3 ΡΠ°ΡΠ° Π½Π°Π·Π°Π΄
Design Verification Engineer
190Β 000 - 230Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Design Verification Engineer (AI Chips/SystemVerilog): Developing verification strategies, reusable UVM testbenches, and coverage plans for large-scale AI chip designs with an accent on simulation, emulation, and silicon bring-up. Focus on debugging complex hardware issues, automating regressions, and improving verification infrastructure across architecture, RTL, physical design, firmware, and validation.
Location: On-site in Sunnyvale, California, United States
Salary: $190,000β$230,000 annually, plus potential bonus and equity
Company
Builds large-scale AI chips and computing systems designed to deliver high-speed model training and inference.
What you will do
- Develop verification strategies, detailed tests, and coverage plans from micro-architecture specifications.
- Create reusable verification environments with stimulus, checkers, assertions, and coverage components.
- Implement tests, manage regressions, collect coverage, and debug failures.
- Analyze complex issues across simulation, emulation, and silicon bring-up.
- Collaborate with architecture, RTL design, physical design, firmware, post-silicon, software, and validation engineers.
- Improve verification infrastructure, flows, methodologies, and organization-wide best practices.
Requirements
- 3+ years of design verification experience.
- Deep knowledge of SystemVerilog testbenches, DPI, and UVM.
- Experience developing scalable and portable testbenches and verification components.
- Knowledge of simulators, waveform viewers, build and run automation, coverage collection, and gate-level simulation.
- Strong programming skills, object-oriented design knowledge, and proficiency in Python or Perl scripting.
- Excellent debugging, problem-solving, interpersonal, and collaboration skills.
Nice to have
- Knowledge of pipelined processor architecture.
- BS or MS in Computer Science or Electrical Engineering.
Culture & Benefits
- Opportunity to build AI computing hardware beyond GPU constraints.
- Access to cutting-edge AI research, including publishing and open-source work.
- Work on high-performance AI supercomputing systems.
- Combination of startup vitality and job stability.
- Non-corporate culture focused on individual beliefs, learning, growth, and support.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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