Research, design, develop, and/or test electronic components and systems for semiconductors and related devices. Lead definition, design, verification, and/or documentation for ASIC development.
Responsibilities
Research, design, develop, and/or test electronic components and systems for semiconductors and related devices
Lead definition, design, verification, and/or documentation for ASIC development
Determine architecture design, logic design, and/or system simulation
Design and develop CPU competitive analysis solutions, focusing on x86, ARM, and other architectures
Build and optimize a framework for generating targeted droop events in DI/DT analysis, enabling accurate power modeling
Internship focused on synthesizing vehicle telemetry, simulation data, and operational safety metrics into actionable reports and dashboards for Zoox's autonomous driving fleet.
Locations (2)
Foster City, California, United States
Bay Area, California, United States
Compensation
The monthly salary range for this position is $5,500 to $9,500.
Responsibilities
Analyze fleet safety data to extract trends
Benchmark safety metrics against peer standards
Build reporting dashboards and automated data pipelines
Collaborate cross‑functionally to translate findings into safety mitigations
Requirements
Master’s degree in Automotive Safety, Robotics, Mechanical Engineering, Systems Engineering, Data Analytics, or related discipline
Research and develop compact device and system models to predict silicon timing behavior, develop tools and methodologies to improve silicon performance and reliability, and explore physical effects influencing timing and design decisions.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
Responsibilities
Research and develop compact device and system models
Use Machine Learning and analytical techniques to speed up device and system timing characterization
Develop tools and methodologies to predict and improve silicon performance and reliability
Explore how physical effects influence timing and design decisions
Requirements
Master's degree or higher in Electrical Engineering, Computer Engineering, or related field
Nice to have: prior VLSI working experience or internships
Nice to have: familiarity with BSIM or other device compact models
Nice to have: coursework or academic projects in VLSI Design or CAD Design
Research and develop compact device and system models to predict silicon timing behavior, use machine learning to accelerate characterization, develop tools and methodologies to improve silicon performance and reliability, and explore physical effects influencing timing and design decisions.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
Responsibilities
Research and develop compact device and system models to predict silicon timing behavior
Use machine learning and analytical techniques to speed up device and system timing characterization
Develop tools and methodologies to predict and improve silicon performance and reliability
Explore how physical effects influence timing and design decisions
Requirements
Master's degree or higher in Electrical Engineering, Computer Engineering, or related field
Nice to have: prior VLSI working experience or internships
Nice to have: familiarity with BSIM or other device compact models
Nice to have: coursework or academic projects in VLSI Design or CAD Design
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