Senior Technical Program Manager
1 week ago
We are seeking a highly skilled and experienced Technical Program Manager to join our team at NVIDIA. As a key member of our engineering and product leadership team, you will play a critical role in planning and executing large-scale programs to develop and publish software for training and inference applications using various types of neural networks.
Key Responsibilities- Program Development and Coordination: Drive the development process and coordinate work between multiple organizations, customers, and researchers.
- Customer Enablement: Enable NVIDIA's customers to employ industry-leading AI and ML in their products, spanning almost every possible industry.
- Process Definition and Improvement: Define and drive process within the fast-paced field of machine learning and deep learning.
- Program Scheduling and Metrics: Develop critical metrics, program schedules to measure release health, predictability, and achievements.
- Risk Management and Analysis: Identify failures, lead retrospective analysis, and help to develop improvement action plans.
- Leadership and Collaboration: Lead and be viewed as a leader with the right balance of both technical and leadership skills. Work closely with engineers on architectural discussions and challenge the design choices that they make.
- Process Standardization and Improvement: Drive standard processes for Software Engineering and persuade multiple business units of the advantages of each area of improvement.
- Risk Anticipation and Mitigation: Anticipate risks and develop risk management solutions as appropriate.
- Program Status Communication: Regularly communicate program status and key issues to senior management at NVIDIA.
- Product and Project Understanding: Build high-level understanding of products, projects, and goals and highlight domain-specific / new market application possibilities.
- Team Coordination and Collaboration: Coordinate efforts between development teams, product managers, and solution architects.
- Test Planning and Execution: Work with development teams on test plans, execution, reviews, failure analysis, and assessing overall quality and risk.
- Customer Support and Feedback: Work with customer PMs on software issues including technical feedback from OEMs and CSPs.
- Key Performance Indicator Development: Develop key KPIs to track execution and deploy process improvements to improve efficiency.
- Technical Background and Experience: Strong technical background with previous work experience as a software engineer, data scientist, or a 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 role.
- Global Project Experience: 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 to articulate 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 12+ yrs of industry experience.
- Programming Experience: 5+ years programming experience using any modern programming language.
- Software Engineering Principles and Quality Requirements: Experience and good understanding of software engineering principles and quality requirements in enterprise systems environments.
- Problem-Solving and Leadership Skills: Ability to multitask, quickly switch context, and be thorough. Experience influencing decisions and leading teams in a matrix environment.
- Enthusiasm and Proactivity: Enthusiastic, proactive, responsive, and passionate about finding opportunities for productive change and improvement in software engineering and release management.
- Strategic and Tactical Thinking: Ability to think strategically and tactically and to build consensus to make programs successful.
- Problem-Solving and Implementation Skills: Strong problem-solving skills, consistently successful implementing systematic solutions.
- Technical Background in AI and ML: 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 Enterprise System Architecture: First-hand experience with software engineering and enterprise system architecture at scale.
- Productizing Enterprise Server Systems: Previous experience with productizing enterprise server system and coordinating activities between HW / SW organization.
- Open Source Software and 3rd Party Open Source SW Suites: Experience with Open Source (Python, Tensorflow, notebooks) and 3rd Party Open Source SW suites such as Black Duck or Palamida.
- Process Improvement and Efficiency: Background in driving process and measuring for efficiency and effectiveness.
- Agile Methodologies: Previous experience with agile methodologies (Scrum, Safe, Less, Business agility).
- Industry Standards: Previous experiences in IS026262 and ASPICE Standards.
NVIDIA is the world leader in accelerated computing. We pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.
Benefits- Competitive Base Salary Range: $188,000 - $356,500 USD.
- Eligibility for Equity and Benefits.
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