Quantum Systems Digital Design Engineer II

Required 

• Master's Degree in Physics, Electrical/Computer Engineering, or related field AND 1+ years experience in industry or in a research and development environment 

  • OR Bachelor's Degree in Physics, Electrical/Computer Engineering, or related field AND 2+ years experience in industry or in a research and development environment

  • OR equivalent experience. 

• This position requires verification of citizenship or other protected status to meet legal requirements of the role. If the role requires US citizenship, as indicated in the job description, a valid US passport must be provided to verify your citizenship. If the role requires US Person status, as indicated in the job description, US citizens must provide a valid US passport for verification while lawful permanent residents, refugees, and asylees may complete this verification using green cards or other status documents, as applicable.

Additional or Preferred Qualifications 

• 3+ years building production FPGA designs in Verilog/SystemVerilog (or VHDL), including synthesis, P&R, and static timing analysis on Xilinx/AMD (UltraScale+/Versal/RFSoC) and/or Intel platforms. 

• Proven delivery of low‑latency, streaming datapaths (DSP, filtering, classification, or decoder‑like pipelines) with tight timing closure at high clocks. 

• Hands‑on with high‑speed I/O and protocols: AXI4/AXIS, JESD204(B/C), Aurora, multi‑gig SERDES; competent in link bring‑up, eye margins, and error budget analysis. 

• Proficiency in clocking/CDC fundamentals and experience with multi‑clock, multi‑reset systems. 

• Verification skills (simulation, assertions, testbenches; UVM a plus) and lab debug using ILA/ChipScope, scopes, LA, and RF test gear. 

• Familiarity with RFSoC architectures (data converters, JESD links) and/or heterogeneous co‑processing with CPUs/GPUs. 

• Comfort working across HW/SW boundaries (DMA perf tuning, drivers, gRPC/REST control surfaces, telemetry/observability) and with scientific instrumentation. 

• Experience accelerating decoders (e.g., graph/union‑find/MWPM‑style or LDPC‑class techniques), streaming inference/classification, or similar real‑time algorithms. 

• Exposure to HLS (C/C++/HLS kernels) and mixed HLS/RTL systems; formal verification. 

• Background in signal processing/control or quantum control/readout concepts (nice to have; curiosity and fast learning are more important). 

• Experience with Windows & Linux, VS Code, Git/GitHub, Azure DevOps CI/CD; scripted builds (Tcl/Python); design docs + code reviews + comprehensive testing are part of our quality bar. 

Other Requirements 

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. 

• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable. 

• Ability to work in an "AI first" environment using modern AI tools to accelerate discovery through hardware development. 

• Familiarity with designing and building AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval.