Staff Certification Engineer
WiskSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, SemiconductorsIndustries
Requirements
- Advanced degree in electrical, computer engineering, or computer science
- Proven experience in CPU or SoC verification
- Experience with verification flows, scripting, and automation
- Good knowledge of logic design
- Knowledge of Verilog, VHDL, or SystemVerilog
- Strong problem-solving skills
- Excellent organizational and communication skills
- Good English language skills (written and spoken)
Responsibilities
- Verify Tenstorrent’s digital IP and SoC logic at chiplet integration level, using predominantly an UVM-based verification methodology
- Build and improve components of verification infrastructure, including model builds and simulation/regression runs
- Create verification components like testbenches, checkers, and test generators
- Add assertions and coverage along associated methodologies
- Build verification test plans for subsystems, align them with project stakeholders, implement test suites, summarize the results, and share feedback with project stakeholders
- Publish and review verification metrics and drive convergence towards tape-out
- Work across boundaries with architects, software, and design/emulation teams
- Guide and mentor junior engineers
Skills
UVM
SystemVerilog
Verilog
VHDL
RISC-V
SoC verification
CPU verification
testbenches
assertions
coverage
verification flows
scripting
automation
logic design
Tenstorrent
Builds advanced computers for AI applications
About Tenstorrent
Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, leveraging technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent focuses on integrating neural network compilers into their systems, enhancing the efficiency of AI computations. The company's goal is to advance the capabilities of AI computing, serving clients in the AI and computing sectors while generating revenue through the sale of their specialized systems and services.
Toronto, CanadaHeadquarters
2016Year Founded
$1,297.7MTotal Funding
SERIES_DCompany Stage
Hardware, AI & Machine LearningIndustries
501-1,000Employees