3 Experimental Protocols Jobs

As a member of the Discovery Services team based in Kolthur Shamirpet, Medchal, TG, IN, 500078, you will have clear individual deliverables to meet, including completing 30-40 reactions per month, 3-5 CE per month, and 12-15 successful steps per month. Additionally, you will be responsible for overseeing your team's deliverables, ensuring they achieve 40-45 reactions per month, more than 4 CE per month, and 12-15 successful steps per month. Your role will involve project planning and execution, encompassing scheme designing, RM ordering, and meeting on-time delivery targets for both yourself and your team members. You will also be expected to troubleshoot any problem areas that arise within projects, providing guidance and support to your reportees as necessary. An essential aspect of this position is the ability to independently plan work and execute experiments according to the scheduled plan. You should be adept at utilizing automation in reactions and purifications, ensuring efficiency and accuracy in your tasks. Maintaining the neatness and completeness of batch books in a timely manner is crucial, as is providing up-to-date analytical reports and experimental protocols in the required format while strictly adhering to IP regulations. Timely delivery of products and completion of records are key responsibilities, as is addressing any technical problems that may arise during projects and processes. Your role will also involve guiding junior scientists, engaging in technical discussions, and maintaining good written and spoken communication with colleagues. Safety is of paramount importance in this role, and you must adhere to safe working practices, including wearing appropriate PPE and safety shields. Conducting risk assessments and hazard analyses for new reactions and operations, following safety SOPs diligently, and striving for zero incidents are vital components of your responsibilities.,

You will be working at an advanced-technology scale-up focused on Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division of the company specializes in designing full-stack enterprise quantum computers, including superconducting processors, cryogenic control electronics, and RF instrumentation. The goal is to unlock breakthroughs across various sectors such as life sciences, finance, transportation, and space. As the Quantum Processor Architect, your primary responsibility will be to design fully fault-tolerant and scalable quantum processors. This involves crafting blueprints and error-correction strategies for next-generation devices, with a focus on developing patentable intellectual property. You will also be tasked with designing, simulating, and benchmarking various quantum error-correction codes on noise-biased hardware. Collaboration with cryo-control and fabrication teams to iterate solutions will be crucial in this role. You will need to build numerical tool-chains using Python/QuTiP/Qiskit to model error propagation, mitigation, and gate-fidelity limits. These tools will provide data-driven design insights to enhance the quantum processor's performance. Additionally, prototyping dynamical-decoupling and error-mitigation schemes will be part of your responsibilities to extend coherence and enable bias-preserving logical gates. In this position, it is essential to publish peer-reviewed papers, file patents, and author internal Department of Energy (DoE) reports that influence the company's roadmap and funding decisions. Furthermore, you will play a key role in championing rigorous peer reviews, mentoring junior researchers, and promoting cross-functional knowledge-sharing within the organization. To excel in this role, you are required to have a PhD or MS in Physics, Mathematics, Computer Science, or a related field with a focus on quantum technologies. A minimum of 3 years of experience in designing quantum error-correction codes and fault-tolerant architectures is necessary. Proficiency in Python, MATLAB, and quantum software stacks for large-scale simulations and data analysis is a must. Hands-on experience with dynamical decoupling and error-mitigation techniques on experimental platforms is highly desirable. A strong track record of peer-reviewed publications and successful research projects is also expected. Additionally, familiarity with noise-biased bosonic codes, experience in writing DoE and experimental-improvement reports, and a background in cryogenic control electronics, RF instrumentation, or superconducting-qubit fabrication are preferred qualifications. Proven patent filings or open-source contributions in quantum technology, exposure to GPU-accelerated simulators, and engagement with industry consortia or standards bodies advancing quantum-error-correction research will be advantageous in this role. As the Quantum Processor Architect, your skill set should include expertise in 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 modeling of quantum circuits, LDPC codes, communication, quantum software stacks, and fault-tolerant architectures. Your contributions will play a critical role in advancing the company's capabilities in the field of quantum computing and semiconductor engineering.,

As an integral part of an innovative technology scale-up company at the forefront of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering, you will play a crucial role in advancing enterprise quantum computing solutions. Your primary responsibility will involve modeling coupled superconducting-qubit systems, developing Hamiltonian-level descriptions, and conducting extensive numerical simulations to assess error-correction performance. Collaborating closely with processor-design engineers, you will refine qubit-control schemes to enhance architecture and efficiency. Additionally, you will create simulation workflows and computational tools to forecast coherence times, gate fidelities, and other essential device metrics. Your expertise will be instrumental in designing experimental protocols for quantum-state and process tomography, with a focus on integrating findings into theoretical models. Furthermore, you will be expected to contribute to peer-reviewed publications, technical reports, and design-of-experiments decisions. Emphasizing a culture of robust peer review, knowledge exchange, and interdisciplinary cooperation will be a key aspect of your role within the quantum-hardware program. To excel in this position, you must possess a postgraduate degree (MSc/M.Tech/PhD) in Physics, Electrical Engineering, or a related field, with a solid foundation in quantum mechanics. Your proficiency in Hamiltonian engineering, circuit QED, and superconducting-qubit error-correction schemes is imperative. Demonstrated experience in numerical methods, computational modeling of quantum circuits, and proficiency in Python-based quantum platforms such as QuTiP, Qiskit, or Cirq are essential. Your track record of designing protocols for measuring coherence times, gate fidelities, and tomography will be highly valued. Strong problem-solving abilities, effective communication skills, and a history of peer-reviewed publications in quantum technology are prerequisites for this role. Additionally, familiarity with bosonic codes, autonomous error-correction techniques, and advanced value-engineering methods will be advantageous. Experience in crafting analytical reports to influence design-of-experiments strategies and experimentation roadmaps will be beneficial. Prior exposure to GPU-accelerated simulators, distributed-computing pipelines for large-scale quantum modeling, open-source quantum software libraries, or standards bodies will be considered favorable. Knowledge of hybrid AI-quantum workflows or domain-specific optimization in areas such as life sciences, finance, or materials will further enhance your profile for this position. Your expertise in qubit-control schemes, semiconductor technology, quantum-state and process tomography, artificial intelligence, computational modeling of quantum circuits, Hamiltonian engineering, and other specified skills will be pivotal in driving the success of the quantum-hardware program.,