NVIDIA Corporation

Technical Program Manager - Enterprise Software Release and Execution

NVIDIA Corporation$168K — $322K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in technical program management or related roles
  • 5+ years of engineering experience in machine learning and deep learning
  • Bachelor's degree in Computer Science, Electrical Engineering, or related technical field
  • Deep hands-on experience with DL frameworks like TensorFlow and PyTorch
  • Proven experience leading software product programs using AI technologies
  • Strong cross-functional teamwork abilities including with non-technical members
  • Excellent communication skills with ability to multitask effectively

Responsibilities

  • Manage technical alignment and product delivery with NVIDIA partners
  • Drive release planning while collaborating with globally distributed Engineering and Product teams
  • Ensure consistency and coherence in software specifications and quality standards
  • Provide constructive feedback on project processes and performance
  • Manage product feedback from both customers and internal stakeholders
  • Foster a positive organizational environment and morale
  • Lead initiatives in infrastructure, full-stack and AI/ML solutions with inclusive team culture
  • Identify and implement opportunities for process improvements and optimizations

Benefits

  • Comprehensive benefits package
  • Focus on diversity and inclusion
  • Equity opportunities
  • Supportive and innovative work environment
  • Career growth and professional development opportunities
Full Job Description
We are looking for a strong and technical program manager to drive and deliver the Enterprise software releases. This position will give you the best opportunity to showcase your strong program management experience and knowledge of Generative AI innovations, Large Language Models (LLMs) and traditional machine learning (ML). Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For over multiple decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is already on its way to transform every industry. You will get the opportunity to directly work with NVIDIA's industry leading software stack partners to complete and deliver groundbreaking product roadmap across various enterprise software. You will collaborate closely with teams, including engineering and product management for execution and alignment with organizational objectives. In partnership with such diverse partners, you will be responsible for developing robust processes that ensure the successful execution and timely delivering of the software products. Inspect and assess projects' health; provide feedback for corrections needed or help raise up issues for quick resolution. The ideal candidate will be comfortable working in a fast-paced environment with changing requirements and have experience in large & complex program management. Excellent communication skills and ability to work independently are critical. Huge positive if you already have had experiences managing technical alignment or engineering partnership across other companies. What you'll be doing: • As a Technical Program Manager, you will be directly managing technical alignment and product delivery with various NVIDIA partners • Internally, you will be driving the release planning and collaborating with the Engineering and Product teams that are globally distributed across time zones. • You will be responsible for the overall consistency and coherence of specifications, setting quality standards and drive quality output of the software releases. • Speak objectively and constructively about what is working well and what needs to improve as we develop new processes. • Ensure that systems are in place to manage product feedback from customers as well as internal stakeholders. • Promote a positive environment across the organization by modeling behavior that promotes good morale. • Know the latest developments in the state of the art in relevant technology and computing ecosystems. • Lead a mix of infrastructure, full-stack, and AI/ML solutions. Inspire the team with a sound technical vision and a vitality to execute by creating an inclusive team culture. • Continuous Improvement: Find opportunities for process improvements and optimizations. Collaborate to implement standard methodologies, drive efficiency gains, and enhance performance. What we need to see: • 8+ years proven track record in technical program management or related roles. • 5+ years of this experience should be engineering (coding) and machine learning and deep learning software architecture and frameworks. • Bachelor's degree in Computer Science, Electrical Engineering or other technical field (or equivalent experience). • Deep hands-on experience with DL Frameworks (e.g. TensorFlow, PyTorch, etc.). Up to speed on generative-AI advancements. • Experience leading programs building software products using AI technologies. • Ability to cultivate teamwork among teams composed of both technical and non-technical members. • Strong written and oral communications skills, independent and able to multitask effectively with minimal day-to-day direction. • Proven track record to drive alignment across external and internal stakeholders and deliver complex products to customers. • Confirmed experience to creatively resolve issues and resource conflicts. Ability to think strategically and tactically and to build consensus to make programs successful. • Detailed knowledge of software engineering principles. Experience with industry standard configuration management tools. Experience with productivity tools and process automation. • You should be detail oriented with shown ability to multitask, in a dynamic environment with shifting priorities and changing requirements. • Excellent knowledge of theory and practice of Generative AI and Large Language Models and specifically with NVIDIA GPUs and software libraries. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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