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Samsung

Makes consumer electronics and semiconductor components

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

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A master's degree in Computer Engineering, Computer Science, or a related field with 8+ years of relevant experience, or a PhD with 5+ years of relevant experience.
  • At least 4 years of experience in CPU microarchitecture or performance engineering.
  • Experience designing RISC-V, ARM, or x86 CPU cores, or GPU/NPU vector units.
  • 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.

Responsibilities

  • Shape the architecture and performance direction of next-generation CPU architectures.
  • 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.
  • 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.
  • 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.

Desired 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 these 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.

About the Company

Samsung

Makes consumer electronics and semiconductor components

Samsung Electronics designs and manufactures consumer devices and electronic components for individuals, businesses and other technology manufacturers worldwide. Its product lines include Galaxy phones and tablets, televisions, home appliances, memory chips, processors and displays. The company develops hardware and software, runs manufacturing facilities and sells finished products through online and physical retail channels supported by a global sales network. It earns revenue from device and component sales, while its foundry business manufactures chips designed by customers. Samsung Electronics was founded in 1969 and is headquartered in Suwon, South Korea.

Company size
10,001+
Company stage
IPO
Headquarters
United States
Founded
1969

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