Analog Circuit Designer (Contract)

Intel Corporation•Folsom, CA

11d•$52,000 - $200,000•Onsite

About The Position

The Analog Circuit Designer will contribute to the development, testing, and validation of technologies for data centers as part of Intel’s Design Sales Acceleration (DSA) group. DSA provides design validation tools and services to Intel customers building Intel-based designs for digital infrastructure. The role collaborates with system design and simulation experts to support system validation and improve performance, accuracy, and reliability. This is an Intel contract position expected to last 6–9 months, depending on business needs, and requires an on-site presence in Folsom, California.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
At least 3 years of hands-on experience in platform hardware design, including PCB development, component specification, and system-level integration.
At least 3 years of hands-on experience with PCB design tools and schematic capture software.
At least 3 years of hands-on experience with BOM cost analysis and design tradeoffs at board and system levels.
At least 3 years of hands-on experience debugging and resolving hardware issues during system bring-up and power-on activities.
Strong communication and collaboration skills with cross-functional teams.
Passion for innovation and contributing to impactful projects.

Nice To Haves

Master’s degree in Electrical Engineering, Computer Engineering, or a related field, with at least 2 years of professional experience.
Knowledge of hardware verification methods and validation processes.
Experience in thermal solutions, materials testing, or packaging design for electronic hardware.

Responsibilities

Analyze system-level challenges and identify solutions to optimize performance and correlation.
Collaborate with cross-functional teams to design and implement pre-silicon testing methodologies.
Develop and execute validation plans to ensure system-level accuracy and reliability.
Use data-driven techniques to support decision-making and improve processes.
Document work and communicate effectively with stakeholders.
Enhance tools and techniques to improve system validation workflows and outcomes.