---
title: 'Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU at Samsung Semiconductor'
canonical: 'https://feeny.ai/job/staff-engineer-architecture-performance-research-engineer-for-data-center-and-kj020kk8t53n'
type: 'job'
last_seen: '2026-11-05'
---

# Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU at Samsung Semiconductor

- **Company:** Samsung Semiconductor
- **Location:** San Jose, CA
- **Compensation:** $163k–$253k
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-11-05
- **Apply:** https://job-boards.greenhouse.io/samsungsemiconductor/jobs/7967361003

## Job description

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. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

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

## What You’ll Do

Architecture Research Lab is focused on researching next-generation CPU (RISC-V) microarchitecture and performance for emerging computing workloads. We explore new architectural ideas, evaluate their performance potential, and rapidly turn promising concepts into working designs that can be validated on real silicon. Our research is driven by emerging opportunities in data center and agentic AI workloads, where we investigate how CPU architecture can evolve to meet new performance and efficiency requirements. We also explore CPU-memory co-design from the CPU perspective, in alignment with the broader shift toward memory-centric architectures. A distinctive aspect of our team is the way we approach architecture research. 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.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 43004

As a Staff CPU Architecture & Performance Engineer, you will shape the architecture and performance direction of next-generation CPU architectures. You will identify opportunities across emerging workloads, develop and refine performance models, evaluate system-level architectural trade-offs, and drive new microarchitectural concepts from research to implementation. You will work closely with RTL design teams to translate architectural concepts into implementable designs, guide key technical decisions, and validate their impact from modeling through silicon. The role offers broad ownership across architectural domains, with the opportunity to define new research directions, influence CPU architecture strategy, and drive ideas that can deliver meaningful performance gains in real hardware.

- Propose new architecture ideas and take ownership of one or more microarchitectural domains, including front-end, mid-end, and back-end
- 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
- Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models
- Characterize workloads and benchmarks, including SPEC, server, client, AI/ML, agentic AI, and internal traces
- Translate performance analysis and modeling results into architectural direction and design decisions
- Drive research leading to patents and technical publications

## What You Bring

- 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

## Preferred Qualifications

- 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
- Mid-end: RVV/SIMD, matrix/tensor engine design, and out-of-order vector execution
- Back-end: LSU/MSHR design and prefetcher design for irregular access patterns
- 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
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change

## #LI-SF1

## What We Offer

The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.

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. An investment in your future is an investment in ours.

Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. 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, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. 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.

Base Pay Range $163,000—$253,000 USD

## 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. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Our Commitment to Innovation and Fairness

At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Applicant AI Use Policy

At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.

Trade Secret Notice

By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

## About Samsung Semiconductor

## Company Overview
- **One-liner**: Samsung Semiconductor is the semiconductor division of Samsung Electronics, designing and manufacturing memory chips, processors, image sensors, and providing foundry services for global technology leaders.
- **Entity Type**: Public (part of Samsung Electronics, KRX: 005930)
- **Headquarters**: Suwon, South Korea (global R&D and sales headquarters in San Jose, California, USA)
- **Founded**: 1983 (Samsung’s semiconductor business division established)
- **Founders**: Lee Byung-chul (Samsung Group founder)

## Core Business
- **Primary industry/industries**: Semiconductor manufacturing, memory (DRAM, NAND), system LSI (application processors, image sensors), foundry, and advanced packaging.
- **Target customers**: B2B – OEMs, cloud/data center operators, mobile phone manufacturers, automotive OEMs, AI/ML companies, and consumer electronics brands.
- **Mission or purpose statement**: “We aspire to redefine what technology can do for the world, with pioneering spirit and daring imagination.” (from the careers page)

## Products & Services
- **Memory Solutions**: DRAM (including HBM4, DDR5), NAND flash (UFS 5.0, SSD controllers), and SOCAMM2 modular server memory.
- **System LSI**: Application processors like Exynos 2600 (3nm) and Exynos 1680 with on-device AI; ISOCELL image sensors (e.g., HP5 200MP).
- **Foundry Services**: Advanced process nodes (3nm GAA, 4nm, 5nm) for custom chip design and manufacturing.
- **Display Driver ICs (DDI)**: Integrated circuits for OLED/LCD displays (part of the Display Lab).
- **Automotive Semiconductors**: Memory and processors for infotainment and ADAS platforms.

## Market Standing
- **Valuation/Market Cap**: Samsung Electronics market cap ~$370 billion (as of mid-2025); semiconductor division is a core profit engine.
- **Key Metric**: Annual Revenue – Samsung Electronics’ Device Solutions (semiconductor + display) segment reported KRW 44.3 trillion (~$33 billion) in 2023 revenue (publicly disclosed).
- **Notable Investors/Partners**: Key customers include Apple, NVIDIA, Qualcomm, AMD, Intel, and major automotive OEMs. Foundry partners include companies like Google, AMD, and NXP.
- **Growth Signals**: 
  - Aggressive hiring for AI/ML infrastructure roles (Principal Architect for Memory-Centric Computing, AI systems engineers) as seen on the Greenhouse job board.
  - Introduction of HBM4 memory designed for next-generation AI accelerators.
  - Expansion of Austin, Texas manufacturing site (one of the largest and most advanced semiconductor fabs in the world).

## Competitive Advantages
- **Technology Leadership**: World’s first mass producer of 3nm GAAFET transistors; leading position in high-bandwidth memory (HBM) and V-NAND.
- **Vertical Integration**: Owns design, fabrication, packaging, and testing – shortening time-to-market and ensuring quality.
- **Massive R&D Budget**: Consistently invests >10% of revenue in R&D, enabling rapid node scaling and new product innovation.
- **Global Manufacturing Footprint**: Fabs in South Korea, Austin (USA), and Xi’an (China) provide supply chain resilience.

## Strategic Focus
- **AI Memory Leadership**: Accelerating development of HBM4, CXL memory, and compute-in-memory architectures to serve AI/ML workloads.
- **Foundry & Custom Silicon**: Growing the foundry business with advanced 3nm/2nm nodes and partnering with hyperscalers for custom chips.
- **Automotive & Edge AI**: Expanding automotive-grade memory and processors for autonomous driving and smart cockpit systems.
- **Process Node Miniaturization**: Continued investment in sub-2nm GAA technology (expected by 2026-2027).

## Why Work Here
- **Culture Highlights**: “Innovation begins with people” – emphasis on respect, collaboration, and professional growth. The careers page states “We believe personal growth fuels company growth.”
- **Learning & Development**: Extensive training programs, opportunities to work on cutting-edge technology (3nm, HBM, AI accelerators), and global mobility.
- **Work Environment**: Hybrid/office roles available; major engineering hubs in San Jose, Austin, Suwon, Hwaseong, Bangalore, and Xi’an. Many roles are on-site in labs and fabs.
- **Notable Perks**: Competitive compensation, comprehensive benefits, and the chance to work on world-changing semiconductor technology. Engineers often participate in cross-functional, multi-site projects.

## Sources
1. [Samsung Semiconductor Global Website](https://semiconductor.samsung.com/)
2. [Samsung Semiconductor Careers Overview](https://semiconductor.samsung.com/about-us/careers/)
3. [Samsung Semiconductor US Careers](https://semiconductor.samsung.com/about-us/careers/us/)
4. [Jobs at Samsung Semiconductor (Greenhouse)](http://job-boards.greenhouse.io/samsungsemiconductor)

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