Full-Time

Software Engineer

Systems ML, Frameworks / Compilers / Kernels

Confirmed live in the last 24 hours

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$85.1 - $251kAnnually

+ Bonus + Equity + Benefits

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
Embedded Engineering
Software Engineering
Required Skills
Pytorch
Natural Language Processing (NLP)
C/C++
Computer Vision

You match the following Meta's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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.
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.
Desired Qualifications
  • 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
  • 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.
  • 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.
  • 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.

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

$2.2B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

8%

1 year growth

10%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's collaboration with Oakley expands its reach into the wearable tech market.
  • Development of a new high-end Quest headset enhances Meta's VR market position.
  • Investment in Databricks supports Meta's AI capabilities with the Llama model.

What critics are saying

  • EU scrutiny of Meta's ad-free service could lead to legal challenges.
  • Rise of AI competitors like DeepSeek threatens Meta's AI market position.
  • Consumer adoption challenges may affect Meta's new high-end Quest headset.

What makes Meta unique

  • Meta's platforms like Facebook, Instagram, and WhatsApp dominate global social media engagement.
  • Meta's Oculus division leads in virtual reality hardware and experiences.
  • Meta's data-driven advertising tools offer unmatched audience targeting capabilities.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours