NVIDIA Logo

NVIDIA

Manager, Software Technical Program Management - Datacenter Systems

Reposted 12 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
192K-305K Annually
Senior level
In-Office
Santa Clara, CA, USA
192K-305K Annually
Senior level
Lead a team of Senior Technical Program Managers in developing NVIDIA's server solutions, overseeing technical interactions and process improvements across engineering teams.
The summary above was generated by AI

NVIDIA data center platforms/solutions, such as DGX, MGX, HGX and PCIe, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink Fabric, NVIDIA InfiniBand and Ethernet networking, NVIDIA ARM CPUs, and a fully optimized NVIDIA AI and HPC software stack. We’re looking for a strong technology leader for running NVIDIA's server solutions TPM team. You will be the cross-section between execution and strategy, leading a team of Senior TPMs driving impactful programs and delivering measurable results across many functions of firmware, software for the deep learning server platforms.

What you’ll be doing: 

  • You will lead team driving technical interactions with NVIDIA's internal NPI and sustaining engineering teams working on software and firmware stack; collaborating with NVIDIA product management and hardware engineering teams.

  • You would help build a strong connection between sustaining engineering and NPI teams; enabling feedback loop. In this role, you will understand new platforms, guide teams on release planning and alignment with hardware schedules.

  • You will be leading process improvement initiatives and help propagate SDLC standard processes across multiple engineering and TPM teams.

  • You will have the opportunity to interact with diverse technical groups, spanning all organizational levels. 

What we need to see: 

  • Bachelor of Science (or equivalent experience) or Master of Science degree in Computer Science, Electrical Engineering, or related field, with a minimum of 8+ overall years of experience developing and leading complex low-level or system software projects and 3+ years of management experience

  • Experience with server software, system software/firmware and compute server architecture.

  • Being thorough and the ability to multitask is important. Experience leading multiple projects with contending priorities.

  • Strong interpersonal, verbal and written communications skills with a capability to achieve objectives under fast paced timelines.

  • Demonstrate strong people management, mentoring skills and consistent track record to build cohesive teams.

  • Previous experience working with sophisticated, multi-node system software for accelerators such as GPUs, DPUs, or FPGAs, in addition to CPUs.

  • Should be able to roll up the sleeves and own a program, if and when needed.

Ways to stand out from the crowd: 

  • Prior Management or Senior Manager experience leading either engineering or program management teams. Deep understanding of system level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO, networking and storage.

  • Deep understanding of software engineering principles, enterprise system architecture and problem solving.

  • Previous experience coordinating activities between HW, Firmware and SW application organizations is a plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 23, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Deep Learning Server Platforms
Nvidia Arm Cpus
Nvidia Ethernet Networking
Nvidia Gpus
Nvidia Infiniband
Nvidia Nvlink Fabric
HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

Similar Jobs

8 Minutes Ago
In-Office
2 Locations
165K-242K Annually
Senior level
165K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
The Product Manager will define and deliver a scalable technology ecosystem for Data Center Operations, improve efficiency through data-driven solutions, and lead cross-functional collaboration to enhance product performance and operational excellence.
Top Skills: AgileAIAnalyticsAPIsBmsCmmsData ModelsDcimJIRA
9 Minutes Ago
In-Office
San Jose, CA, USA
208K-416K Annually
Senior level
208K-416K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Define and optimize next-generation DRAM system architectures, work with cross-functional teams, and engage with customers and executives to drive technology strategy.
Top Skills: Dram SystemsMemory SystemsSilicon Architecture
9 Minutes Ago
In-Office
San Jose, CA, USA
177K-387K Annually
Expert/Leader
177K-387K Annually
Expert/Leader
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop signal integrity architectural strategies for high-speed interfaces, conduct feasibility analyses, create channel models, and translate insights into requirements.
Top Skills: Electrical EngineeringHigh-Speed Interface DesignSignal Integrity ModelingSimulation

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account