Software Engineer, Systems ML - Compilers / Kernels

Meta; Seattle (WA); On-site; USD 122,000 - 181,000; Full time

Job summary

Meta’s MTIA Software Team is hiring a Software Engineer to work on the PyTorch AI framework core compilers and AI accelerator kernels. You will analyze deep learning models, implement optimizations, and collaborate with AI researchers to accelerate next‑gen models across recommendations, vision and NLP.

The role focuses on high‑performance software and hardware co-design. You will gain experience in compiler frameworks, DL graph optimizations, and kernel authoring for MTIA hardware, contributing

Qualifications

• Bachelor's degree in CS/CE or equivalent, completed before joining Meta.
• Proven C/C++ programming skills.
• Experience in AI framework development or accelerating DL models on hardware.
• Familiarity with PyTorch, Caffe2, TensorFlow, ONNX or TensorRT is a plus.

Responsibilities

• Develop the software stack for AI compiler, frameworks and high‑performance kernels.
• Contribute to PyTorch AI framework core compilers for new hardware accelerators.
• Analyze deep learning models and implement compiler optimization algorithms.
• Collaborate with AI researchers to accelerate next‑gen DL models across domains.
• Perf tuning and optimization of DL framework components.

Skills

C/C++ programming

AI framework development

Hardware acceleration experience

Education

Bachelor's degree in Computer Science or Computer Engineering or equivalent

Tools

PyTorch

TensorFlow

ONNX

Caffe2

TensorRT

CUDA

Job description

Summary:

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.

Required Skills:

Software Engineer, Systems ML - Compilers / Kernels Responsibilities:

1. 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

2. 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

3. Analyze deep learning networks, develop & implement compiler optimization algorithms

4. Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc

5. Performance tuning and optimizations of deep learning framework & software components

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. Proven C/C++ programming skills

3. Experience in AI framework development or accelerating deep learning models on hardware architectures

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

Preferred Qualifications:

Preferred Qualifications:

1. Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT

2. 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

3. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

4. 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

5. Knowledge of GPU, CPU, or AI hardware accelerator architectures

6. 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

7. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

9. 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

Public Compensation:

$121,992/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff…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].