Amazon.com Services LLC
Consumer Electronics
SrPerformanceValidationEngineer
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“Sr Performance Validation Engineer at Amazon.com Services LLC. Skills: Pre-silicon validation, Performance validation, SoC design. Design validation strategies. Execute validation strategies”
What You'll Achieve.
Meet performance requirements; Meet power requirements; Meet functionality requirements
Industry & Context.
Identify bottlenecks; Debug issues; Root Cause Analysis
What They're Looking For.
Must Have
7+ years of UVM, C, System C, 7+ years of scripting experience, Deep understanding of digital design principles, Deep understanding of timing analysis, Deep understanding of power management techniques, Expertise in pre-silicon performance validation, Bachelor’s degree in electrical engineering, Bachelor’s degree in Computer Engineering, Bachelor’s degree in related field, Proficiency with RTL simulators, Proficiency with emulation platforms, Proficiency with performance analysis tools, Programming skills in Python, Programming skills in C/C++, Programming skills in SystemVerilog, Knowledge of semiconductor design flows
Nice to Have
Master's degree, Ph. D. degree, Proven track record of successful pre-silicon performance validation, Understanding of performance modeling techniques, Understanding of correlation methodologies, Familiarity with industry standards, Familiarity with protocols, Experience with machine learning accelerators, Experience with multi-core processors, Experience with complex digital designs, Experience with emulation-based validation, Knowledge of UPF, Knowledge of low-power design techniques, Knowledge of performance modeling, Knowledge of early power estimation methodologies, Experience with virtual prototyping, Experience with transaction-level modeling, Background in RTL design, Background in verification, Background in architecture
What You'll Do.
Design validation strategies
Execute validation strategies
Create validation infrastructure
Maintain validation infrastructure
Develop performance models
Maintain performance models
Create methodologies for prediction
Create methodologies for correlation
Identify performance bottlenecks
Establish validation methodologies
Establish best practices
Work with architecture teams
Work with RTL design teams
Work with verification teams
Work with emulation teams
Provide early feedback
Collaborate with external partners
Collaborate with vendors
How You'll Work.
Team & Collaboration
Design teams; Architecture teams; RTL design teams; Verification teams; Emulation teams; External partners; Vendors
Full Job Description
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced numerous devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The team that built the innovative SoCs AZ3 and AZ3 Pro that power the latest generation of Echo devices is looking for Senior Pre-Silicon Performance Validation Engineer to continue to innovate on behalf of our customers. As the Senior Pre-Silicon Performance Validation Engineer, you will be responsible for validating and verifying the performance of complex silicon designs during the pre-silicon phase, ensuring that our chip designs meet stringent performance, power, and functionality requirements before tape-out across multiple process nodes. Key job responsibilities In this role, you will: • Design and execute comprehensive validation strategies for silicon performance during the pre-silicon phase using RTL simulations, emulation platforms, and virtual prototypes. • Develop test plans that verify performance against design specifications before tape-out. • Create and maintain validation infrastructure including test benches, performance models, simulation environments, and automated validation frameworks. • Develop and maintain performance models to predict silicon behavior including frequency, power consumption, and thermal characteristics. • Create methodologies for accurate performance prediction and correlation with expected post-silicon results. • Identify performance bottlenecks through simulation and analysis, working with design teams to implement optimization strategies before tape-out. • Debug and Root Cause Analysis • Establish validation methodologies and best practices that can be adopted across the organization. Create comprehensive checklists and procedures for performance validation act
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