16 Qubit Jobs

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 Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements. Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks. Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots. Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance. Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture. Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices. Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD). Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD). Solid grasp of cleanroom chemical safety, defect prevention and statistical process control. Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows. Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting. Preferred Experience fabricating or characterising Josephson-junction devices for superconducting qubits. Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity). Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling. Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling. Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control. Skills: dry etching,optical lithography,qubit-control schemes,gate fidelity measurement,data processing in matlab,quantum-state & process tomography,e-beam lithography,numerical tool-chains,ldpc codes,quantum-state tomography,afm,automated data acquisition,surface codes,matlab,hamiltonian engineering,teamwork,communication,quantum device characterization,quantum error-correction codes,thin-film deposition,coherence times measurement,data processing in python,circuit qed,quantum-software stacks,collaboration,superconducting-qubit error-correction schemes,dynamical decoupling,cleanroom safety,error-correction concepts,xrd,process-automation scripts,peer-reviewed publications,error-mitigation techniques,sem,python-based quantum platforms,wet etching,quantum-process tomography,semiconductor,artificial intelligence,experimental protocols,statistical process control,cryogenic fixture design,fault-tolerant architectures,python,computational modelling of quantum circuits,quantum computing,problem-solving,numerical methods

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 execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

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 Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements. Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks. Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots. Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance. Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture. Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices. Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD). Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD). Solid grasp of cleanroom chemical safety, defect prevention and statistical process control. Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows. Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting. Preferred Experience fabricating or characterising Josephson-junction devices for superconducting qubits. Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity). Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling. Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling. Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control. Skills: dry etching,optical lithography,qubit-control schemes,gate fidelity measurement,data processing in matlab,quantum-state & process tomography,e-beam lithography,numerical tool-chains,ldpc codes,quantum-state tomography,afm,automated data acquisition,surface codes,matlab,hamiltonian engineering,teamwork,communication,quantum device characterization,quantum error-correction codes,thin-film deposition,coherence times measurement,data processing in python,circuit qed,quantum-software stacks,collaboration,superconducting-qubit error-correction schemes,dynamical decoupling,cleanroom safety,error-correction concepts,xrd,process-automation scripts,peer-reviewed publications,error-mitigation techniques,sem,python-based quantum platforms,wet etching,quantum-process tomography,semiconductor,artificial intelligence,experimental protocols,statistical process control,cryogenic fixture design,fault-tolerant architectures,python,computational modelling of quantum circuits,quantum computing,problem-solving,numerical methods

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

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 Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits, delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research Skills: numerical tool-chains,qubit-control schemes,artificial intelligence,dynamical decoupling,python-based quantum platforms,quantum error-correction codes,problem-solving,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,ldpc codes,numerical methods,communication,quantum-software stacks,circuit qed,peer-reviewed publications,semiconductor,hamiltonian engineering,experimental protocols,collaboration,matlab,error-mitigation techniques,fault-tolerant architectures,quantum computing,python,surface codes,quantum-state & process tomography

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 Architect fully fault-tolerant, scalable quantum processors by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP. Design, simulate and benchmark surface, LDPC and bosonic codes on noise-biased hardware; iterate solutions with cryo-control and fabrication teams. Build numerical tool-chains in Python/QuTiP/Qiskit to model error propagation, mitigation and gate-fidelity limits, delivering data-driven design insights. Prototype dynamical-decoupling and error-mitigation schemes that extend coherence and enable bias-preserving logical gates. Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions. Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing. Skills & Qualifications Must-Have PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus. 3 + years designing quantum error-correction codes (surface, LDPC) and fault-tolerant architectures. Proficiency in Python, MATLAB and quantum-software stacks for large-scale simulations and data analysis. Hands-on experience with dynamical decoupling/error-mitigation techniques on experimental platforms. Strong record of peer-reviewed publications and successful research projects. Excellent problem-solving, communication and collaborative skills. Preferred Familiarity with noise-biased bosonic codes and autonomous error-correction methods. Experience writing DoE and experimental-improvement reports to guide hardware trials. Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication. Proven patent filings or open-source contributions in quantum technology. Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling. Engagement with industry consortia or standards bodies advancing quantum-error-correction research Skills: numerical tool-chains,qubit-control schemes,artificial intelligence,dynamical decoupling,python-based quantum platforms,quantum error-correction codes,problem-solving,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,ldpc codes,numerical methods,communication,quantum-software stacks,circuit qed,peer-reviewed publications,semiconductor,hamiltonian engineering,experimental protocols,collaboration,matlab,error-mitigation techniques,fault-tolerant architectures,quantum computing,python,surface codes,quantum-state & process tomography

