Technical Project Manager

How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Job Summary

The Corso Group (COG), which runs the Cognitive Systems Lab at the University of Michigan, is seeking to hire a Technical Project Manager for multiple funded projects in the area of physically-grounded human-machine collaborative systems.

You will serve as a key liaison between technical research teams, academic and industry partners, and project stakeholders to support the successful delivery of research software solutions. This role coordinates and monitors software development activities, primarily in Python, with components in Rust, CUDA, C/C++, Bash/Zsh, ROS2, and Haskell, while tracking timelines, milestones, and federal reporting requirements. The position facilitates collaboration across multidisciplinary teams, advances best practices in the software development lifecycle (including continuous integration and open-source release processes), and supports technical documentation and knowledge sharing.

In partnership with the Project Manager, this role helps ensure projects remain on schedule and aligned with program goals.

Who We Are

Michigan Engineering provides scientific and technological leadership to the people of the world. We seek to improve the quality of life by developing intellectually curious and socially conscious minds, creating collaborative solutions to societal problems, and promoting an inclusive and innovative community of service for the common good.

Responsibilities
* * Lead end-to-end planning, execution, and delivery of technical milestones for COG's research projects, including VIGIL

* Manage project schedules to ensure alignment across diverse teams

* Produce regular technical project deliverables in support of project communication

* Work with the Project Manager to facilitate federal reporting requirements, budget tracking, and stakeholder communications.

* Drive software release workflows: coordinate development, testing, and publication to vortex website and PyPI

* Collaborate with lab PI, research engineers, and students to drive project goals and resolve technical challenges

* Assist in strategic planning for open-source contributions and impactful software dissemination

* Drive continuous improvement in development practices, CI/CD integration, and documentation

* Mentor and guide junior team members on project management best practices

* Collaborate with a team of PhD, MS, and BS students working on software development projects

Required Qualifications
* * Bachelor's degree in computer science, electrical/computer engineering, or a related field

* 3-5 years of experience in application areas like computer vision, medical imaging, and machine learning

* 3-5 years of technical project management experience in computer vision, machine learning, AI, robotics, or related domains.

* Proven experience managing projects in software development environments.

* Working knowledge of software development in Python and modern ML frameworks; ability to understand technical requirements and translate them into actionable plans.

* Proficient in version control with Git

Desired Qualifications
* * Master's or doctoral degree in computer science, electrical/computer engineering, or a related field with 2-3 years of experience

* Experience managing federally sponsored research projects (e.g., NSF, NIH, DARPA, DoD).

* Familiarity with ROS2, CI/CD pipelines (Git Hub Actions, Git Lab CI), and scientific software release cycles.

* Experience supporting cross-functional teams in both academic/research and industry settings.

* Knowledge of hardware-in-the-loop testing, real-time signal processing, and multi-platform deployment (Windows/Linux).

* Experience with leading small teams

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes