Posted:
10/9/2024, 8:14:45 AM
Location(s):
California, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Product
Workplace Type:
Remote
NVIDIA’s deep learning platforms have made major impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We are seeking an experienced and talented technical program manager for NVIDIA's DGX Cloud. We need passionate, hard-working, and creative people to help us deliver value to DGX Cloud customers.
What you'll be doing:
As a DGX Cloud technical program manager, you will be the connective tissue between global cloud service providers and NVIDIA engineering teams, creating awesome cloud infrastructure and user experiences for DGX Cloud customers! You will gather requirements, drive prioritization, schedules, and planning for all phases of the product life cycle. You will manage risks and resolve issues that affect scope, schedule, and quality and ensure the quality standards of the programs are achieved.
Develop and manage milestones and schedules for the many moving parts that need to come together.
Manage and improve existing product development; collaborate with engineering management to improve the development workflow and engineering efficiency. You will have the opportunity to interact with diverse technical groups, spanning all organizational levels.
Partner with the engineering team and product management to define project roadmaps, schedules, and milestones.
Identify and resolve/mitigate risks and resolve issues that affect all aspects of scope, schedule, and quality.
Regularly communicate program status and key issues to management and across teams within the organization.
What we need to see:
10+ years of Program/Project Management experience driving the planning and execution of large programs, software engineering projects in a matrixed environment
Enthusiastic, energetic, responsive, and passionate about finding opportunities for process improvement!
Experience in successfully leading global projects across time zones.
Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team on how to use these tools and execute in an Agile/scrum manner.
Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource conflicts.
Possess excellent communications and technical presentation skills.
MS EE or CS degree, or equivalent experience
Ways to stand out from the crowd:
Highly motivated with strong communication skills, with proven ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.
Working knowledge of cloud technologies is a plus.
Experience with new product introduction and program managing research teams.
Experience with productivity tools and process automation is big plus.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a hardworking individual who enjoys autonomy and shares our passion for technology, we want to hear from you. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.
The base salary range is 156,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality