About this role
Digital Design, SOC Integration Lead
Sunnyvale, CA
Engineering
- 3 more
Meta’s Reality Labs is seeking a Digital Design, SOC Integration Lead to serve as a technical lead for Machine Learning IP integration. In this role, you will drive the integration of Machine Learning IP blocks into complex system-on-chip designs, bringing together expertise in design, integration, and physical design. You will be responsible for project planning, tracking, and execution while working closely with cross-functional teams, SoC teams, and IP vendors to deliver next-generation ML accelerators that power Meta's AR and VR devices.
Digital Design, SOC Integration Lead Responsibilities
- Serve as the technical lead for ML IP integration, driving end-to-end integration from RTL to physical design handoff
- Own project planning, tracking, and execution for ML IP integration efforts
- Lead design and integration activities, including microarchitecture, RTL design, lint, CDC, synthesis, and physical design collaboration
- Partner with cross-functional teams, SoC teams, and external IP vendors to ensure a seamless integration
- Define and drive integration methodologies, flows, and best practices across the silicon team
- Drive root cause analysis and resolution of issues across design, synthesis, and physical implementation stages
- Mentor and guide engineers on ML IP integration and design best practices
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in digital design and IP/SOC integration
- Experience serving as a technical lead for complex IP or SOC integration projects
- Experience with RTL design, integration, lint, CDC, and synthesis flows
- Experience with physical design concepts and collaboration with P.D. teams
- Experience with project planning, tracking, and execution for silicon programs
- Experience working with cross-functional teams and external IP vendors
- Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, and area
- Experience with scripting languages such as Python, Perl, or Tcl
- Bachelor's degree in Electrical Engineering, Computer Engineering, or relevant field
Preferred Qualifications
- Experience with low-power design techniques and UPF flows
- Master/PhD degree in EE/CS or equivalent areas
- Experience with physical design flows, floorplanning, and timing closure
- Experience with machine learning accelerator hardware design and integration
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 WhatsApp 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.
United States of America: $264,000/year to $341,000/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.
Equal Employment Opportunity
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. You may view our Equal Employment Opportunity notice here.
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