Staff Engineer, Performance Modeling Architect at Samsung Semiconductor
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Aug, 25

Salary

0.0

Posted On

02 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Computer Software/Engineering

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.

WHAT YOU BRING

  • BS in Computer/Electrical Engineering or Computer Science with 10+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 8+ years of relevant working experience or PhD and 5+ years of relevant working experience preferred.
  • Strong background in computer architecture
  • Experiences in developing and optimizing models for high-performance computing systems
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Ability to work independently and as part of a team
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people.
  • An avid learner, 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-VL1

Responsibilities
  • Model the architecture, performance, and power characteristics of AI accelerators
  • Develop and optimize models to explore a large design space.
  • Analyze various trade-offs within a design space, considering different architectural choices and workloads.
  • Collaborate with architecture, design and software engineers to ensure that the PPA of modeled systems meet the requirements of our users
  • Conduct research and development in emerging technologies and trends in AI accelerators
  • Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
  • Complete other responsibilities as assigned.
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