AI Engineering Program Lead, Enterprise AI Solutions

3 days ago

Shanghai, Shanghai, China NVIDIA Full time
Senior Technical Program Manager - Deep Learning Software

We are seeking an experienced and ambitious Senior Technical Program Manager to lead our Deep Learning Software team. As a key member of our engineering organization, you will work closely with product leaders to develop and execute large-scale programs that drive the creation and publication of software for training and inference applications using various types of neural networks.

Responsibilities:

  • Process Development: Define and drive processes within the fast-paced field of machine learning and deep learning, developing critical metrics and program schedules to measure release health, predictability, and achievements.
  • Failure Analysis and Improvement: Identify failures, lead retrospective analysis, and help develop improvement action plans.
  • Leadership and Collaboration: 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.
  • Risk Management: 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.
  • Communication: Regularly communicate program status and key issues to senior management at NVIDIA.
  • Product Understanding: Build a high-level understanding of products, projects, and goals, highlighting domain-specific and new market application possibilities.
  • Cross-Functional Coordination: Coordinate efforts between development teams, product managers, and solution architects.
  • Quality Assurance: Work with development teams on test plans, execution, reviews, failure analysis, and assessing overall quality and risk.
  • Customer Partnerships: Partner with customer PMs on software issues, including technical feedback from OEMs and CSPs.
  • Key Performance Indicators (KPIs): Develop key KPIs to track execution and deploy process improvements to improve efficiency.

Requirements:

  • Technical Background: 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.
  • Program Management Experience: 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.
  • Communication and Presentation Skills: Strong communication and effective presentation skills, with a proven track record articulating a value proposition to technical and non-technical audiences.
  • Education and Experience: Master's degree in Engineering, Computer Science, or similar field desired (or equivalent experience), with 5+ years of programming experience using modern programming languages.
  • Software Engineering Principles: Experience and good understanding of software engineering principles and quality requirements in enterprise systems environments.
  • Problem-Solving and Leadership: Ability to multitask, quickly switch context, and be thorough, with experience influencing decisions and leading teams in a matrix environment.
  • Enthusiasm and Passion: Enthusiastic, proactive, responsive, and passionate about finding opportunities for productive change and improvement in software engineering and release management.
  • Strategic Thinking: Ability to think strategically and tactically, building consensus to make programs successful, with strong problem-solving skills and consistently successful implementation of systematic solutions.

Preferred Qualifications:

  • Machine Learning and Deep Learning: Technical background with machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, TensorFlow, or PyTorch.
  • Software Engineering and Architecture: First-hand experience with software engineering and enterprise system architecture at scale.
  • Productization and Coordination: Previous experience with productizing enterprise server systems and coordinating activities between HW/SW organizations.
  • Open Source and 3rd Party SW Suites: Experience with Open Source (Python, TensorFlow, notebooks) and 3rd Party Open Source SW suites such as Black Duck or Palamida.
  • Agile Methodologies: Previous experiences with agile methodologies (Scrum, SAFE, Less, Business agility).
  • Standards and Certification: Previous experiences in IS026262 and ASPICE Standards.
  • Innovation and Customer Focus: Natural inclination to improve what we build and how we build it, driven to constantly improve the product from the customer experience side.

About NVIDIA:

NVIDIA is widely considered 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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