Full-Time

AI Frameworks Integration Lead

Posted on 9/3/2024

Ampere

Ampere

1,001-5,000 employees

Manufactures high-performance processors for cloud computing

Data & Analytics
Enterprise Software

Compensation Overview

$163.1k - $271.9kAnnually

+ Bonus + Equity Awards

Senior, Expert

Santa Clara, CA, USA + 1 more

More locations: Portland, OR, USA

Hybrid position requiring in-office presence.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Git
Pytorch
Linux/Unix
Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a similar quantitative field (Masters/PhD is preferred) and a minimum 12 years of overall software engineering experience including 4 years of experience directly related to this role.
  • Proficiency in Python and C/C++: With at least 4 years of hands-on experience, you excel in these critical programming languages, supporting robust and efficient software development.
  • Expertise in Large-Scale Software Systems: Your previous experience with complex software architectures showcases your ability to handle big, challenging projects.
  • Mastery of Essential Tools: You are proficient with Linux, Git, GCC, and LLVM, ensuring seamless integration and development across various platforms.
  • Startup Agility: Thriving in fast-paced startup environments, you are adept at turning ideas into reality and achieving results swiftly.
  • Machine Learning and Deep Learning Acumen: You bring strong knowledge of key concepts and have practical experience with popular frameworks like TensorFlow, PyTorch, Llama.cpp, and vLLM, positioning you at the forefront of AI innovation.
Responsibilities
  • Lead the AI Framework Software Integration Team: Head a dynamic team dedicated to integrating advanced AI frameworks, driving cutting-edge development and innovation.
  • Collaborate with the Silicon Design Team: Work closely with Ampere's silicon design experts on the groundbreaking Ampere Aurora AI accelerator, ensuring seamless hardware-software synergy.
  • Implement and Optimize Machine Learning Libraries: Design and implement innovative solutions and enhancements for popular machine learning libraries such as Llama.cpp, PyTorch, JAX, vLLM, and ONNX, significantly improving their functionality and efficiency.
  • Analyze and Optimize Neural Network Models: Conduct comprehensive analyses of neural network models, identifying and proposing critical improvements and optimizations at both the model and framework levels, advancing performance and effectiveness.
  • Develop Cutting-Edge AI Co-Processors/Accelerators: Take the lead in building state-of-the-art software and hardware AI co-processors/accelerators, pushing the boundaries of what's possible in AI technology.

Ampere Computing creates high-performance processors specifically for cloud computing applications, achieving significant performance improvements over competitors. Their processors are designed for sustainability, delivering high performance while using less power through a unique architecture and efficient design. Targeting data centers and businesses, Ampere's scalable processors cater to various environments, from large cloud data centers to edge computing. The company also offers developer tools and resources to support the creation of cloud-native solutions.

Company Stage

Private

Total Funding

$369.6M

Headquarters

Santa Clara, California

Founded

2017

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Ampere's partnership with Qualcomm enhances their AI-specific cloud solutions.
  • The expansion to 256 cores in AmpereOne attracts high core density seekers.
  • Focus on sustainable computing aligns with eco-conscious market demands.

What critics are saying

  • AWS's 896-core instance challenges Ampere's high-performance computing position.
  • Potential Arm acquisition may disrupt Ampere's business model and focus.
  • Oracle's lower CPU core pricing could affect Ampere's competitiveness.

What makes Ampere unique

  • Ampere's processors offer 50% higher performance than Genoa and 68% than Bergamo.
  • Their single-threaded core architecture ensures high performance with lower power consumption.
  • Ampere's Altra Family scales from 32 to 128 cores, suitable for diverse environments.

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