Staff System-On-Chip Modeling Engineer

OVT group; Santa Clara (CA); On-site; USD 178,000 - 180,000; Full time

Job summary

A leading technology group seeks a model development engineer to work on new image sensor technology solutions. This role involves system modeling, verification, and validation in collaboration with cross-functional teams. Candidates should hold a Master's degree in relevant fields and have experience in CMOS image sensors and related engineering occupations.

Qualifications

• Master’s degree plus 3 years in CMOS image sensors related occupations.
• Experience in solid-state physics for transistors.
• Hands-on device characterization experience.

Responsibilities

• Model new image sensor technology System-on-Chip solutions.
• Conduct design verification using SVA and Python.
• Engage with cross-functional teams for system validation.

Skills

Python

VerilogA

C++

Solid-state physics

Image signal processing

AI-related accelerators

Device characterization

Education

Master's degree in Electrical Engineering

Master's degree in Computer Engineering

Master's degree in Applied Physics

Tools

Cadence/Virtuoso

Job description

• Model new image sensor technology System-on-Chip solutions using Python/SystemC/VerilogA. Responsible for model development of analog and mixed-signal pixel circuitry and readout circuitry in order to enable efficient system emulation suitable to generate e.g. training data for early algorithm development.
• Conduct design verification and modeling using SVA, Python, Perl, C++ and HLS.
• Validate and match system level models against circuit simulations and real world performance and draw conclusions.
• Engage closely with cross-functional teams to establish and validate important system parameters and their trade-offs.
• Work with sensor digital and analog engineers for system design, integration and validation.
• Work with algorithm engineers for module level design.
• Work with algorithm and application engineers for image tuning and qualification.
• Define system specifications and analyze failure modes.
• Identify potential solutions to overcome circuit/device limitations at early R&D stage.
• Assist in product planning by careful balance of schedule, resources and key specifications.
• Conduct silicon validation, debugging and tuning.

Requirements:

Master’s degree in Electrical Engineering, Computer Engineering, Applied Physics or related fields plus three (3) years of experience in CMOS image sensors related engineering occupations.

Required experience:

• Experience in a device (solid-state physics) for transistors and memory (SRAM, DRAM, Emerging memories).
• Experience in CMOS image sensors, camera systems, image signal processing, and/or digital signal processing or related fields.
• Experience in using Cadence/Virtuoso in the context of SPICE/Spectre circuit simulations.
• Experience in Python Experience in VerilogA.
• Familiarity with C/C++ in an object-oriented context.
• Experience in optical simulation.
• Mechanical simulation for packages.
• Experience in hands-on device characterization and analysis.
• Experience with AI-related accelerators, display technology, and MEMS sensor technology.
• Working experience with process integration engineers for module-level design.
• Working experience closely with a digital architecture engineer for the module-level design of a neural processing unit.
• Project management experience to collaborate with external partners.

Annual base salary for this role in California, US is expected to be between $178,006 - $180,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.