Computer Scientist – ASIC Digital Design – Job Order 3067
near Seven Corners, VA 22044
US citizens only
Compensation: $100K to $150K
Relocation allowance is available
Remote work during and maybe after COVID
My client, a technology research organization, is looking for highly talented, motivated researchers to lead and impact state of the art research and development in the area of reconfigurable computing. This position will lead research in algorithm development for custom internal tools which target FPGA and ASIC front end design. These tools solve challenging problems in hardware security, high level abstraction for hardware design, and machine learning acceleration for critical systems. Realize effectiveness of solutions on physical FPGAs and custom ASIC fabrication. Lead research, propose major innovations, collaborate with peers within the group and across the company, publish results in top tier conferences, and contribute to or lead proposals.
This group is a leader in disrupting and advancing the fields of front-end ASIC and FPGA design, computer architecture, and EDA tools. As an applied research lab, our work spans the creation and maturation of ideas from academic conception to applied research prototypes.
Their staff can be found:
Researching and developing toolsets to map AI algorithms directly to hardware,
Optimizing full scale testing of billion transistor FPGAs to minimal runtime,
Performing experiments on the International Space Station,
Utilizing the MOSIS service to fabricate novel computer architectures.
Our success is based on investing in our staff through a culture centered on:
Learning and idea generation,
Transparent and constructive feedback, and
Continual growth through contributing to, creating, and leading a research agenda.
We are looking for highly talented, motivated developers to perform research and development in the area of CAD tools for ASIC and FPGA hardware. This position will collaborate with a high caliber team to create the world’s first customized accelerator for native Fully Homomorphic Encryption (FHE). Research and develop custom EDA tools to perform design space exploration of FHE architectures over performance parameters. Be an active member of a fast-paced ASIC Development team supporting the full life cycle from functional architecture definition to physical implementation, verification, and tape-out. This position will also support efforts in design space exploration for efficient resource utilization and implementation of ASIC and FPGA designs, as well as, evaluation in terms of performance, power, and useability metrics. This position will lead research, propose major innovations, collaborate with peers within the group and across the organization, publish results in top tier conferences, and contribute to or lead proposals.
PhD or MS and equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science required.
Established publication record in computer architecture, ASIC design, Fully Homomorphic Encryption hardware, or hardware security.
3-5 years of experience in Digital Design targeting 22nm or smaller lithography nodes.
Expert level programming in Synthesizable C, VHDL, or Verilog.
Experience interfacing and floor planning with bus (PCIe gen 4/5) memory (DDR3/4), and Single/Differential-ended I/O’s in System on Chip designs.
Expert level user of standard digital design tools such as Cadence Stratus, Genus, and Innovus or Synopsys Synphony, Design Compiler, and IC compiler.
Preferred Job Qualifications:
Experience targeting 12nm or smaller fabrication nodes a significant plus.
Experience with clock tree insertion, scan-chain insertion, and back end layout a plus.
Experience with Cadence JasperGold or Synopsys Formality a plus.
Ability to handle export-controlled data. Per U.S. government regulations, eligibility to handle export-controlled data requires U.S. Citizenship or U.S. Permanent Residency.
Minimum Education: Master’s degree, Combined experience/education as substitute for minimum education Minimum Experience: 3 years Minimum Field of Expertise: Knowledge of research processes and computer science.
To apply for this job email your details to email@example.com