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What you'll be doing:
Work hand-in-hand with our software engineering and product teams to build and maintain requirements and roadmap(s) that include both long-term strategic and short-term tactical objectives while considering our capacity to meet those goals.
Define project scope, goals, and deliverables, and develop and maintain detailed project plans.
Work with our NeMo model research teams to define and refine processes for transitioning research outputs to product, and handle all release-related processes (e.g. compliance and security reviews).
Lead definition and refinement of software development processes and technologies to improve our project delivery.
Coordinate activities with internal and external partners including other organizations within NVIDIA.
Champion the ethical usage of data throughout the model building lifecycle, ensuring compliance and responsible development practices.
Assist in building critical metrics, program schedules to measure release health, predictability, and achievements.
What we need to see:
Bachelors in Computer Science, Computer Engineering, or equivalent experience.
8+ years of professional experience in project management in the field of software development, data science, and AI, demonstrating increasing responsibility and leadership, and close partnership with engineering.
Demonstrated technical background–ideally experience as an engineer in a related field.
Knowledge of AI model research and development processes, and experience with related compliance issues (e.g. EU AI Act, training dataset requirements, model cards).
Expert in open source software development, the PyData ecosystem, and related tools (e.g. GitHub).
Experience managing GitHub repositories, as well as experience implementing or improving program management processes for a GitHub-based engineering org.
Able to work on multiple complex & company critical projects effectively with a team of engineers and other teammates in a dynamic and innovative environment.
Excellent written and verbal communication and presentation skills with the ability to tailor your message to different audiences and influence without authority.
Ability to adapt to new challenges and promote delivery of software on time and at the highest quality possible.
Ability to work independently, take-charge, and influence with minimal mentorship.
Ways to stand out from the crowd:
Programming (Python, c++) or data science experience, or other related technical background.
Passion for democratizing access to data science through open-source software, collaborative platforms, and shared model resources.
Demonstrate a keen eye for process improvement.
Be able to demonstrate initiative and determination in getting things done and improving process for the whole team.
Experience partnering with research teams to define technical requirements and drive experimental workflows to successful outcomes.
You will also be eligible for equity and .
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