Research Scientist, HW/SW Co-Design (PhD)

Onsite$122,000 - $181,000/yrPosted 3 days ago

Job details

Location: Menlo Park, California
Work type: Onsite
Compensation: $122,000 - $181,000/yr
Posted: 3 days ago
Apply on: metacareers.com

About this role

Our teams’ mission is to explore, develop and help productionize high performance software & hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system from models and runtime all the way to the AI hardware, optimizing across compute, network and storage. The team invests significantly into model optimization on existing accelerator systems and guiding the future of models and AI HW at Meta. This drives improved performance, new model architectures and reduces cost of ownership for all key AI services at Meta: Generative AI and Recommendations. This is an exciting space that spans exploration and productization, coupled with close collaborations with industry, academia, Meta’s Infrastructure and Product groups. Collaborating closely with product teams, the team's mode of operation is going from ideation and rapid prototyping, all the way to assisting productization of high leverage ideas, working with many partner teams to bring learnings from prototype into production. In addition to the real-world impact on billions of users of the Meta products, our team members have won Best Paper Awards at prestigious conferences such as ISCA, ASPLOS, SOSP, and OSDI, with multiple papers selected for IEEE Micro Top Picks. We regularly publish in ICML, NeurIPS, SC, HPCA, NSDI, VLDB, MLSys, and more. Overall, our work largely corresponds to the research communities of systems in general and especially systems for ML (MLSys, SOSP, OSDI, SIGCOMM, NSDI), hardware architecture (ISCA, ASPLOS), ML (NeurIPS, ICML, ICLR) and supercomputing (SC, ICS). We are seeking a Research Scientist to join our AI and Systems CoDesign Group. You will focus on cutting-edge research and development at the intersection of Generative AI workload analysis, model enablement, and co-designing the architecture for Meta's custom AI accelerators. This role involves exploring the theoretical underpinnings and practical implementation of novel hardware-aware mapping techniques to push the boundaries of AI efficiency and performance on Meta’s own silicon.

Responsibilities

Pioneer hardware-software co-design efforts for Meta's custom AI silicon, focusing on programmability, performance, and power efficiency
Integrate new silicon and system technologies into Meta’s custom AI accelerator roadmap based on workload analysis and future model/GenAI requirements
Build system performance models and simulators to analyze options for Meta's custom datacenter infrastructure
Co-optimize deep learning kernels and primitives with hardware architects and internal compiler teams for maximum efficiency on Meta's hardware platform
Influence the hardware roadmap of Meta’s custom AI accelerators
Architect and implement advanced frameworks and tooling to facilitate comprehensive comparative analyses across diverse system architectures
Lead cross-functional initiatives spanning multiple engineering organizations to drive high-impact technical milestones
Publish research results in recognized conferences (e.g., NeurIPS, ICML, ICLR, ASPLOS, ISCA, HPCA, MLSys, Micro)

Minimum Qualifications

Currently has, or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Theoretical background and practical experience with AI models (e.g., CNNs, Transformers, LLMs, Diffusion Models)
Research experience in one or more of the following areas: hardware-aware model enablement, performance modeling of AI systems or prevailing accelerators/silicon architectures
Experience in system-level performance analysis, profiling, and benchmarking of AI workloads
Hands-on proficiency with end-to-end AI hardware architecture or on-device mapping algorithm development, encompassing logic, architecture, and optimizations for performance, power, and area (PPA)
In-depth experience of Python and experience with at least one major AI framework
Track record of publishing research in peer-reviewed venues, with experience communicating technical results to both technical and non-technical stakeholders
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Preferred Qualifications

Experience working with state-of-the-art performance modeling infrastructure, as well as contributing to AI model performance projections
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences that are relevant to the position
Experience with deploying AI agents and prevalent techniques for increased efficiency
Familiarity with low-level programming for specialized hardware (e.g., CUDA, HIP, Triton) or hardware description languages (HDL)
Experience in co-designing hardware/software interfaces or influencing the architecture of custom silicon
Experience working and communicating cross-functionally in a team environment

Compensation

$122,000/year - $181,000/year; Country: US; Bonus eligible; Equity eligible

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.

California Notice

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Equal 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.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

About Meta

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