Software Engineer Systems Machine Learning - Frameworks

Meta; Menlo Park (CA); On-site; USD 122,000 - 181,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Software Engineer in Systems ML - Frameworks to develop and optimize the software stack for AI frameworks, compilers, and accelerators. You will contribute to the PyTorch core and related tooling to support state-of-the-art inference hardware, and you'll analyze models to implement compiler optimizations across DL workloads.

You will accelerate deep learning systems spanning CV, NLP, and generative AI, focusing on performance and scalability while collaborating with cross-functional

Qualifications

• Bachelor's degree or equivalent practical experience in CS/CE or related field.
• Proficient in Python and C/C++ programming.
• Experience in AI framework development or accelerating deep learning models on hardware architectures.
• Must have work authorization to work in the United States at the time of hire and ongoing employment.

Responsibilities

• Develop software stack focusing on AI frameworks, compiler stacks, and high-performance kernel development for AI accelerators.
• Contribute to PyTorch core compilers to support new hardware accelerators and optimize performance.
• Analyze neural networks and implement compiler optimization algorithms.
• Accelerate next-generation DL models including RL, CV, NLP, and generative AI.
• Performance tuning and optimization of deep learning framework and components.

Skills

Python

C/C++

Education

Bachelor's degree in Computer Science, Computer Engineering, or related technical field

Job description

You will be a member of the Inference Enablement Team and part of the bigger PyTorch AI framework organization. We build the foundational technology and frameworks that enable and optimize state-of-the‑art model architectures on new hardware. We work with many different types of model architectures across Ads, Reels, Feed, Marketplace, IG, and GenAI. We support the enablement of models on all kinds of hardware as well, including CPU, GPU, and custom Silicon. We build the model publishing frameworks and platforms to accomplish this at scale for a large, broad set of models that are pushing the state of the art in Inference. Our work involves a blend of software systems and ML, and you'll have the opportunity to learn about how PyTorch works at a more in‑depth level as well. We play an integral role in helping Meta ship the most important, state‑of‑the‑art models for inference, including models with significant Ads Revenue gain, Reels Watch Time gain, all while saving multiple MegaWatts of power through our efficiency work.

Software Engineer Systems Machine Learning - Frameworks Responsibilities

• Development of software stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of AI Accelerators architectures
• Contribute to the development of the PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance
• Analyze neural networks, develop & implement compiler optimization algorithms
• Accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc
• Performance tuning and optimizations of deep learning framework & software components

Minimum Qualifications

• 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
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Python and C/C++ programming skills
• Experience in AI framework development or accelerating deep learning models on hardware architectures
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience working with kernel frameworks like Triton, or CUDA
• OR AI frameworks: Experience in developing training and inference framework components. Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development
• Knowledge of GPU, CPU, or AI hardware accelerator architectures
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.

Meta is proud to be an Equal Employment Opportunity and Affiantive 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 [e-mail].

$121,992/year to $181,000/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.