Software Engineer, Systems ML - Compilers / Kernels

Meta; New York (NY); On-site; USD 122,000 - 181,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta MTIA Software Team is building a comprehensive AI compiler and runtime platform to train and serve new DL/ML architectures, delivering high performance across hardware. You will work on PyTorch core compilers, AI frameworks, and high-performance kernels to accelerate workloads on MTIA hardware.

Collaboration with researchers will drive compiler optimizations for cutting-edge models. The role emphasizes performance tuning, tool development, and integration of AI workflows, with opportunities

Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in CS/CE or related field; degree must be completed prior to joining Meta.
• Proven C/C++ programming skills.
• Experience in AI framework development or accelerating deep learning models on hardware architectures.
• Experience with PyTorch and related AI frameworks.

Responsibilities

• Development of the SW stack with AI compiler stack, frameworks, high-performance kernel development and acceleration onto hardware architectures.
• Contribute to the PyTorch AI framework core compilers to support new inference and training AI accelerators and optimize performance.
• Analyze deep learning networks, develop and implement compiler optimization algorithms.
• Collaborate with AI research scientists to accelerate next-gen DL models (recommendation, generative AI, CV, NLP).
• Performance tuning and optimizations of deep learning framework components.

Skills

C/C++ programming

AI framework development

GPU/CPU architectures

Education

Bachelor's degree in CS/CE or related field

Tools

PyTorch

Caffe2

TensorFlow

ONNX

TensorRT

Job description

In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger PyTorch AI framework organization. MTIA Software Team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to train & serve new DL/ML model architectures, combined with auto-tuned high performance for production environments across specialized hardware architectures. The compiler stack, DL graph optimizations, and kernel authoring for specific hardware, directly impacts performance and deployment velocity of both AI training and inference platforms at Meta.You will be working on one of the core areas such as PyTorch framework components, AI compiler and runtime, high-performance kernels and tooling to accelerate machine learning workloads on the current & next generation of MTIA AI hardware platforms. You will work closely with AI researchers to analyze deep learning models and lower them efficiently on MTIA hardware. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software codesign for AI domain specific problems.

Software Engineer, Systems ML - Compilers / Kernels Responsibilities

• Development of the SW stack with one of the following core focus areas: AI compiler stack, frameworks, high-performance kernel development and acceleration onto the next generation of hardware 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 deep learning networks, develop & implement compiler optimization algorithms
• Collaborating with AI research scientists to 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
• Proven C/C++ programming skills
• Experience in AI framework development or accelerating deep learning models on hardware architectures
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

• Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT
• 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
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science, Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures
• Knowledge of GPU, CPU, or AI hardware accelerator architectures
• OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• OR AI high performance kernels: Experience with CUDA programming, OpenMP / OpenCL programming or AI hardware accelerator kernel programming. Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc

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 affirmative action employer. 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.