Mixed Signal ASIC Design

Job Description: ·         Lead and coordinate a team of 5 engineers in mixed-signal, RF, analog and digital domain ·         Design and guide projects on advanced mixed-signal circuits data converters, sub-sampling phase locked loops, serdes and RF circuits in CMOS and BiCMOS and low-power & low-voltage applications. ·         Skilled in Cadence custom IC EDA tools. Knowledge of Keysight Pathway desired. Achieve successful realization of the layout in close collaboration with layout team. ·         Work with application developers to co-develop hardware and software systems. Collaborate with teams in India and abroad during project implementation phase. Requirements: PhD/Master degrees from top universities Must have a Proven track record of taking multiple mixed-signal ICs through the entire development cycle, from concept to production. + 10 years’ experience industrial experience in analog and mixed-signal design. Successful realization of more than 5 ASIC designs In depth knowledge of Cadence custom IC EDA tools Proficiency in system and behavioural modeling using MATLAB, System Verilog, Verilog-A/AMS. Experience with HDL languages Verilog and/or VHDL is desired. Scripting skills: Python, Perl and C is a plus. ·         Experience with design, implementation, and development environments for reconfigurable systems (such as FPGAs) is a plus. ·         Experience with the silicon manufacturers and working with various CMOS process technologies is a plus. Experience: 10 years + relevant industry experience Desired Aptitudes: ·         Ability to work and manage high performance team. ·         One who is individual contributor to the success of the team. ·         Ability to adapt to a diverse customer base and willingness to undertake periodic local. ·         Travel to customer sites ·         Aptitude for learning new technologies and applications ·         Good writing, verbal and interpersonal communication skills ·         Competent in developing solutions as well as identifying problems ·         Knowledge of production processes to ensure quality and robustness