Senior Staff Engineer, Design Verification

Samsung Semiconductor

San Jose (CA)

On-site

USD 189,000 - 301,000

Full time

14 days+

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Benefits offered by this job

Comprehensive wellness package
401(k) retirement plan
Onsite gym and café

Job summary

A leading technology firm in San Jose is seeking a Verification Engineer to develop and oversee verification infrastructure for AI accelerator IP blocks. Candidates must have 10-15 years of experience, strong knowledge of SoC verification, and programming skills in C/C++ and UVM. The role offers a competitive salary, comprehensive wellness benefits, and a flexible work environment, promoting a diverse and inclusive workplace culture.

Qualifications

  • 15+ years of industry experience for Bachelor's degree, 13+ for Master's, or 10+ for PhD.
  • Strong background in SoC or IP verification and testbench development.
  • Understanding of RTL and debugging skills.

Responsibilities

  • Develop the verification infrastructure and automation environment.
  • Lead verification for IP blocks of an AI accelerator.
  • Create testbenches and define test plans.

Skills

SoC or IP verification
Testbench development using UVM
C/C++ programming
Scripting languages (Perl/Python)
Strong analytical skills
Excellent communication skills

Education

Bachelor’s degree with 15+ years experience
Master’s degree with 13+ years experience
PhD with 10+ years experience

Tools

UVM
SystemVerilog
FPGA

Job description

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 more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs push the boundaries of what’s possible and power 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, building a better tomorrow for our employees, customers, partners, and communities.

Our AGI (Artificial General Intelligence) Computing Lab is dedicated to solving complex system‑level challenges posed by future AI/ML workloads. We design and develop scalable platforms that handle the computational and memory demands while minimizing energy consumption and maximizing performance. We collaborate closely with hardware and software engineers, conduct research in emerging technologies, and aim to revolutionize how AI/ML applications are deployed, contributing to an affordable and sustainable AGI.

Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do
  • Develop the verification infrastructure and automation environment involved in build, simulation, regression, and triage.
  • Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
  • Create deterministic or random testbenches, define verification scope and test plans for functional and performance validation, and close verification quality metrics.
  • Provide comprehensive documentation of verification strategy and ensure the test environment is user‑friendly.
  • Mentor junior engineers when necessary.
  • Work cross‑functionally in debugging failures with design, compiler, and simulation engineers.
What You Bring
  • Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD’s with 10+ years of industry experience.
  • Strong background in SoC or IP verification and testbench development using UVM, SystemVerilog, C/C++, and scripting languages such as Perl/Python.
  • Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to die to SoC to full system testing.
  • Understanding of RTL and strong overall debugging skills.
  • Prior experience with computational logic, interconnect networks, and/or memory systems is desirable.
  • Strong background in microarchitecture and computer architecture, preferably in AI accelerators.
  • Knowledge of FPGA and emulation platforms preferred.
  • Strong analytical and problem‑solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Inclusive mindset, adapting your style to diverse global norms.
  • Avid learner who approaches challenges with curiosity and resilience, seeking data to build understanding.
  • Collaborative spirit, building relationships, offering support, and welcoming new approaches.
What We Offer

This role offers a pay range of $189,000—$301,000 USD, with incentive opportunities that reward employees based on individual and company performance. Benefits include a comprehensive wellness package—Medical/Dental/Vision, 401(k), a wellbeing rewards plan, paid time off, holidays, sick leave, fertility and adoption stipends, medical travel support, and virtual vet care. Additional perks include on‑demand mental health apps, confidential therapy sessions, an onsite café and gym, virtual fitness classes, and flexible work arrangements.

Base Pay Range

$189,000—$301,000 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. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long‑term conditions, neurodivergent individuals, or those requiring pregnancy‑related support.

Recruiting Agency Policy

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

Applicant AI Use Policy

We prohibit the use of generative AI tools to misrepresent a candidate’s true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation may result in immediate disqualification from the hiring process.

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