Job Description:

• As a team leader, works collaboratively with colleagues to define architecture specifications, simulate, evaluate, and realize in hardware.
• Leads the team on the creation of architecture models (software and in HDL) to enable evaluation for performance and hardware implementation metrics such as size, power, speed.
• Works with team, driving software and hardware integration, to enable large complex system modeling and research evaluation.
• Develop and cultivate ongoing relationships with the team for an effective large-scale system and graph application simulation.
• Manages the software infrastructure project â“ git, software and hardware development tools -- to enable project team research to succeed.
• Contributes to reporting â“ data, graphics, slides, presentation, reports â“ for the funding organization.
• Leads the cloud software infrastructure project â“ AWS, EC2 â“ and hardware simulation - FireSIM, SST, to enable project team research to succeed.
• Facilitates collaborations across the teams in the UpDown Computer project.
• Improves financial, personnel, planning, compliance and other administrative aspects of research project. Collaborates with other researchers on long-range plans for research projects. Leads, investigates, modifies and applies new procedures, techniques or applications of technology. Establishes goals and operating procedures, practices, and guidelines.
• Trains and mentors graduate students and postdoc personnel.
• Provides expertise to researchers and research support staff. Oversees activities related to data collection and analysis.
• Performs other related work as needed.

Preferred Qualifications

Education:

• MS in Computer Science, Computer Engineering, Electrical Engineering or related field.

Experience:

• Experience in Large complex software and/or hardware systems.
• Experience in computer architecture or systems design, implementation, and evaluation.
• Experience in Computer architecture research, Systems software research.
• Experience in Performance programming.

Technical Skills or Knowledge:

• Software tools such as git, llvm, testing.
• Hardware tools such as Verilog/vhdl, synopsys/cadence, OpenRoad.
• Graph algorithms and analytics.
• Parallel computation.
• Systems performance analysis.

Preferred Competencies

• Knowledge of complex software design, implementation, test, version control, and documentation.
• Knowledge of complex hardware design, implementation, test, version control, and documentation.
• Experience in Parallel Computing; Cloud application development (using AWS and EC2).

Application Documents

• Resume (required)
• Cover Letter (required)
• List of references (required)

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.

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