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 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.

Minimum Qualifications

* 10+ years of hands-on experience in System Verilog/UVM methodology and C/C++ based verification

* 10+ years of experience in IP/sub-system and/or SoC level verification based on System Verilog 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

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

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