Design Verification Engineer - Machine Learning Accelerators

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 super powers 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 group of researchers and engineers, and use your digital design and verification 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 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

Minimum Qualifications

• 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

Preferred Qualifications

• Masters in Electrical Engineering or Computer Science
• Experience in verification of numerical compute based designs
• FPGA/emulation debug experience
• Experience with low power design
• Experience with revision control systems like Mercurial(Hg), Git
• Experience with Software/Hardware Co-design at firmware, ISA, and application level
• Experience with Design verification/validation of machine learning applications and accelerators

$173,000/year to $249,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.