Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 8 days ago

Senior Staff Burn-In System Product Developer

MyCareersFuture94,028 open roles

Pay
SGD 8,000 – SGD 14,000 a month
Where
Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Staff Burn-In System Product DeveloperMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 8 days ago

The posting

THE ROLE:

AMD is seeking an experienced and innovative Senior Member of Technical Staff to lead the architecture, development, and deployment of next-generation burn-in solutions for advanced semiconductor products, including CPUs, GPUs, AI accelerators, adaptive SoCs, and chiplet-based technologies. In this role, you will drive burn-in system architecture across hardware and software, enabling product quality, reliability, and manufacturing excellence throughout the product lifecycle. You will collaborate closely with Product Engineering, Reliability, Silicon Design, Packaging, Test Engineering, Manufacturing Operations, and external equipment partners to develop scalable, intelligent burn-in solutions that support AMD's leadership in High-Performance Computing (HPC) and Artificial Intelligence (AI). This position offers a unique opportunity to influence future burn-in technology roadmaps while applying advanced analytics and AI-driven methodologies to improve manufacturing efficiency, reliability screening effectiveness, and product quality.

THE PERSON:

The ideal candidate is a highly motivated technical leader with expertise in semiconductor burn-in, reliability engineering, and system architecture. You must possess outstanding vendor management and stakeholder leadership skills, with a proven track record of influencing suppliers, driving complex equipment development programs, managing technical escalations, and establishing long-term strategic partnerships. You must thrive in fast-paced environments and enjoy collaborating across multiple disciplines to enable next-generation computing platforms.

KEY RESPONSIBILITIES:

Burn-In System Architecture

  • Define and drive burn-in system architecture for AMD packaged semiconductor products.
  • Develop scalable burn-in solutions for advanced package technologies, including Chiplet-based architecture, 2.5D and 3D integration, HBM-enabled devices, etc.
  • Lead development of system-level burn-in infrastructure, including Power delivery architecture, Thermal management systems, Burn-in boards and sockets, Control and monitoring systems, and Automation frameworks.
  • Drive vendor management and supplier effectiveness to facilitate first time right and reliable performance of AMD’s Burn-in solutions.

Reliability & Manufacturing

  • Collaborate with Reliability and Product Engineering teams to develop burn-in strategies supporting product qualification and production requirements.
  • Support New Product Introduction (NPI) and manufacturing ramp activities.
  • Drive equipment evaluation, qualification, deployment, and continuous improvement initiatives.
  • Analyze burn-in effectiveness and optimize throughput, equipment utilization, reliability coverage, and overall cost of ownership.
  • Perform root cause analysis and corrective action implementation for burn-in-related hardware, system, and product issues.

AI, Analytics & Smart Manufacturing

  • Utilize predictive analytics to identify equipment degradation, process drift, and potential product reliability risks.
  • Build automated data pipelines and dashboards for monitoring burn-in performance and manufacturing metrics.
  • Apply machine learning techniques for Anomaly detection, Failure prediction, Yield improvement, and Predictive maintenance
  • Evaluate opportunities to utilize Generative AI technologies to accelerate engineering workflows, debug activities, and knowledge management.

PREFERRED EXPERIENCES:

  • Semiconductor industry experience is required, Burn-In Engineering, Reliability Engineering, Product Engineering, Manufacturing Equipment Development, System Development
  • Strong communication and technical leadership skills.

ACADEMIC CREDENTIALS:

  • Bachelor's or Master’s degree in electrical engineering or Electronics Engineering or Semiconductor Engineering or Related technical discipline
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.