Design Verification Engineer – Machine Learning Accelerators
| Company | Meta |
|---|---|
| Location | Austin, TX, USA, Redmond, WA, USA, Sunnyvale, CA, USA |
| Salary | $173000 – $249000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of hands-on experience in SystemVerilog/UVM methodology and C/C++ based verification
- 8+ years of experience in IP/sub-system and/or SoC level verification based on SystemVerilog UVM/OVM based methodologies
- Experience in one or more of the following areas along with functional verification – SystemVerilog Assertions, Formal, Emulation
- Experience in Electronic Design Automation tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments
- Track record of ‘first-pass success’ in ASIC development cycles
Responsibilities
- Work with cross-functional leads, including product managers, systems architects, researchers, and software architects, to develop industry leading Machine Learning IP’s optimized for Mixed Reality and Smart Devices and use-cases, defining verification methodologies for each of the different core IPs
- Define, track, and lead the execution of detailed test plans for the different modules and top levels
- Implement scalable test benches including checkers, reference models, assertions in System Verilog
- Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage
- Collaborate with cross-functional teams such as Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality across pre- and post-Silicon product lifecycle
- Support hand-off and integration of developed subsystems/IP blocks into larger SOC environments
- Develop and drive continuous Design Verification improvements using the latest verification methodologies, tools and technologies from the industry
Preferred Qualifications
- Masters in Electrical Engineering or Computer Science
- Experience with Design verification/validation of machine learning applications and accelerators
- Experience with revision control systems like Mercurial(Hg), Git
- Experience with low power design
- FPGA/emulation debug experience
- Experience in verification of numerical compute based designs
- Experience with Software/Hardware Co-design at firmware, ISA, and application level