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Posted on 2025/11/19

^AI Frameworks Engineer - 5885903

Accenture

Raleigh, NC, United States

Full-time

Qualifications

  • Minimum 10+ years of work experience
  • Minimum 10+ years' experience with C, Transformer, Machine Translation, Python, Stochastic Gradient Descent, Neural Networks, DPC++, FPGA Fundamentals
  • HS Diploma / GED
  • Bachelor's or Associate's Degree

Benefits

  • Competitive rewards
  • Access to benefits programs
  • World-class learning resources

Responsibilities

  • Conducts design and development to build and optimize AI software
  • Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and contributes to external frameworks (e.g., TensorFlow, PyTorch)
  • Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks
  • Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries
  • Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams
  • Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, utilizing experience with machine learning and/or deep learning frameworks

Full Description

About the position

Responsibilities

• Conducts design and development to build and optimize AI software.

• Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and contributes to external frameworks (e.g., TensorFlow, PyTorch).

• Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks.

• Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries.

• Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams.

• Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, utilizing experience with machine learning and/or deep learning frameworks.

Requirements

• Minimum 10+ years of work experience

• Minimum 10+ years' experience with C, Transformer, Machine Translation, Python, Stochastic Gradient Descent, Neural Networks, DPC++, FPGA Fundamentals

• HS Diploma / GED

Nice-to-haves

• Bachelor's or Associate's Degree

Benefits

• Competitive rewards

• Access to benefits programs

• World-class learning resources