What are the responsibilities and job description for the Staff System-On-Chip Modeling Engineer position at Omnivision Technologies?
DescriptionModel 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.
Salary : $178,006 - $180,000
