Deep Learning Software is looking for a Technical Program Manager to lead initiatives and programs focused on Deep Learning Training/Inference Libraries, with the goal of supporting NVIDIA's top AI Inference researchers and engineers in driving the future of deep learning. This position requires managing engineering programs using industry-leading processes to navigate an active and evolving roadmap. The TPM will work alongside senior management and coordinate efforts with partners across the company to ensure alignment and exceptional execution. They will engage closely with our software, hardware, and tooling teams to foster strong engineering collaborations. Furthermore, they will develop and standardize planning, reporting, and execution practices and metrics to achieve ambitious objectives in a rapidly changing environment.
What You'll Be Doing:
Engage with cross-company teams (hardware/software engineering, product, QA, compliance) and drive alignment on release scope, milestones, risk management, and dependencies.
Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues.
Guide engineering teams in the use of agile methodologies.
Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions.
Define and implement standard processes for open-source contribution and release management within the AI/ML ecosystem.
Report on overall program status, providing insights and recommendations to senior management.
Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.
Collaborate with hardware, software, and model program managers and engineering teams to implement inference libraries on existing and new hardware.
What We Need To See:
Postgraduate degree in Computer Science, Artificial Intelligence or equivalent experience.
10+ years program management experience including proven track record leading global projects, adaptable to multiple time zones in fast-paced software development environments.
Ability to think strategically and tactically and to build consensus to make programs successful by engaging and moderating successful engagements with engineering and product teams.
Proven experience Implementing and streamlining GitHub workflows (branching, tagging, versioning, CI/CD integration) and extensive hands-on experience with At Scale Agile tools, reporting, GitHub and process in support of this role is required.
Excellent communication, technical presentation, and attention to detail skills with a shown ability to multitask in a dynamic environment with shifting priorities and changing requirements.
Ways To Stand Out From The Crowd:
Strong background in: Computer Science, Machine Learning, Deep Learning, Open-Source Software, Software Infrastructure and GPU Technology.
Prior experience in software-hardware bring-up, production application software development, release management with a consistent track record of driving process improvements and measuring efficiency.
Exposure to NVIDIA GPU programming and software stack (CUDA Toolkit, cuDNN, TensorRT, NCCL, etc.).
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearningTop Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
