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Velocity Applications Engineer – Customer Facing​/On-Site

Job in San Jose, Santa Clara County, California, 95173, USA
Listing for: Advantest
Full Time position
Listed on 2026-10-27
Job specializations:
  • Engineering
    Test Engineer, Technical Support
Job Description & How to Apply Below
Position: Velocity Applications Engineer – Customer Facing / On-Site
Job Description Position Summary We are seeking a highly motivated Velocity Applications Engineer to work directly with semiconductor customers deploying and using the Velocity test automation platform.

This is a customer-facing, hands-on technical role focused on helping customers successfully integrate Velocity into their DFT, design verification, and production test environments. The Applications Engineer will work on-site with customer engineering teams to understand their test methodology, assist with implementation, troubleshoot technical issues, optimize workflows, and drive successful adoption of Velocity.

The ideal candidate has a strong background in semiconductor test, ATE, digital test, or DFT and is comfortable working directly with customer engineers in fast-paced development and production environments.

Experience with AI methodologies, AI-assisted engineering workflows, or agentic automation is highly desirable.

Key Responsibilities Serve as the primary technical interface between Velocity engineering and customer DFT, design, product, and test engineering teams.

Work directly with customers on-site to deploy, configure, and integrate Velocity into their semiconductor test workflows.

Understand customer DFT and test methodologies and translate those requirements into effective Velocity solutions.

Support conversion and deployment of digital test content from EDA/DFT environments to ATE.Troubleshoot customer issues involving test patterns, timing, pin mapping, test program integration, simulation, and ATE execution.

Analyze Velocity logs, test results, conversion output, and customer data to identify root causes and recommend solutions.

Help customers improve test development productivity, pattern conversion performance, and first-time-right test deployment.

Support Velocity technologies including pattern conversion, REPLAY, test program automation, debug, compression, and related EDA-to-ATE workflows.

Work closely with internal Velocity software engineering teams to reproduce customer problems, define requirements, prioritize issues, and validate fixes.

Identify opportunities to apply AI-assisted analysis, automation, agents, and intelligent workflows to improve customer productivity and accelerate debug and test development.

Provide technical feedback from customers to help guide Velocity product development.

Conduct customer demonstrations, technical workshops, training sessions, evaluations, and proof-of-concept activities.

Assist customers during critical silicon bring-up, production ramps, and new technology deployments.

Develop application examples, best practices, documentation, and reusable customer workflows.

Build strong technical relationships with customer engineering teams and become a trusted technical resource.

Travel to customer sites as required and provide hands-on support during critical projects.

Job Requirements Desired Technical Background Experience in one or more of the following areas is highly desirable:

Semiconductor Automatic Test Equipment (ATE)
Digital semiconductor test Design-for-Test (DFT)
Scan and ATPGSiemens Tessent or similar DFT environmentsSTIL, WGL, EVCD, SVF, Verilog, or other digital test/pattern formats

Scan networks and advanced DFT methodologies IEEE 1500, JTAG/IEEE 1149.x, IJTAG/IEEE 1687, or related standards

Semiconductor test program development ATE timing, pin electronics, digital channels, pattern memory, and test flow Silicon bring-up and debug

Test program correlation and characterizationEDA-to-ATE pattern conversion

Linux-based engineering environmentsAI methodologies and AI-assisted engineering workflows

Large language models, agentic AI, retrieval-augmented generation, or intelligent automation

Applying AI to log analysis, debug,…
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