Job Information

University of Utah Principal Software Engineer in Salt Lake City, Utah

Open Date

Requisition Number PRN26931B

Job Title Principal Software Engineer

Working Title Principal Software Engineer

Job Grade H

FLSA Code Computer Employee

Patient Sensitive Job Code? No

Standard Hours per Week 40

Full Time or Part Time? Full Time

Shift Day

Work Schedule Summary

M-F 9am to 5pm

VP Area U of U Health - Academics

Department 00868 - Psychiatry - Research

Location Campus

City Salt Lake City, UT

Type of Recruitment External Posting

Pay Rate Range $110,000 to $130,000

Close Date

Open Until Filled No

Job Summary

The de Lacy laboratory at the Huntsman Mental Health Institute/Department of Psychiatry at the University of Utah is lookin for a full time Software Engineer. The laboratory conducts computational science and artificial intelligence research and collaborates widely across the university and country. Our work in population mental health consists primarily of greenfield development of machine learning/AI tools for predictive analytics in big data of multiple types ( MRI , genomic, behavioral, environmental) and performing analysis. We conduct both large-scale projects funded by extramural grants (e.g. NIH ) and smaller scale pilot and development studies. The laboratory’s compute infrastructure consists of multiple multi- GPU nodes housed a the Center for High Performance Computing ( DHPC ) and smaller form factor workstations in the laboratory.

The Position will consist of lead development/operations responsibility focused on developing new code, optimizing existing code to run at CHPC , building and maintaining network systems and developing new software tools. Likely the split of time spent will be 70% development and 30% systems administration. There is ample scope for the Engineer to pursue additional learning and innovate their own new ideas.

The de Lacy laboratory is committed to providing a supportive, inclusive and respectful software development environment to foster excellent work, personal professional growth for all team members, diverse perspectives and a collaborative spirit. We offer a flexible work environment.

Responsibilities

1. Systems administration from the operation system up of multi-node, multi- GPU computational infrastructure at CHPC .

2. Establishing and maintaining connectivity and software infrastructure consistency between the laboratory and CHPC , installing and updating software.

3. Ability to manage multiple CentOS, Ubuntu servers and VPNs in geographically dispersed environment.

4. Greenfield development of machine learning code using Python and Tensorflow/Pytorch and their libraries

5. Code optimization to maximize compute efficiency via parallel computing and other strategies.

6. Team Player with “can do” attitude who can function independently and manage more junior developers with kindness and positive spirit.

7. Ability to deliver projects on time.

8. Ability to interact with colleagues and collaborators that are geographically dispersed via video, voice, messaging and email.

9. Positive communication abilities with colleagues and collaborators across the University of Utah and other universities.

10. Lifelong learning posture that welcomes learning new languages, tools and strategies to address cutting edge problem in machine learning and AI.

This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Work Environment and Level of Frequency typically required

Nearly Continuously: Office environment.

Physical Requirements and Level of Frequency that may be required

Nearly Continuously: Sitting, hearing, listening, talking.

Often: Repetitive hand motion (such as typing), walking.

Seldom: Bending, reaching overhead.

Minimum Qualifications

Requires a bachelor’s degree in a related area or equivalency and 8 years of experience in the field or in a related area.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

Practical experience with greenfield development in deep learning predictive analytics and other types of advanced machine learning is desirable.

Individuals from historical underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply.

Type Benefited Staff

Special Instructions Summary

Additional Information

The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.

Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action:

Director/ Title IX Coordinator

Office of Equal Opportunity and Affirmative Action ( OEO /AA)

135 Park Building

Salt Lake City, UT 84112

801-581-8365

oeo@utah.edu

Online reports may be submitted at oeo.utah.edu

For more information: https://www.utah.edu/nondiscrimination/

To inquire about this posting, email: employment@utah.edu (%20employment@utah.edu) or call 801-581-2300.

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.