System Application Engineer

Posted Yesterday
Be an Early Applicant
San Jose, CA, USA
In-Office
Junior
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Semiconductor • Automation • Manufacturing
The Role
Develop and maintain Java and C++ test methods for digital and mixed-signal semiconductor devices on the Advantest V93000 platform. Support customers with SmarTest debugging, production test challenges, technical training, documentation, presentations, pre-sales, NPI, benchmarks, and competitive evaluations. Collaborate globally with R&D, COE, Sales, Marketing, and SAE teams to deliver scalable solutions for HPC, AI, high-speed, and high-power applications.
Summary Generated by Built In
Job Summary & Responsibilities

We are seeking a System Application Engineer (SAE) to join our System Application Engineering team, supporting next‑generation ATE solutions and advanced semiconductor devices for customers in High Performance Computing (HPC) and AI‑driven applications.

In this role, you will work closely with customers, R&D, COE, Sales, and Marketing in a highly cross‑functional and international environment. You will apply deep V93000 platform expertise, strong test engineering fundamentals, and solid software skills to guide customers through complex test challenges from concept to production.

This position is well suited for a senior engineer with strong customer presence, who thrives in fast‑changing environments, demonstrates ownership, and can translate complex technical requirements into reliable, scalable test solutions.

You will be viewed as a trusted technical advisor by customers and a technical role model within the AE organization.


Responsibilities:

  • Develop and maintain test methods and tooling (Java / C++) for digital and mixed‑signal devices on the Advantest V93000 (93k) platform, with a strong focus on ST7 → ST8 transition.
  • Support customers in debugging and resolving SmarTest software and system‑level issues across engineering and production environments.
  • Clearly document and communicate complex test concepts through technical documentation and customer‑facing presentations.
  • Train customers on new software and hardware capabilities released by R&D and Advantest Application Development Centers.
  • Collaborate closely with COE, R&D, and global SAE teams to translate customer requirements into robust solutions for high‑power and high‑speed applications.
  • Actively represent Advantest’s technical strengths, solution positioning, and roadmap direction in customer engagements.
  • Support pre‑sales and NPI activities, including customer presentations, benchmark projects, requirement analysis, and competitive evaluations.
Preferred Qualifications

Minimum Qualifications:

  • Bachelor’s degree (or foreign equivalent) in Electrical Engineering, Computer Science, or a related discipline.
  • Minimum 2 years of hands‑on experience with the Advantest V93000 platform.
  • Solid understanding of wafer sort methodologies, KGD, and production test flows.
  • Strong programming skills in Java, scripts(Python/Perl) and C/C++.
  • Understanding of test quality metrics such as correlation, CP, CPK, and related data analysis techniques.
  • Demonstrated personal leadership, ownership mindset, and ability to work effectively in a team environment.
  • Proven project execution and coordination skills.
  • Experience or exposure to pre‑sales activities or technical customer leadership.
  • Working knowledge of MBIST, Logic BIST, Scan over PCIe, eFuse, iJTAG.

Preferred:

  • Hands‑on experience with SmarTest 8, preferably one year or more.
  • Strong expertise in 93k digital testing, including vector debug, shmoo analysis, pin margining, and timing debug.
  • Experience writing test‑time‑efficient programs for high‑volume production.
  • Familiarity with multi‑core CPU / AI / server device test methodologies.
  • Experience with high‑power device testing, including power delivery networks and related challenges.
  • Expectation of some travel if requested (5-10%).

Skills Required

  • Bachelor's degree or foreign equivalent in Electrical Engineering, Computer Science, or a related discipline
  • At least 2 years of hands-on experience with the Advantest V93000 platform
  • Understanding of wafer sort methodologies, KGD, and production test flows
  • Strong programming skills in Java, Python or Perl scripting, and C or C++
  • Understanding of test quality metrics including correlation, CP, and CPK, plus related data analysis
  • Personal leadership, ownership mindset, and effective teamwork
  • Project execution and coordination skills
  • Experience or exposure to pre-sales activities or technical customer leadership
  • Working knowledge of MBIST, Logic BIST, Scan over PCIe, eFuse, and iJTAG
  • Hands-on experience with SmarTest 8, preferably one year or more
  • Strong expertise in 93k digital testing, including vector debug, shmoo analysis, pin margining, and timing debug
  • Experience writing test-time-efficient programs for high-volume production
  • Familiarity with multi-core CPU, AI, or server device test methodologies
  • Experience with high-power device testing, power delivery networks, and related challenges
  • Willingness to travel 5–10% when requested
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Tokyo
2,006 Employees
Year Founded: 1954

What We Do

For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd. Additional Information about Advantest can be found at www.advantest.com.

Similar Jobs

Notion Logo Notion

Product Manager

Artificial Intelligence • Productivity • Software
Hybrid
San Francisco, CA, USA
1000 Employees
238K-250K Annually

Notion Logo Notion

Strategic Finance, AI & Business Partnership

Artificial Intelligence • Productivity • Software
Hybrid
San Francisco, CA, USA
1000 Employees
120K-135K Annually

Notion Logo Notion

Program Manager

Artificial Intelligence • Productivity • Software
Hybrid
2 Locations
1000 Employees
208K-233K Annually

Qualtrics Logo Qualtrics

Chief Technology Officer

Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Remote or Hybrid
United States
7500 Employees
212K-300K Annually

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account