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

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 Model coupled superconducting-qubit systems, building Hamiltonian-level descriptions and validating them through large-scale numerical simulations focused on error-correction performance. Develop and optimise qubit-control schemes in close collaboration with processor-design engineers, informing architecture improvements. Design simulation workflows and computational tools to predict coherence times, gate fidelities and other key device metrics. Create experimental protocols and analysis pipelines for quantum-state & process tomography, feeding results back into theoretical models. Publish findings in peer-reviewed venues and author technical reports that guide design-of-experiments (DoE) and roadmap decisions. Champion a culture of rigorous peer review, knowledge-sharing and cross-functional collaboration within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/M.Tech/PhD in Physics, Electrical Engineering or related field with strong quantum-mechanics foundation. Deep knowledge of Hamiltonian engineering, circuit QED and superconducting-qubit error-correction schemes. Expertise in numerical methods & computational modelling of quantum circuits; proficiency with Python-based quantum platforms (e.g., QuTiP, Qiskit, Cirq). Experience designing protocols to measure coherence times, gate fidelities and tomography. Demonstrated record of peer-reviewed publications in quantum technology and strong problem-solving & communication skills. Preferred Familiarity with bosonic codes, autonomous error-correction and advanced value-engineering techniques. Experience writing analytical reports to shape DoE and experimentation roadmaps. Prior work on GPU-accelerated simulators or distributed-computing pipelines for large-scale quantum modelling. Contributions to open-source quantum-software libraries or standards bodies. Exposure to hybrid AI-quantum workflows or domain-specific optimisation (life-sciences, finance, materials). Skills: qubit-control schemes,semiconductor,quantum-state & process tomography,artificial intelligence,computational modelling of quantum circuits,hamiltonian engineering,python-based quantum platforms,circuit qed,numerical methods,experimental protocols,superconducting-qubit error-correction schemes,quantum computing

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 Model coupled superconducting-qubit systems, building Hamiltonian-level descriptions and validating them through large-scale numerical simulations focused on error-correction performance. Develop and optimise qubit-control schemes in close collaboration with processor-design engineers, informing architecture improvements. Design simulation workflows and computational tools to predict coherence times, gate fidelities and other key device metrics. Create experimental protocols and analysis pipelines for quantum-state & process tomography, feeding results back into theoretical models. Publish findings in peer-reviewed venues and author technical reports that guide design-of-experiments (DoE) and roadmap decisions. Champion a culture of rigorous peer review, knowledge-sharing and cross-functional collaboration within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/M.Tech/PhD in Physics, Electrical Engineering or related field with strong quantum-mechanics foundation. Deep knowledge of Hamiltonian engineering, circuit QED and superconducting-qubit error-correction schemes. Expertise in numerical methods & computational modelling of quantum circuits; proficiency with Python-based quantum platforms (e.g., QuTiP, Qiskit, Cirq). Experience designing protocols to measure coherence times, gate fidelities and tomography. Demonstrated record of peer-reviewed publications in quantum technology and strong problem-solving & communication skills. Preferred Familiarity with bosonic codes, autonomous error-correction and advanced value-engineering techniques. Experience writing analytical reports to shape DoE and experimentation roadmaps. Prior work on GPU-accelerated simulators or distributed-computing pipelines for large-scale quantum modelling. Contributions to open-source quantum-software libraries or standards bodies. Exposure to hybrid AI-quantum workflows or domain-specific optimisation (life-sciences, finance, materials). Skills: qubit-control schemes,semiconductor,quantum-state & process tomography,artificial intelligence,computational modelling of quantum circuits,hamiltonian engineering,python-based quantum platforms,circuit qed,numerical methods,experimental protocols,superconducting-qubit error-correction schemes,quantum computing

