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Meta Research Scientist, Systems ML - SW/HW Co-Design - CHIPs in Menlo Park, California

Summary:

Meta is seeking a software engineer to join our AI & Systems Co-Design team to drive the definition of our next-generation compute and storage architectures. This person will work cross-functionally with internal software and platforms engineering teams to understand the workloads and infrastructure requirements. They will drive technology path-finding, roadmap definition and co-design activities to deliver new capabilities and efficient systems for our fleet. They will also work with external industry partners to influence their roadmaps and build the best products for Meta’s Infrastructure. Join our team and help shape one of the largest infrastructure footprints which powers Meta’s applications used by billions of people across the globe.

Required Skills:

Research Scientist, Systems ML - SW/HW Co-Design - CHIPs Responsibilities:

  1. Develop tools and methodologies for large scale workload analysis and extract representative benchmarks (in C++/Python/Hack) to drive early evaluation of upcoming platforms.

  2. Analyze evolving Meta workload trends and business needs to derive requirements for future offerings. Apply in depth knowledge of how the AI/ML systems interact with the compute and storage systems around.

  3. Utilize extensive understanding of CPUs (x86/ARM), Flash/HDD storage systems, networking, and GPUs to identify bottlenecks and enhance product/service efficiency. Collaborate closely with software developers to re-architect services, improve codebase through algorithm redesign, reduce resource consumption, and identify hardware/software co-design opportunities.

  4. Identify industry trends, analyze emerging technologies and disruptive paradigms. Conduct prototyping exercises to quantify the value proposition for Meta and develop adoption plans. Influence vendor hardware roadmap and broader ecosystem to align with Meta's roadmap requirements.

  5. Work with Software Services, Product Engineering, and Infrastructure Engineering teams to find the optimal way to deliver the hardware roadmap into production and drive adoption.

Minimum Qualifications:

Minimum Qualifications:

  1. 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.

  2. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

  3. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

  4. Experience with programming & scripting languages such as C, C++, Java, PHP, Python

  5. Experience with hardware architecture, compute technologies and/or storage systems

  6. 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:

Preferred Qualifications:

  1. Architectural understanding of CPU, GPU, Accelerators, Networking, Flash/HDD Storage systems

Public Compensation:

$117,000/year to $173,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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