeholders to drive alignment.
• Excellent communication skills — able to translate platform architecture and AI capability trade-offs for both engineers and executive stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field required

Skills

• Experience with AI/ML and DevOps platform infrastructure
• Strong technical leadership and management skills
• Excellent communication and collaboration abilities

Benefits

• Medical, dental, vision coverage
• Flexible Spending Accounts
• Roth and Traditional 401(k) plans
• Life and disability insurance
• Paid vacation & holidays
• Tuition assistance programs

Pay

The base salary range for this role is $165,700 - $265,200. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.

Schedule

N/A

Benefits

• Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more.

Equal Opportunity Employer

Teradyne is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, gender, age, religion, national origin, citizenship, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.