This is a unique opportunity for an optoelectronic IC design engineer to work in a leading industrial research environment. They will work with world class engineers and researchers with the opportunity to invent solutions that revolutionize the future cloud infrastructure. This stimulating environment is the ideal place to grow their practical skills and challenge their ingenuity.
This position is offered as part of the Intelligent Optical systems Design at Microsoft Research Cambridge Residency program:
The ideal candidate will have a can-do and open minded attitude and be prepared to work within a rapidly changing research environment, while simultaneously taking a rigorous and systematic approach to design and debug with high attention to detail. They will be able to envisage, architect, explore multiple designs, and then take a hands-on approach to creating research prototypes. They will be able to work with researchers both in analog IC design and other fields (such as optics, opt-electronics, and computer science), feeding back results and experience as well as learning about, considering, and understanding the additional constraints to find good solutions to difficult problems.
Qualifications Ph. D. in Electrical Engineering with focus on semiconductor physics and optoelectronic IC design
Strong foundational knowledge of analog integrated circuit design concepts, simulation, and verification techniques
Any skills or experience in the follow areas will be considered a plus:
Detailed analogue, digital, and high-frequency design
They will have experience in multiple aspects of electronics and bringing them together with photonics to create complete systems - low noise analogue, analogue signal processing, data converters, radio, microprocessors and FPGAs etc
They will be comfortable with all aspects from paper study, block level, mathematical analysis, device evaluation, to integrated circuit realization
They will have experience on digital signal integrity or microwave circuits into GHz frequency ranges and understand transmission lines and parasitic non-idealities
Device and circuit simulation
Use of tools such as Cadence, SPICE or Ansys to verify and optimise designs before realization
Competence in behavioral modeling (e.g. Verilog, VerilogAMS, System Verilog), high-level languages (e.g., C, C++, Matlab) and scripting languages (e.g Python)
They will have overseen the schematic entry and board layout process or directly used such tools
They will be willing to learn how to use the tools and be directly involved in these aspects
They will be experienced in hands on debugging, using a wide arsenal of test equipment, and hand soldering to produce functioning and optimized prototypes
Additional desired skills The successful applicant will have some additional related skills and a passion to learn others as necessary, such as:• Experience of optoelectronic circuit design • Experience with MPW runs or custom runs of IC design realization • Signal processing- mixed signal, digital, sampled systems, theoretical analogue analysis • Microcontroller firmware for embedded applications • Firmware for FPGA/CPLD • Higher level software for automation, simulation, result analysis or demonstration (e.g. Python) • PCB assembly and prototype construction
About Microsoft Research Ltd
Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research.
The Cloud Infrastructure team is engaged in several cutting-edge research programs to revolutionise storage, computing, and networking at cloud scale using advanced optical technologies. To this end we have assembled an interdisciplinary team including computer scientists, machine learning experts, optical scientists, industrial designers, electronic engineers, and mechanical engineers. To be successful in such a team requires an openness and aptitude to learn some of the skills and vocabulary of the other disciplines.
The global scale of the Microsoft cloud provides our team with opportunities to transform the technology underpinning modern society. For example, we are using holographic optical technology to change the way the cloud can store and rapidly access data; we are rethinking computation to improve throughput and reduce energy consumption; and we are working on next-generation data networks with higher bandwidth and greater efficiency. All these projects involve the co-design of software and hardware to achieve the best possible overall solution.