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QSL Electronics Development Engineer

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United States
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Hybrid
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At IBM Research, we are the innovation engine of IBM. Exploring what's next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'l collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world. About Qubit Systems Laboratory (QSL) Qubit Systems Laboratory (QSL) is a world leader in semiconductor spin qubits. Our broad expertise spans semiconductor growth, device design and modeling, cryogenic control, high-density interconnects and packaging, quantum architecture, and multiqubit demonstrations. Our system architecture is built entirely around scalable semiconductor manufacturing to make quantum computing affordable for practical business and scientific applications. About the Role As an Electronics Development Engineer, you will contribute to the design, characterization, and validation of cryogenic mixed-signal hardware used for qubit control and readout. This role involves low-temperature measurements, RF/microwave techniques, high-speed digital design, and hardware-firmware co-design. Working closely with scientists and engineers, you will help develop custom electronics, automate test workflows, analyze complex data, and solve high-impact challenges in qubit control performance. Key Responsibilities Build an understanding of cryogenic electronics and how control and readout signals enable qubit operations at low temperatures. Collaborate with scientists and engineers to help define qubit control and readout requirements across mixed-signal, RF/microwave, and high-speed digital domains. Assist in the design, implementation, and documentation of measurement techniques for characterizing qubit control electronics, including low-temperature characterization, signal and power integrity, and RF/microwave performance. Contribute to the design, specification, and validation of custom mixed-signal and RF/microwave hardware, including PCB design, board bring-up, and silicon bring-up. Support hardware-firmware co-design efforts, including FPGA and ASIC verification focused on timing, waveform fidelity, and interface correctness. Develop and maintain automated test procedures and lab automation workflows using modern instrumentation and scripting tools. Perform laboratory measurements, including those involving spin qubits, to evaluate control system fidelity, noise performance, and overall robustness. Analyze test data, support root cause debugging, and provide engineering recommendations to improve hardware performance. Work closely with cross-functional technical teams to address challenges in qubit control, cryogenic electronics reliability, and mixed-signal system behavior. 2+ years of industry, research, or graduate-level experience in mixed-signal electronics, with exposure to RF/microwave measurements, high-speed digital design, cryogenic electronics, or low-noise analog signal paths. Familiarity with electronic measurement techniques, including signal integrity and power integrity evaluation, RF characterization, or low-temperature test setups. Exposure to PCB design or board bring-up workflows; familiarity with hardware-firmware co-design or FPGA/ASIC verification is a plus. Demonstrated troubleshooting and debugging skills across hardware, test equipment, and measurement environments. Experience with automated testing, lab automation tools, or data analysis using scripting languages such as Python or MATLAB. Ability to work collaboratively with teams across physics, computer science, data science, and engineering disciplines.

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