Descripción del puesto:
About (COMPANY NAME)
Combining technical expertise and a commitment to quality, (COMPANY NAME) has established itself as the industry standard for excellence in video performance by offering pristine imagery, efficient compression, and low-power operation. For our next phase of growth, we are looking for talented team members to help us deliver our advanced computer vision algorithms to tomorrow's intelligent video products. Our target applications include autonomous vehicles, intelligent video surveillance, self-flying drones, smart wearable cameras, 360-degree immersive video, and more.
Visit our Company Life page to learn more about our team, or browse the job offerings listed below. If you don't find an opportunity that precisely fits your qualifications or career ambitions, we would still love to hear from you.
As an Equal Opportunity/Affirmative Action Employer, (COMPANY NAME) recruits qualified applicants without regard to race, color, national origin, sex, physical disability, or veteran status. Background check required if hired.
(COMPANY NAME) has some exciting internship opportunities for self-motivated and creative students near completion of their master's degree. We are looking for talented engineers who possess a strong interest in VLSI design, programming and computer architecture.
(COMPANY NAME) designs complex SoCs which include custom DSP and computer vision blocks, CPUs and co-processors. Some example responsibilities will include:
* Develop test benches (or parts thereof), write and debug tests and RTL logic.
* Write Random Test Generators to automatically and intelligently generate the tests.
* Write coverage monitors, checkers, assertions and collect statistics.
* Create tools, scripts and utilities to aid in creating stimulus and analyzing the results of simulations, including performance measurements.
The internship program requires some exposure to the programming and scripting languages like Verilog, System Verilog, UVM, C and C++, Perl, Python or assembly code. We expect that interns will be able to pick up missing skills quickly, deliver their assignments on time, and present their work at the end of the program