Design Verification Engineer - Machine Learning Accelerators at Meta

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

250000.0

Posted On

13 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SystemVerilog, UVM, C++, Python, TCL, Perl, Shell, Formal Verification, Emulation, ASIC Development, Machine Learning Accelerators, Low Power Design, FPGA Debug, Git, Mercurial, Hardware/Software Co-design

Industry

Software Development

Description

Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Smart Devices. Compute power requirements of these devices require custom silicon. Meta’s Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR devices where our real and virtual world will mix and match throughout the day, and smart devices that provide assistance and enhanced capabilities in our day-to-day activities. We believe the only way to achieve our goals is to look at the entire stack, through algorithms to architecture, transistors to firmware. As a Design Verification Engineer at Meta’s Reality Labs, you will work with a multidisciplinary group of researchers and engineers, and use your digital design and verifications skills to implement the testing infrastructure to validate new core IP implementations and contribute to development and optimization of state of the art machine learning algorithms. You will work closely with researchers, architects and designers in creating test bench requirements and test cases for multiple state of the art machine learning IPs. 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 design quality targets are met 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 Minimum Qualifications 10+ years of hands-on experience in SystemVerilog/UVM methodology and C/C++ based verification 10+ 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 - SV Assertions, Formal, Emulation Experience in EDA 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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Masters in Electrical Engineering or Computer Science 5+ years of experience with Design verification/validation of machine learning applications and accelerators 5+ years of experience with Software/Hardware Co-design at firmware, ISA, and application level 5+ years of experience with low power design 5+ years of experience in verification of numerical compute based designs Experience with revision control systems like Mercurial(Hg), Git FPGA/emulation debug experience $178,000/year to $250,000/year + bonus + equity + benefits

Responsibilities

Implement testing infrastructure and scalable test benches to validate new core IP implementations for machine learning accelerators. Collaborate with cross-functional teams to define verification methodologies and drive design quality across the pre- and post-silicon lifecycle.