Senior Software Engineer

UNIVERSITY OF ARIZONA; Tucson (AZ); On-site; USD 118,000 - 153,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Paid vacation and holidays

Tuition reduction for employee and 1–3

Job summary

The University of Arizona in Tucson seeks an experienced software developer to lead the design and deployment of agentic AI infrastructure for genomic and proteomic data analysis. You will guide multi-agent orchestration, tool-use, model serving, and scalable data workflows, contributing to production-grade software and cloud services.

You will mentor engineers, collaborate with researchers, and help establish engineering standards for robust, observable, and scalable systems across HPC and

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent experience.
• Minimum of 8 years of relevant work experience.

Responsibilities

• Architect and lead development of agentic AI systems for scientific research and data wrangling.
• Translate research problems into production-quality system designs and standards.
• Design and evaluate algorithms, workflows, and data architectures for large-scale genomics and molecular dynamics data.
• Develop command-line tools, APIs, and cloud-based web services.
• Provide mentoring and technical leadership for engineers and students.

Skills

System architecture

Mentor and lead engineers

Technical communication

Open-ended problem solving

Team leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Rust

Linux

HPC

Cloud environments

Job description

Location

Tucson Campus

Address

Tucson, AZ USA

Position Highlights

The Department of Pharmacy Practice and Science trains pharmacist and scientist leaders in patient-centered care, interprofessional practice, and patient and population-oriented research. We are seeking an experienced and high-performing software developer with expertise in software engineering and agentic AI infrastructure, along with enthusiasm for working with a mid-sized academic team to develop optimized software and workflows for genomic and proteomic data analysis. The selected candidate will lead development efforts for both high-performance command-line analysis software and cloud-based web services.

Visa sponsorship is not available for this position.

Outstanding U of A benefits include

• health, dental, and vision insurance plans
• life insurance and disability programs
• paid vacation, sick leave, and holidays
• U of A/ASU/NAU tuition reduction for the employee and qualified family members
• retirement plans
• access to U of A recreation and cultural activities
• and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services.

Duties & Responsibilities

• Architect and lead development of agentic AI systems for scientific research, including multi-agent orchestration, tool-use and retrieval infrastructure, model serving and evaluation pipelines, and the abstractions that let LLM-driven agents reliably perform data wrangling, visualization, and analysis.
• Responsible for translating open-ended research problems into production-quality system designs, selecting and integrating model and framework technologies, and establishing engineering standards that keep these systems robust, observable, reproducible, and maintainable at scale.
• Design, write, and evaluate algorithms, software, workflows, and data management architectures supporting large-scale genomics and molecular dynamics data. Programming languages will include Python for agentic infrastructure, data management, and analysis, and Rust for speed-optimized algorithm implementations.
• Projects will entail development of command line tools, APIs, and cloud-based web services (both public and private cloud).
• Establish and maintain industry-grade software engineering practice across the research group, including testing, continuous integration and deployment, documentation, release management, security and credential handling, and cost and resource monitoring.
• Provide implementation and administration of workflow systems, containerization frameworks, and deployment onto national computational infrastructure such as DOE and NSF-supported HPC and cloud resources.
• Provide technical leadership, mentoring, and training for software engineers, graduate students, and undergraduate researchers, including code review, architectural guidance, and establishing shared engineering conventions.
• Contribute to grant development, strategic planning of the group's technical direction, and representation of the group's software and AI infrastructure work to collaborators, funding agencies, and the broader scientific community.

Knowledge, Skills and Abilities

• Ability to turn open-ended problems into concrete system architectures.
• Ability to communicate effectively in both technical and non-technical contexts.
• Ability to mentor and technically lead junior software engineers.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

Minimum Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent advanced learning attained through professional level experience required.
• Minimum of 8 years of relevant work experience is required.

Preferred Qualifications

• Experience setting software engineering standards across a team.
• Experience designing and operating production-grade cloud services.
• Mastery architecting LLM-based agentic systems, including orchestration, tool use, and evaluation.
• Mastery with Linux, HPC, and cloud environments.

FLSA

Exempt

Full Time/Part Time

Full Time

Number of Hours Worked per Week

40

Job FTE

1.0

Work Calendar

Fiscal

Job Category

Research

Benefits Eligible

Yes - Full Benefits

Rate of Pay

$117,883 - $153,248

Compensation Type

salary at 1.0 full-time equivalency (FTE)

Grade

13

Compensation Guidance

The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity. The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.

Career Stream and Level

PC4

Job Family

Research Engineering

Job Function

Research

Type of criminal background check required

Name-based criminal background check (non-security sensitive)

Number of Vacancies

1

Target Hire Date

Expected End Date

Contact Information for Candidates

Travis Wheeler I [e-mail]

Open Date

8/4/2026

Open Until Filled

Yes

Documents Needed to Apply

Resume, Cover Letter, and One Additional Document

Special Instructions to Applicant

Additional Document Request: Please provide the contact information for three professional references who have direct knowledge of your work experience and performance. References may include current or former supervisors, managers, or professional colleagues. Family members and personal friends should not be listed unless specifically requested.

Notice of Availability of the Annual Security and Fire Safety Report

In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures. Paper copies of the Reports can be obtained by contacting the University Compliance Office at [e-mail].