Degree in Artificial intelligence- AI
Degree in Computer Engineering
Degree in Electrical Engineering
Aartificial intelligence, Computer Vision (CV), Design, Perl Programming, Python Programming, Shell Scripting language
As a member of Recogni’s ASIC team, you will be responsible for the pre-silicon correctness and quality of a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company’s flagship perception module product for autonomous driving applications.
This ASIC’s design closely couples novel computational accelerator units with 3rd-party SoC IP blocks to form an end-to-end vision perception module that achieves record- breaking computational performance at low power.
Your responsibilities will be wide-ranging and and run the gamut of working closely with design engineers to stay abreast of the specification and implementation of ASIC blocks, developing comprehensive test and coverage strategies, implementing the verification environment and tests using object-oriented tools, in particular System Verilog and UVM, handling bug tracking and coverage convergence and developing scripts and methodologies for the front-end ASIC flow.
Responsibilities:
Required Qualifications:
Reasons to consider joining Recogni:
Recogni's culture was built on the following values that are equally important to us as business:
Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
A note to Recruitment Agencies: Please don’t reach out to Recogni employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
The automobile industry has arrived at a crossroads. The transition to electric vehicles (EV) and the vitalized development of fully-autonomous vehicles (AV) has placed a big burden on fitting extraordinary amounts of computational power for artificial intelligence within the energy budget of batteries without affecting range. While battery technology is improving slowly, advances in compute efficiency have stalled as mere Moore's Law scaling of
San Jose, CA, USA
2-4 year