Performance and Modeling Engineer

Austin, TX, US • Posted 1 day ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Collaboration
  • Innovation
  • Regression Analysis
  • ROOT
  • Documentation
  • Modeling
  • Mathematics
  • Computer Science
  • Object-Oriented Programming
  • Python
  • GPU Computing
  • CUDA
  • Algorithms
  • Data Structure
  • C
  • C++
  • Assembly
  • Performance Analysis
  • Debugging
  • Computer Hardware
  • Shell Scripting
  • Management
  • GPU

Summary

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Austin, Texas. Develop architectural models for the development, validation, and verification of graphics processing unit design. Contribute to functional models for hardware/software (HW/SW) co-validation. Monitor and triage regression failures and debug failures to root cause. Handle and fulfill additional modeling related feature requests from neighboring teams. Review and scope product architecture teams' specification documents, provide feedback for issues and mistakes. Support GPU hardware and software teams' model usage during model and design bring-up. Maintain documentation for new properties and features added to functional models. Improve modeling infrastructure and tools. 40 hours/week.

Minimum Qualifications

Bachelor's degree or foreign equivalent in Mathematics, Computer Science or related field.

Experience and/or education must include:

Utilizing Object oriented programming languages like C++ and Python to work on large codebases

Leveraging knowledge of GPU computing including CUDA programming for GPU level workloads

Using advanced knowledge of computer systems and architecture to design and simulate hardware

Using proficiency in algorithms and data structures for efficient computation and hardware model development

Utilizing experience in debug of C, C++, and low level assembly for GPU models

Leveraging experience in application performance analysis, tuning and developing debug tools for hardware models

Utilizing knowledge of low-level hardware concepts (caches, pipelining, memory management, coherency) to analyze and improve hardware model fidelity

Leveraging knowledge of software build systems using shell scripting and associated utilities to manage the build process to maintain and improve GPU model

Preferred Qualifications

N/A
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: fe642cc3d36a4524cdf675fae1ec9d02
  • Posted 1 day ago
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