AI Enablement Forward Deployed Engineer (Teradyne, North Reading, MA)
At a glance
Mid-level Software Engineering role at Teradyne. North Reading · $132,100–$211,400 base.
techroles summary, based on the employer's posting.
What you'll do
- Map a partner team's workflow, data, access needs, current process, success measures and accountable owner
- Build and test a targeted platform integration, applying the agreed interfaces and suitable data and access controls
- Check outcomes against the starting point through measures such as usage, task success, quality, cost or failures
- Make the integration operable with tests, monitoring, logs, a troubleshooting guide and extendable documentation
- Guide the first release, transfer ownership and escalation details, and bring evidence for reusable platform features
What you bring
- You develop, debug, test and maintain software in at least one general-purpose language, using Git reviews, automated tests and CI
- You can turn an engineering team's workflow and constraints into a clearly scoped software integration
- You have connected services, APIs, SDKs or developer tools, handled authentication and data, and traced problems with logs or metrics
- You can verify AI-assisted code, compare results with a baseline and discuss tradeoffs with teams in new technical areas
Who this fits
This suits a hands-on engineer who can carry integrations from workflow discovery through launch and team handoff. Preferred experience includes AI agents or model APIs, C#/.NET, developer tooling, containers, Kubernetes, cloud infrastructure, observability or retrieval-enabled systems.
From the employer
Our Purpose
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought in our workforce. Our employees are supported to innovate and learn something new every day.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team — one that makes better decisions, drives innovation, and delivers better business results.
Opportunity Overview
As an AI Platform Forward Deployed Engineer, you will work directly with engineering teams across Teradyne to apply an AI platform to their real work. You will turn a team’s workflow into a focused, tested integration, show whether it improves outcomes, and leave the team able to run and extend it without you.
- Learn a partner team’s workflow, constraints, data and access dependencies, current process, success measures, and owner.
- Build and test a focused integration through agreed platform interfaces, with appropriate data and access practices.
- Compare results with a baseline using measures such as usage, quality, task success, effort, latency, cost, or failures.
- Make the integration ready to operate, with tests for main and failure paths, useful telemetry and logs, a troubleshooting runbook, and documentation others can extend.
- Support the integration through its first release, then hand it off with baseline results, an agreed owner, and an escalation path.
Bring recurring integration needs to platform owners as evidence-backed proposals for reusable capabilities.
All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.
- Develop, debug, test, and maintain software used by others in at least one general-purpose language, using Git-based workflows (pull requests, code review, automated tests, CI).
- Understand an engineering team’s workflow and turn its constraints into a clear, bounded software integration.
- Integrate services, APIs, SDKs, and developer tools, including authentication and data handling, and diagnose failures using logs, metrics, or traces.
- Verify AI-assisted changes through testing and review, and judge when AI helps and when simpler software fits better.
- Compare results against a baseline, take an integration through its first release with documentation for an agreed owner, and explain tradeoffs to teams in unfamiliar domains.
Preferred Qualifications
- Building AI skills or agents, using model APIs, C#/.NET development, or forward-deployed and developer-tooling work.
- Containers, Kubernetes, cloud infrastructure, observability, or retrieval-enabled systems.
Compensation: The base salary range for this role is $132,100 - $211,400. 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.
Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.
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.