About The Company (Industry & Sector)
An advanced-technology scale-up at the crossroads of 
Quantum Computing, Artificial Intelligence and Semiconductor Engineering
. The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space.Role & Responsibilities
- Design and simulate novel superconducting-qubit circuits that will power India’s most powerful production quantum computer. 
 - Apply deep RF / microwave theory to optimise resonance, coupling and loss in on-chip cavities and interconnects. 
 - Drive multi-physics modelling in HFSS, Sonnet, COMSOL and ADS, validating results with cryogenic measurements. 
 - Collaborate with fabrication, control-electronics and theory teams to iterate processor architecture and tape-out flows. 
 - Analyse qubit-level metrics, author concise DoE reports and present design recommendations to leadership. 
 - Champion best practices in simulation automation, version control and peer design reviews within an agile R&D setup. 
 
Skills & Qualifications
Must-Have
- Master’s or PhD in Physics, Electronics or Communication Engineering plus 2 + years’ experience designing superconducting qubits. 
 - Proven expertise in qubit-level circuit design, RF/microwave theory and superconducting-device analysis. 
 - Hands-on with HFSS, Sonnet, COMSOL and ADS for 3-D EM and multi-tone simulations. 
 - Familiarity with Linux environments and scripting (TCL / Python) to automate simulation and data-processing pipelines. 
 - Strong problem-solving and communication skills; thrive in cross-functional hardware teams. 
 - Team-player mentality with a bias for rapid experimentation and data-driven design iteration. 
 
Preferred
- Experience in RF or mixed-signal PCB design for cryogenic or microwave subsystems. 
 - Prior work characterising or simulating Josephson-junction devices and qubit coherence limits. 
 - Ability to interpret RF component datasheets and translate specs into layout constraints. 
 - Familiarity with yield-optimisation techniques and SPC dashboards for nanofabrication flows. 
 - Publications or patents in quantum-hardware design or superconducting circuits. 
 - Contributions to open-source EM simulation or quantum-design toolchains. 
 
Skills: numerical tool-chains,comsol,problem-solving,coherence times measurement,statistical process control,cleanroom safety,superconducting-qubit error-correction schemes,gate fidelity measurement,ldpc codes,numerical methods,quantum-software stacks,circuit design,peer-reviewed publications,semiconductor,experimental protocols,data processing in matlab,matlab,dry etching,collaboration,quantum computing,data-driven design,automated data acquisition,quantum-state & process tomography,afm,qubit-control schemes,dynamical decoupling,artificial intelligence,optical lithography,python-based quantum platforms,quantum error-correction codes,hfss,thin-film deposition,rf/microwave theory,process-automation scripts,quantum device characterization,sem,wet etching,cryogenic fixture design,communication,quantum-process tomography,computational modelling of quantum circuits,superconducting qubit design,error-correction concepts,tcl,circuit qed,linux,hamiltonian engineering,teamwork,sonnet,team collaboration,quantum hardware,ads,error-mitigation techniques,fault-tolerant architectures,python,quantum-state tomography,e-beam lithography,data processing in python,surface codes,xrd