Senior RF Design Engineer required in Dublin to Lead & Participate in projects involving the modelling, design, verification and measurements of RF and Signal Integrity of products

Responsibilities:

• Design RF measurement apparatus using modules such as switches, attenuators, LNAs, resonators and impedance matching circuits.
• Design Evaluation, performing first silicon characterization and detailed analysis.
• System-level timing analysis considering effects from silicon IO, package and board.
• Electromagnetic modelling of 2.5-D and 3-D structures on a variety of novel and commercial available materials both embedded in the silicon to external interfaces.
• Work closely with a cross-functional team and internal working group on current and next-gen quantum processors in meeting signal integrity requirements.
• Collaborate with task force groups for signal measurement test plans analysis and improvements.
• Resolve challenges in the areas of high-speed board design, power and analogue signal integrity.

Requirements:

• Bachelor’s Degree in Electronic Engineering, Physics or related discipline, M.Sc. or Ph.D.
• Minimum of 5 years postgraduate experience in RF Design.
• Ability to innovate, design, simulate and verify RF system performance at the transistor level, behavioral/architectural level.
• Experience in circuit design environments such as Cadence or ADS.
• Knowledge of Transmission line theory and microwave engineering concepts such as S-parameter and RF networks.
• Hands-on experience for RF test equipment (e.g. spectrum analyzers and network analyzers, load pull, etc.).
• Knowledge of System aspects such as Noise Figure, Phase Noise, IIP3, ACI, BER, PER, and Spurious Analysis.
• Experience in analog simulation with Hspice, ADS, ANSYS, or other toolsets.
• Experience in 3-D and 2.5-D modelling with ANSYS HFSS/Q3D.
• High motivation to continuously learn and resolve new challenges.
• People skills and team spirit.
• Experience in lab evaluation of initial silicon, programming and data analysis in C or Python.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.