Samsung Semiconductor

Samsung Semiconductor

Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

San Jose, California, United States · Staff+

Sponsorship not specified$163k-$253kDetected 3 days ago
PythonC++CMachine LearningAgentic AIExcelRecruitingResearchMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 35 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Samsung Semiconductor, Inc. obtained a prevailing wage determination for Electrical Engineers in San Jose, CALIFORNIA on 2026-06-09. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-06), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Green-card follow-through: 44%

Of 16 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

126 transfer filings in the last year, covering 435 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
  • Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more.
  • We believe innovation and growth are driven by an inclusive culture and a diverse workforce.

Responsibilities

  • Use AI-driven design methodologies to rapidly implement architectural ideas and validate them on real silicon
  • Build, extend, and validate performance models and architectural simulators
  • Perform CPI/IPC analysis and identify root causes of performance bottlenecks
  • Translate performance analysis and modeling results into architectural direction and design decisions
  • Drive research leading to patents and technical publications
  • We explore new architectural ideas, evaluate their performance potential, and rapidly turn promising concepts into working designs that can be validated on real silicon.
  • We also explore CPU-memory co-design from the CPU perspective, in alignment with the broader shift toward memory-centric architectures.
  • We develop and apply AI-driven methodologies to accelerate architectural exploration, broaden the design space we can investigate, and quickly iterate from ideas to implementation and silicon validation.
  • Rather than simply following established design flows, we continuously seek new ways to explore, evaluate, and realize CPU architectures.
  • The role offers an opportunity to work across the full spectrum of architecture research-from workload and performance analysis, microarchitectural innovation, and architectural modeling to implementation and silicon validation-while helping shape new methodologies for how future CPUs are designed.

Requirements

  • Master's degree in Computer Engineering, Computer Science, or a related field with 8+ years of relevant experience, or PhD with 5+ years of relevant experience
  • 4+ years of experience in CPU microarchitecture or performance engineering
  • Experience designing RISC-V, ARM, x86 CPU cores, or GPU/NPU vector unit
  • Strong understanding of out-of-order execution, branch prediction, pipelines, speculation, and cache/memory systems
  • Hands-on experience with architectural simulators such as gem5
  • Proficiency in C/C++ and Python
  • Experience analyzing large-scale performance data and traces

Nice to have

  • Experience with AI-driven or agentic design workflows, including high-level design languages and AI-assisted RTL generation, or a strong interest in and ability to quickly learn such methods
  • Understanding of agentic AI workload execution patterns
  • Domain-specific experience in one or more of the following areas:
  • Front-end: Branch prediction and decoupled fetch, particularly for compiler- or interpreter-driven workloads
  • Experience with PPA trade-off analysis
  • Experience leading and mentoring junior engineers
  • Experience with CPU tapeout or silicon validation
  • Experience with patents or technical publications

Skills

  • Advancing the World's Technology Together
  • Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

Compensation

  • $163,000 - $253,000 USD

Benefits

  • This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones.
  • In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves.
  • Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
  • Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
  • Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.
  • Embrace Flexibility Benefits are best when you have the space to use them.
  • That's why we facilitate a flexible environment so you can find the right balance for you.
  • Our onsite Café and gym, plus virtual classes, make it easier.

Company info

  • Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency.

Equal opportunity

  • Employment Policy
  • Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
  • When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication.
  • We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support.
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This listing is sourced directly from Samsung Semiconductor's careers page and normalized into a canonical job model.