Senior Performance Verification Architect

Job Description

� Performance Verification Strategy: Develop comprehensive performance verification plans, including testbench architecture, coverage metrics, and performance metrics, tailored to the specific requirements of our high-end SoC.
� Methodology Development: Define and implement cutting-edge performance verification methodologies and best practices across different verification levels (block, SoC, SoP), leveraging the latest techniques for high-performance SoC validation.
� Toolchain Selection: Evaluate and select appropriate performance verification tools (e.g., Direct, UVM, Formal, Emulation) based on project requirements, team expertise, and the specific challenges of high-end SoCs.
� Team Coordination: Collaborate with architecture, design engineers, verification engineers, validation, and software teams to ensure effective verification coverage and efficient resource allocation.
� Emulation Strategy: Develop and oversee the emulation strategy, working closely with software teams to ensure seamless integration and accurate performance validation, especially for complex AI workloads.
� Performance Metrics: Define and track key performance metrics (e.g., IPC, latency, power consumption, MLPerf benchmarks) to assess the SoC's performance against stringent requirements.
� Performance Optimization: Identify performance bottlenecks and work closely with design teams to implement optimizations, leveraging your expertise in performance analysis and tuning techniques.
� Mentorship and Training: Provide guidance and training to team members on performance verification methodologies, tools, and best practices, fostering a culture of continuous learning and improvement.

Qualifications

� 10+ years of experience in VLSI chip performance verification, with a strong focus on high-end SoCs and AI applications.
� Proven track record of leading performance verification teams and delivering successful projects that meet demanding performance targets.
� Deep understanding of performance verification methodologies, benchmarking, and analysis tools tailored for high-performance SoCs.
� Excellent problem-solving, analytical, and communication skills, with the ability to effectively collaborate with cross-functional teams.
� Strong leadership and mentorship skills to guide and inspire the team towards achieving exceptional performance.
� BSc in Electrical Engineering, Computer Engineering, or a related field, MSc - an advantage.
� Experience with AI-specific performance benchmarks, NoC performance benchmark and optimization techniques - an advantage.
� Knowledge of system-level performance analysis and modeling for high-performance SoCs - an advantage.
� Experience with scripting languages (e.g., Python, Perl) for automation and data analysis - an advantage.

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.