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 execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

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 Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements. Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks. Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots. Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance. Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture. Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices. Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD). Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD). Solid grasp of cleanroom chemical safety, defect prevention and statistical process control. Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows. Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting. Preferred Experience fabricating or characterising Josephson-junction devices for superconducting qubits. Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity). Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling. Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling. Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control. Skills: dry etching,optical lithography,qubit-control schemes,gate fidelity measurement,data processing in matlab,quantum-state & process tomography,e-beam lithography,numerical tool-chains,ldpc codes,quantum-state tomography,afm,automated data acquisition,surface codes,matlab,hamiltonian engineering,teamwork,communication,quantum device characterization,quantum error-correction codes,thin-film deposition,coherence times measurement,data processing in python,circuit qed,quantum-software stacks,collaboration,superconducting-qubit error-correction schemes,dynamical decoupling,cleanroom safety,error-correction concepts,xrd,process-automation scripts,peer-reviewed publications,error-mitigation techniques,sem,python-based quantum platforms,wet etching,quantum-process tomography,semiconductor,artificial intelligence,experimental protocols,statistical process control,cryogenic fixture design,fault-tolerant architectures,python,computational modelling of quantum circuits,quantum computing,problem-solving,numerical methods

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 execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

About the Company The role involves custom design and development of Tools on trending Quantum Hardware. Extensive Experience in Quantum/Classical Hardware Circuits for improving qubit coherence and areas like error correction. About the Role Overall experience of 12 years in Quantum/Classical Computing Hardware related Tools Development. Responsibilities Experience in Industry leading Quantum Hardware related Tools Development – Minimum 2 years Research Experience in Quantum Computing Experience in Design and Development of Applications on trending Quantum Hardware Good understanding of Quantum Theories Qualifications Overall experience of 12 years in Quantum/Classical Computing Hardware related Tools Development Required Skills Experience in Industry leading Quantum Hardware related Tools Development – Minimum 2 years Research Experience in Quantum Computing Experience in Design and Development of Applications on trending Quantum Hardware Good understanding of Quantum Theories Show more Show less

This is a remote position. About The Company Qubit Capital is an AI-driven matchmaking platform that connects startups with investors worldwide. Our platform uses data analysis to match the right investors with startups seeking funding. We aim to simplify the fundraising process for startups and investors by providing a seamless and efficient platform. We support clients right from the documentation stage till the deal closure. Our current focus market is the USA, Europe, UK, India and the surrounding regions. This is a remote position. Your Role: We are seeking a Financial Analyst passionate about finance, technology, and the global startup ecosystem. This role involves close collaboration with startup founders, venture capitalists, and other key stakeholders to understand their financial needs and provide strategic insights. The ideal candidate will have a strong background in investment banking or venture capital and a proven track record of analytical excellence. Main Responsibilities: Analyse businesses to understand their funding requirements and financial health. Conduct market research and financial analysis to identify trends, opportunities, and potential investment risks. Assist in the preparation and delivery of pitch presentations, client materials, and correspondence. Provide continuous support to clients to ensure satisfaction and successful partnerships. Collaborate with team members across departments to ensure cohesive strategy implementation and deal execution. Stay abreast of market trends, regulatory changes, and innovations in the fintech and startup sectors. Requirements Bachelor’s degree in Finance, Economics. A Master’s degree or relevant certifications (such as CFA or FRM) is highly preferred. 1-2 years of Investment Banking Industry experience required Ability to work independently and as part of a team Knowledge of financial models, valuations and investor pitch decks Passion for startups, technology, and fundraising Ability to work in a fast-paced and dynamic environment Exceptional communication and interpersonal skills, with the ability to articulate complex financial information in a clear and concise manner Benefits Competitive salary and incentive structure. Remote work opportunities. Opportunities for career growth and development. Chance to work with a dynamic and innovative team in a rapidly growing industry Demonstrated passion for startups, technology, and innovation. Strong analytical and problem-solving skills. Ability to thrive in a fast-paced and dynamic work environment. Show more Show less

