Senior Technical Program Manager for Deep Learning Software

1 week ago

Shanghai, Shanghai, China NVIDIA Full time
Job Summary

We are seeking a highly skilled Technical Program Manager to lead our Deep Learning Software initiatives. As a key member of our team, you will be responsible for planning and executing large-scale programs to develop and publish software for training and inference applications using various types of neural networks.

Key Responsibilities
  • Define and drive process within the fast-paced field of machine learning and deep learning, developing critical metrics and program schedules to measure release health, predictability, and achievements.
  • Identify failures, lead retrospective analysis, and help develop improvement action plans.
  • Lead and be viewed as a leader with the right balance of technical and leadership skills, working closely with engineers on architectural discussions and challenging design choices.
  • Drive standard processes for Software Engineering and persuade multiple business units of the advantages of each area of improvement, anticipating risks and developing risk management solutions as appropriate.
  • Regularly communicate program status and key issues to senior management at NVIDIA.
  • Build a high-level understanding of products, projects, and goals, highlighting domain-specific and new market application possibilities.
  • Coordinate efforts between development teams, product managers, and solution architects.
  • Work with development teams on test plans, execution, reviews, failure analysis, and assessing overall quality and risk.
  • Partner with customer PMs on software issues, including technical feedback from OEMs and CSPs.
  • Develop key KPIs to track execution and deploy process improvements to improve efficiency.
Requirements
  • Strong technical background, with previous work experience as a software engineer, data scientist, or software QA engineer with hands-on experience developing and testing code.
  • Relevant work experience in technical fast-paced program, project, or product management roles, with proven experience leading global projects and readiness to work flexibly in multiple time zones.
  • Strong communication and effective presentation skills, with a proven track record articulating a value proposition to technical and non-technical audiences.
  • Master's degree in Engineering, Computer Science, or a similar field desired (or equivalent experience).
  • 5+ years of programming experience using any modern programming language.
  • Experience and good understanding of software engineering principles and quality requirements in enterprise systems environments.
  • Ability to multitask, quickly switch context, and be thorough, with experience influencing decisions and leading teams in a matrix environment.
  • Enthusiastic, proactive, responsive, and passionate about finding opportunities for productive change and improvement in software engineering and release management.
  • Ability to think strategically and tactically, building consensus to make programs successful, with strong problem-solving skills and a consistent track record of implementing systematic solutions.
Preferred Qualifications
  • Technical background with machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, Tensorflow, or Pytorch.
  • First-hand experience with software engineering and enterprise system architecture at scale.
  • Previous experience with productizing enterprise server systems and coordinating activities between HW/SW organizations.
  • Experience with Open Source (Python, Tensorflow, notebooks) and 3rd Party Open Source SW suites such as Black Duck or Palamida.
  • Background in driving process and measuring for efficiency and effectiveness, with previous experience with agile methodologies (Scrum, Safe, Less, Business agility).
  • Previous experiences in IS026262 and ASPICE Standards.
  • Natural inclination to improve what we build and how we build it.
  • Driven to constantly improve the product from the customer experience side, replicating and testing customer scenarios to spot-check our products before actually shipping them to QA or our customers.
About NVIDIA

NVIDIA is widely considered to be one of the technology world's most desirable employers, constantly striving to redefine the limits of technology. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and passionate about developing AI/ML solutions to solve some of humanity's greatest problems, we want to hear from you.

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