Sobre este puesto de Full Chip Timing Modeling and Integration Engineer en Altera
Job Details:
Job Description:
About the Role
Altera is seeking highly qualified candidates to join our Full Chip Timing team. Altera continues to deliver industry-leading Field-Programmable Gate Array (FPGA) solutions to customers.
As a Full Chip Timing Modeling and Integration Engineer, you will develop timing methodologies and execute full-chip timing for Altera’s next-generation product lines using the world's most advanced process technologies.
This is a fast-paced, dynamic environment where you will be part of a high-performance design team working toward next-generation FPGA products. You will work hands-on performing full-chip timing analysis, leveraging your extensive design experience and interpersonal skills to solve technical issues, drive continuous improvement, and clearly communicate technical trade-offs with diverse, cross-functional, and multi-site teams.
You will collaborate with cross-functional teams to define timing modeling strategies and solutions, generate high-level timing models, and integrate and validate timing models. Success in this role requires the ability to work effectively both independently and as part of a team while meeting aggressive schedules.
Responsibilities
- Develop timing methodologies and execute full-chip timing for next-generation FPGA products using advanced process technologies.
- Collaborate with cross-functional teams to define timing modeling strategies and solutions.
- Generate high-level timing models and perform timing model integration and validation.
- Perform hands-on full-chip timing analysis, including clocking and timing constraint development.
- Work with Front-End and Back-End design teams to understand design architecture and implementation.
- Analyze extraction issues, design margins, timing signoff requirements, and timing quality checks.
- Debug and troubleshoot a wide variety of technical issues, including difficult and critical design issues, and proactively intervene to resolve them.
- Drive continuous improvement, efficiently solve technical issues, and communicate technical trade-offs across cross-functional and multi-site teams.
- Work independently and collaboratively to deliver high-quality results within aggressive project schedules.
Salary Range
The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
$133,200 - $192,825 USD
We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.
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Qualifications:
Minimum Qualifications
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 5+ years of industry experience in SoC development.
- 5+ years of industry experience working with advanced semiconductor process nodes.
- 5+ years of industry experience with industry-standard timing formats and design constraints, including Liberty, Verilog, and Synopsys Design Constraints (SDC).
- 5+ years of industry experience with Static Timing Analysis (STA), including correlating STA results with SPICE.
- 5+ years of industry experience in timing modeling and library quality assurance (QA).
- 5+ years of industry experience writing Python and Tcl scripts for design automation.
- 5+ years of industry experience applying silicon modeling concepts, such as LVF and POCV.
Preferred Qualifications
- 7+ years of relevant industry experience.
- Experience completing several complex designs involving multiple voltage domains.
- Experience with common modes of operation, including functional and Design-for-Test (DFT), for use in timing constraint review and management.
- Experience in the architecture and/or design of FPGA, DDR, PCIe, or related technologies.
- Experience actively applying AI/ML techniques to improve and optimize execution.
