Modeling and simulation engineer Jobs in Austin, TX

Graphics (GPU) Architectural Modeling Engineer

Austin, Texas, United States

Hardware

Summary

Posted : Oct 21, 2024

Role Number : 200574762

Do you love crafting elegant solutions to highly sophisticated challenges? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC)! You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices.

We are looking for engineers who are passionate about Architectural Models. You will be responsible for the pre-silicon functional and performance modeling of our industry leading low power GPUs. This includes developing detailed models of the architectural and micro-architectural aspects of various blocks and IPs in the GPU and how they operate within the broader GPU design.

Description

As a Graphics (GPU) Architectural Modeling Engineer, you will :

• Drive the development, validation, and verification of advanced graphics processing unit (GPU) designs and architectures.
• Drive and develop bit-accurate architectural models for hardware / software (HW / SW) co-validation.
• Drive and develop timing-accurate architectural and micro-architectural models for performance validation and correlation.
• Drive the triage of regression failures and debug failures to root cause.
• Drive coding and modeling best-practices and improve modeling infrastructure.
• Drive multi-functional teams to best practice HW and SW solutions.
• Roll up and present results and recommendations while working closely and collaboratively across functional teams and organizations.

Minimum Qualifications

Experience in C++ Programming.

Experience with scripting languages Python, Ruby, or Perl.

Minimum of BS + 10 years of relevant experience.

Preferred Qualifications

Knowledge of GPU, CPU, or SIMD architectures.

Background in GPU Graphics Pipeline.

Background in CPU or GPU Memory Hierarchies.

Background in Advanced CPU Architecture and Micro-architecture.

Understanding of GP-GPU Compute.

Experience with the bring-up and debug of complex systems and micro-architectures.

Experience with turning architectural and micro-architectural specifications into executable C++ models.

Experience in performance analysis and debug.

Experience with HDLs, Verilog, System Verilog or VHDL.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant () .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant () .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program () .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

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