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Software Engineer, Systems ML - SW/HW Co-design

Software Engineer, Systems ML - SW/HW Co-design

2 Days ago • All levels • Artificial Intelligence

About the job

Summary_{By Outscal}

7 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Good to have:

Master/PhD degree in Computer Science, Computer Engineering
Experience with distributed systems or on-device algorithm development
Experience with recommendation and ranking models
Technical leadership experience

Perks:

bonus
equity
benefits

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Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer, Systems ML - SW/HW Co-design Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences

Goal setting related to project impact, AI system design, and infrastructure/developer efficiency

Directly or influencing partners to deliver impact through deep, thorough data-driven analysis

Drive large efforts across multiple teams

Define use cases, and develop methodology & benchmarks to evaluate different approaches

Apply in depth knowledge of how the ML infra interacts with the other systems around it

Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design

Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications

Master/PhD degree in Computer Science, Computer Engineering

Experience with distributed systems or on-device algorithm development

Experience with recommendation and ranking models

Technical leadership experience

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

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Locations

Data Center

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.

$85.10/hour to $251,000/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.

Equal Employment Opportunity and Affirmative Action

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, 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 .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

View Full Job Description

$85100L - $251000L/yr (Outscal est.)

$168050L/yr avg.

Austin, Texas, United States