This is a remote position. About The Company Qubit Capital is an AI-driven matchmaking platform that connects startups with investors worldwide. Our platform uses data analysis to match the right investors with startups seeking funding. We aim to simplify the fundraising process for startups and investors by providing a seamless and efficient platform. We support clients right from the documentation stage till the deal closure. Our current focus market is the USA, Europe, UK, India and the surrounding regions. Your Role: We are seeking an experienced Business Development Manager with a strong background in startup or investment banking to join our dynamic team. The primary role will be to onboard startup founders onto Qubit Capital's platform, educating them about our services and converting them into clients. The ideal candidate should have a passion for technology, startups, and fundraising, with proven experience in international B2B sales. Main Responsibilities: Manage leads generated by the marketing department and set up virtual meetings with potential clients (International Startup Founders). Educate startup founders about Qubit Capital's services, highlighting how it works and its benefits. Build and maintain relationships with potential and existing customers, ensuring their satisfaction. Create and execute sales strategies and plans to achieve sales targets. Collaborate with the marketing team to develop marketing campaigns and strategies. Conduct market research and analysis to identify trends, opportunities, and potential risks. Maintain accurate records of sales activities and customer interactions in the CRM. Requirements What we are Looking For: A minimum of 3 years of work experience in business development managerial profile, with a proven track record of developing and implementing successful strategies. Strong negotiation and persuasion skills. Ability to work independently and as part of a team. Passion for startups, technology, and fundraising. Strong analytical and problem-solving skills. International B2B sales experience Ability to work in a fast-paced and dynamic environment. Proficiency in CRM software and sales tools. Benefits Why to work with Qubit Capital: Competitive salary and incentive structure. Remote work opportunities. Opportunities for career growth and development. Chance to work with a dynamic and innovative team in a rapidly growing industry. Show more Show less

Job Description Job Description The Manager Data Analytics position is responsible you’ll be a lead in developing and driving our team and our business to get the most out of data. You’ll push thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. You’ll coach and develop colleagues to achieve continually high performance and outputs. This position will be working with multiple teams and will need to communicate effectively with people of all job levels and personalities. The ideal applicants will be eager to help on a variety of projects and be continuously looking to grow their skills Your Impact Delivering analytics and optimization solutions Strong analytical skills and data driven approach to problem solving Deep understanding of online marketing disciplines and how they contribute to customer acquisition, conversion and retention Demonstrated experience working across multi-disciplinary teams using analytics to drive connected solutions which impact customer outcomes Representing Sapient as an expert in the Digital Analytics industry with deep technical expertise. Ability to drive and manage analytics and business teams through requirements gathering, solution design, planning and implementation, and reporting. Qualifications Your Skills & Experience: Experience in various marketing analytics models such as Market Mix Modeling, Attribution Modelling, visitor behavior analysis, and customer sentiment analysis. Experienced in Marketing Performance analysis i.e. data aggregation (leveraging marketing & click-stream APIs, data cleaning & transformation), analysis & segmentation, targeting & integration, and advanced analytics (lead scoring, churn analysis, lifetime value analysis, clustering, regression, forecasting, etc.). Experience working on R/Python to run statistical analysis. Experience working on cloud data platforms Exposure to CDP and/or DMP platforms and hands-on experience in integrating digital data with these platforms is a must Proven experience in testing, both A/B and MVT using tools such as Maxymiser, Adobe Target, Google Web Optimizer, Qubit Deliver Bachelor’s degree and year of work experience of 9-12 years of working experience in data analytics, with a marketing team on campaign planning, campaign analytics, or business analytics Set Yourself Apart With Hands-on experience in multiple Industries Strong Articulation skills Self-starter who requires minimal oversight Ability to prioritize and manage multiple tasks Process orientation and the ability to define and set up processes Ability to manage, lead and grow teams Ability to work with distributed teams and stakeholders Additional Information A Tip From The Hiring Manager Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work. Additional Information Gender-Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers.We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity.United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value. Show more Show less