$161,700 - $258,800 USD yearly
Originally posted 1 October 2026 by the employer.
Develop knowledge and retrieval infrastructure for AI agents and developer tools.
About the role
As a Senior AI Software Engineer, you will evolve an existing proof of concept into an owned, reliable, and measurable platform within Teradyne's AI Ops team.
What you'll do
- Lead the technical direction, design, implementation, testing, and operation of the retrieval platform.
- Develop Python services and pipelines that index source repositories and engineering documents while preserving permissions.
- Build repeatable evaluations for lexical and vector search, ranking, chunking, freshness, and code- and document-aware retrieval.
- Collaborate with partner teams that own source systems and access rules to deliver practical API and MCP-compatible integrations.
- Ensure operational health is visible through measures for index freshness, failures, retrieval quality, latency, and relevant cost.
- Support platform adoption through hands-on code, tests, operational tooling, documentation, and shared engineering patterns.
What you'll need
- Production experience building and operating backend or platform systems, with the ability to take technical ownership and contribute hands-on.
- Experience with search, code intelligence, or retrieval-augmented generation (RAG), including architecture, failure modes, operational tradeoffs, and retrieval-quality measurement.
- Strong Python and systems engineering skills for designing and debugging services, pipelines, indexing, APIs, tests, and operational tools.
- Knowledge of lexical and vector retrieval, re-ranking, chunking, freshness and invalidation, and techniques for finding relevant evidence in documents and code.
- Ability to evaluate retrieval with representative questions and labeled evidence, distinguish retrieval performance from generated-answer quality, and use error analysis to guide decisions.
- Ability to become effective in unfamiliar codebases and engineering domains; prior semiconductor-test experience is not required.
- Clear cross-functional communication skills and the ability to share technical context through documentation, runbooks, and engineering patterns.
- Experience using AI-assisted development tools productively and verifying generated code through testing, review, and evidence.
This role has been open 14 days — well below the 29-day median for Silicon Test Engineering roles.
Silicon Test Engineering · DFT Test
|
Open roles in category
543
|
Median days open
29 d
|
Median salary
$173k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | Teradyne | All employers we track in this specialty (543 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 71 | 543 |
| Open roles in the wider Silicon Validation & Test family | 89 | 2220 · 112 employers |
| Median days open | 23 d | 29 d (−6 d vs this employer) |
| Median salary (USD postings) | — | $173k |
Who's hiring in this category
- Teradyne (this employer) · 71 open roles · median 23 d
- Renesas Electronics · 44 open roles · median 23 d
- Infineon Technologies · 41 open roles · median 38 d
- Qualcomm · 28 open roles · median 28 d
- Micron Technology · 27 open roles · median 36 d
- Texas Instruments · 24 open roles · median 23 d
How we counted: 543 open Silicon Test Engineering (DFT Test) roles from 76 employers tracked in the SemiconductorJobs index, counted 16 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Silicon Validation & Test family row. Figures refresh nightly.