
R&D Engineer Hardware 4
Chandler, AZFull-time$110–176K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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At a glance
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Job overview
Broadcom seeks a specialized semiconductor professional to predict wafer-level yield and optimize PPA using SoC telemetry and volume ATE production test data. The engineer will develop and deploy machine-learning, deep-learning, and generative-AI tools, analyze silicon architecture and telemetry, and translate data into optimization strategies. The role also involves collaboration across foundry, product engineering, DFM, and DFT teams to scale workflows into production.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
USA-AZ-Chandler-North Juniper Drive
Full time
R027591
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Job Description:
Job Title: Principal Machine Learning & Silicon Yield Engineer
Position Overview
Broadcom is seeking a highly specialized semiconductor professional with experience in predicting wafer-level yield and optimizing PPA, from SoC telemetry and volume ATE production test data. We require deep experience in analyzing silicon architecture, static timing analysis (STA), and silicon telemetry, using advanced data analysis tools, where the goal will be to develop predictive yield and performance optimization tool sets. You will design and deploy ML, DL, and GenAI tools that translate silicon data into actionable optimized strategies.
Key Responsibilities
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Predictive Yield Modeling: Design, build, and deploy ML, DL, and GenAI models to predict and maximize wafer-level yield using large-scale SoC telemetry data.
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Telemetry Data: Organize, clean, and analyze large, multi-source sensor databases and provide input on future telemetry requirements.
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Circuit Telemetry & Silicon Expertise: Interpret complex parametric data, on-chip sensor readouts, and circuit telemetry to isolate failure mechanisms and marginalities.
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Cross-Functional Collaboration: Partner with foundry, product engineering, design-for-manufacturing (DFM), DFT engineering teams to drive yield and PPA strategies.
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Innovate, Scale, Deploy: Develop, qualify and productize experimental data workflows, and work with teams to release to scalable production.
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S pice modeling and simulation: Must have experience in spice modeling tools, Cadence Virtuoso and familiarity with Primetime STA tools.
Required Qualifications
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Education: MS plus 6 years experience OR Ph.D. plus 3 years experience in Electrical Engineering, Computer Science or a related field Top-tier semiconductor research institution, e.g. Stanford, UC Berkeley, MIT, Purdue, UIUC preferred.
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Yield & Telemetry Experience: Proven track record in the semiconductor industry specializing in silicon macro characterization and SoC telemetry analysis.
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Advanced Analytics: Deep expertise in applying Machine Learning and Artificial Intelligence techniques (e.g., deep learning, anomaly detection, multivariate regression) to physical hardware datasets.
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Data Engineering Skills: Strong programming skills in Python, R, or C++ and hands-on experience handling massive databases.
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Domain Knowledge: Deep understanding of semiconductor manufacturing processes, wafer fabrication, DFM practices, and electronic design automation (EDA) tools.
Compensation and Benefits
The annual base salary range for this position is USD 109,700.00 To USD 175,500.00
As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.
Welcome! Thank you for your interest in Broadcom!
We are a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions.
For more information please visit our video library (http://www.broadcom.com/videos) and check out our Connected by Broadcom (https://www.broadcom.com/support/resources/video-webinar-library?channel=5c9658f7c1d34eca91c6cc16178e5b1b&video=7d72b04ea50046a394e682fab640ce20) series.
Follow us on Linked In Broadcom Inc (https://www.linkedin.com/company/broadcom) .
How this job compares
Set against the 6,178 open Machine Learning Engineer jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This posting$110–176K/yr
- Arizona median$124–232K/yr53 salary ranges
- US median$151–246K/yr5,016 salary ranges
This range's midpoint, $143K, is 20% below the Arizona median midpoint ($178K) — in the lowest quarter of Machine Learning Engineer salary ranges in Arizona.
- Openings
- Olive Jobs lists 66 open Machine Learning Engineer jobs in Arizona and 6,178 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Arizona
- American Express9 open
- EY7 open
- Deloitte6 open
- Experience
- This posting asks for at least 3 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,858 postings).
- Education
- 2,039 of the 6,178 open Machine Learning Engineer jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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