Graphics (GPU) Performance Modeling Engineer

Austin, TX, US • Posted 6 days ago • Updated 3 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Integrated Circuit
  • IDEA
  • RTL
  • Brainstorming
  • System On A Chip
  • GPU
  • Research
  • Performance Analysis
  • Boost
  • Productivity
  • Architectural Design
  • Writing
  • Collaboration
  • Object-Oriented Programming
  • C
  • Data Structure
  • Algorithms
  • Software Design
  • Computer Architecture
  • Communication
  • Negotiations
  • C++
  • Modeling
  • Scripting
  • Python
  • Ruby
  • Perl

Summary

Do you have an uncommon desire to seek out and solve exceedingly difficult challenges rather than the easy ones? Do you believe that truly valuable, and meaningful accomplishments are the result of pushing the limits of perseverance? Do you believe that a world-class team with relentless drive can surpass even their own high expectations?

We do! But we also realize this job isn't for everyone. What we do is not easy but you do not take the easy path. We are seeking a highly motivated, innovative, and confident individuals to join the GPU Performance Modeling Team; we are a group that is driving advanced exploration for next generation GPU architectures and micro-architectures. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting high performant products to millions of customers quickly.

Description

As a Performance Modeling Engineer you will be part of a team that is defining and optimizing Apple's GPU micro-architecture. With others you will seek out areas for improvement while collecting data and measurements that either confirm the idea or rule it out. You will collaborate with experienced designers in micro-architecture and RTL to assess the feasibility of ideas, refine ideas, and seed new ones.

The role requires the analysis of interesting workloads across existing and new product categories to identify bottlenecks and opportunities for improvement. You'll be architecting new simulator features and brainstorming novel ideas to boost simulation performance. You'll collaborate with world-class GPU and SoC Architects to steer and improve the implementation of GPU simulators and performance models used for research, performance analysis, and microarchitecture tuning. We also cross-collaborate as a larger architecture and performance team to maintain and improve the simulation environment and look for ways to boost the productivity of the entire team .

In this position you will be expected to:

- C++ performance modeling of proposed architectural solutions and features.

- Gathering, analyzing, and validating measured and simulated results to compare architectural design alternatives.

- Carefully analyze and present results to enable data specific architecture/design.

- Writing architectural specification documents in collaboration with engineers across different disciplines.

- Work with the multi-functional teams to develop architectural solutions.

- Improve Apple's modeling platform by developing APIs, tools, and optimal standard examples that can be used throughout the company.

Minimum Qualifications

Minimum of BS + 3 years of relevant experience.

Preferred Qualifications

Familiarity with a range of performance and/or power simulation environments

Strong coding skills including object-oriented programming with C & C++

Strong understanding of common data structures and algorithms

Knowledgeable in software design patterns

Knowledge of scripting languages such as Perl, Python, or Ruby

You should have strong knowledge of computer architecture & micro-architecture

Be comfortable in an environment of uncertainty and able to work through ambiguities

You will need strong communication, influence and negotiation skills to enable right data driven decisions are taken

Experience in C++ programming.

Experience with C++ modeling of Computer Architectures.

Experience with scripting languages Python, Ruby, or Perl.
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: 76fd5ef7d08a9925fd57f82ee9c54ea2
  • Posted 6 days ago
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