Full-Time

Software Engineer

Systems ML, Frameworks / Compilers / Kernels

Updated on 1/13/2025

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$177.7k - $251kAnnually

+ Bonus + Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Menlo Park, CA, USA + 2 more

More locations: New York, NY, USA | Bellevue, WA, USA

Hybrid role with in-office presence required.

Category
Backend Engineering
Embedded Engineering
Software Engineering
Required Skills
Tensorflow
CUDA
Pytorch
C/C++
Requirements
  • Proven C/C++ programming skills
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience in AI framework development or accelerating deep learning models on hardware architectures.
  • A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 12+ 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 8+ 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 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
  • Knowledge of GPU, CPU, or AI hardware accelerator architectures.
  • Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT
  • 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.
  • 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.
  • 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.
Responsibilities
  • Development of SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures.
  • Contribute to the development of the industry-leading 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.

Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.

Company Stage

IPO

Total Funding

$2.1B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

6%

1 year growth

10%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's strategic shift to Meta Quest 3 boosts its VR market potential.
  • Partnerships in the metaverse could unlock new revenue through virtual goods.
  • AI collaborations position Meta at the forefront of technological advancements.

What critics are saying

  • Relocating trust teams to Texas may increase misinformation concerns.
  • Ending fact-checking could impact user trust and advertiser confidence.
  • Discontinuation of Meta Quest Pro may affect consumer trust in VR products.

What makes Meta unique

  • Meta's collaboration with EssilorLuxottica on smart eyewear enhances its wearable tech portfolio.
  • Meta's platforms like Facebook and Instagram offer unparalleled audience targeting for advertisers.
  • Meta's investment in AI and AR technologies sets it apart in digital innovation.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours