Software Enginner (SDL3)

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Date Posted:

02/27/2026 Req ID:

47038 Faculty/Division:

Faculty of Arts & Science Department:

Acceleration Consortium Campus: St. George (Downtown Toronto) Position Number:

00059217 Existing Vacancy:

Yes

Description:

About us The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the infield of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.

TheAcceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision.

Your opportunity The AC is developing seven advanced SDLs. These include:

Inorganic solid-state materials

Organic small molecules for advanced materials

Drug discovery with chemical probes

Polymers for materials science and biological applications

Formulations for pharmaceuticals, consumer products, and coatings

Biocompatibility (organ-on-a-chip)

Synthetic scale-up of materials and molecules

Reporting to the Executive Director, Acceleration Consortium and under the close guidance of the (Senior) Staff Scientists, the Software Engineer in the AC’s Medicinal Chemistry self-driving lab will play a pivotal role in designing, implementing and deploying robust core software systems critical to the operation of a novel autonomous drug discovery and optimization platform. As part of a multi‑disciplinary team, you will facilitate the integration of the software needed for seamless instrument and data management in the context of a world class AI‑lead and industry‑driven research environment. Ultimately, your work will help to de‑risk, democratize and demonstrate the value of the self‑driving lab approach in streamlining and accelerating both the fields of drug discovery and materials science as a whole.

Your responsibilities will include

Analyzing, recommending, and designing highly complex software architecture

Designing, testing, and modifying programming code

Evaluating programming code to ensure it has validity, compatibility, and that it meets appropriate standards

Developing technical application implementation plans

Analyzing and writing program scripts to extract, reformat and analyze data

Analyzing, recommending and designing technical solutions for highly complex IT problems

Leading and planning IT projects

Serving as a resource on specific issues to a group of specialists

Essential Qualifications

Bachelor's Degree in Computer Science, Software Engineering or a related field or an acceptable combination of education and experience. Master's degree preferred.

Minimum five years of recent and relevant hands‑on experience in full‑stack software development, particularly in scientific or high‑tech environments with significant research and development.

Proficiency in Python and their scientific packages (e.g., NumPy, SciPy, Pandas)

Experience with workflow management tools such as Airflow and Prefect.

Experience with building production‑ready frontend applications using React, Angular or Vue.js (or similar)

Familiarity with containerization (Docker) and orchestration systems (Kubernetes).

Experience with working in DevSecOps teams

Strong problem‑solving skills and the ability to work in a fast‑paced, research‑driven environment.

Excellent communication skills, with the ability to collaborate effectively with cross‑functional teams.

Assets (Nonessential)

Knowledge of AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch) and their application in scientific experimentation.

Experience in developing and managing scalable data infrastructures (e.g., databases, data pipelines)

Familiarity with dashboard development and interactive plotting libraries (e.g., plotly, d3.js)

Proficiency in Linux systems administration, including command‑line tools, shell scripting, and system configuration.

Good working knowledge with AWS

A track record of contributing to open‑source projects

Familiarity with materials informatics, cheminformatics, or similar domains.

Prior experience working in multidisciplinary teams involving academia and industry.

To be successful in this role you will be

Accountable

Insightful

Team player

Closing Date:

03/13/2026, 11:59PM ET Employee Group:

USW Appointment Type : Grant - Continuing Schedule:

Full-Time Pay Scale Group & Hiring Zone: USW Pay Band 16 -- $103,367. with an annual step progression to a maximum of $132,188. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol. Job Category:

Information Technology (IT) Recruiter:

Ann Yang

Lived Experience Statement Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.

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