Finding the best job has never been easier
Facebook SoC Architect United States, California, Sunnyvale 35272733
03.04.2025
Share
This is an architect role in which you will be defining the architecture of the next generation of Machine Learning ASICs being built on the most modern process technologies and featuring industry leading performance and feature sets.
SoC Architect Responsibilities
- Work on modeling, performance analysis and architecture definition of Machine Learning ASICs.
- Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency, evaluate performance v/s area v/s power tradeoffs.
- Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture.
- Share your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.
- Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon.
- Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc.
- Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code.
- 12+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis.
Preferred Qualifications
- Master's or PhD degree in Electrical Engineering, Computer Engineering or related field.
- Domain knowledge in one or more of power/performance tradeoffs, digital signal processing, ML networks, ML frameworks such as Pytorch.
About Meta
$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 at Meta.
These jobs might be a good fit
