SoC UPF Methodology Engineer

Austin, TX, US • Posted 60+ days ago • Updated 10 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • System On A Chip
  • Integrated Circuit
  • Art
  • Management
  • Place And Route
  • Workflow
  • Scripting
  • Python
  • Tcl
  • CMOS
  • Artificial Intelligence
  • Machine Learning (ML)
  • Workflow Optimization
  • RTL
  • Communication
  • Collaboration

Summary

Are you passionate about crafting solutions to intricate challenges? Join the Low Power group

at Silicon Technologies and contribute to the development of cutting-edge technology and

capabilities for low-power chip design. Your work will fuel Apple's next-generation chips!

You'll play a crucial role in exploring AI/ML to design the workflow for the next generation of

UPF. Additionally, you'll refine our existing UPF framework and ensure its seamless integration

and rigorous verification across our mobile products.

Description

In this role, your main objective will be to enhance our Unified Power Format (UPF)

methodologies, refining power intent specification, execution, and validation to support state-

of-the-art mobile SOCs. Key responsibilities encompass:

Enhancing power intent coverage via advanced static and dynamic verification techniques.

Developing tailored UPF solutions to align with unique project requirements.

Overseeing UPF deployment and sign-o? for frontend (FE) and place-and-route (P&R) stages.

Conducting thorough power intent assessments on custom circuitry.

Partnering with design and verification teams to troubleshoot and fix UPF-related workflow

challenges.

Integrating AI/ML technologies to optimize UPF processes and methodologies.

Minimum Qualifications

A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience

Preferred Qualifications

Expertise in UPF implementation and verification.

Proficiency in scripting with languages like Python and Tcl.

Understanding of CMOS power design principles.

Experience applying AI/ML to coding and workflow optimization.

Knowledge of multi-voltage static verification tools (e.g., VSILP/VCLP, CLP).

Familiarity with the complete RTL-to-GDSII design flow.

Strong communication abilities for e?ective collaboration across multidisciplinary teams.
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: 4c246737f83b11065c84eae8cc4bcf42
  • Posted 30+ days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Austin, Texas

Today

Full-time

Austin, Texas

Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Austin, Texas

Today

Full-time

Austin, Texas

Today

Full-time

Search all similar jobs