Full-Time

Senior Software Technical Program Manager

GPU Communication Libraries

Posted on 8/15/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$192k - $304.8k/yr

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Category
Business & Strategy (1)
Required Skills
Agile
Risk Management
Requirements
  • 12+ overall years of experience in the software industry with specialization in HPC networking or system software.
  • 6+ years program management experience in a similar or related role.
  • BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
  • Hands on experience with software development for hardware platforms or communication runtime or high performance networking with demonstrated success in delivering these complex products to customers.
  • Proficiency in Agile software development methodologies.
  • Proven experience to creatively resolve technical and resource issues, and think strategically and tactically building consensus to ensure program success
  • Comprehensive understanding of software engineering principles, including experience with widely-adopted configuration management tools and productivity-enhancing tools and automation processes.
  • Exceptional attention to detail and a demonstrated capacity for multitasking, in a dynamic environment with shifting priorities and changing requirements.
  • Strong communication and technical presentation skills and ability to work independently and actively with minimal guidance.
  • Previous experience coordinating activities between HW and SW organizations
Responsibilities
  • Leading status meetings, proactively addressing challenges, customer concerns, and serving as primary POC for building and upholding prioritized release schedules and plans.
  • Strategically plan and partner across Nvidia teams to drive software objectives while maintaining schedules and formulating risk management strategies for risks identified across multiple parallel work streams.
  • Lead existing product development enhancements and software release processes, while collaborating with engineering management to optimize the development workflow and efficiency.
  • Translate customer requirements into actionable landmarks and tasks internally, ensuring customers are continually informed on issue statuses.
  • Drive Virtual reviews and establish continuous feedback loops by communicating benchmarking results and customer insights to product and engineering leadership.
  • Track and report large-scale performance benchmarking across all clusters. Build performance dashboards and reporting processes to monitor KPIs and surface performance trends
  • Collaborate across internal teams and third-party partners across time zones, as necessary, to resolve customer issues and oversee customer releases.
  • Partner with Customer Program Managers addressing software issues, including technical feedback from OEMs, CSPs, and partners.
Desired Qualifications
  • Solid understanding of the Deep Learning Framework ecosystem for Training and Inference
  • Solid understanding of operating systems, datacenter servers, graphics principles and standards.
  • Background with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
  • Knowledge of a modern programming language is desired as well as depth in HPC and ML/DL fundamentals
  • Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Data centers generate 89% of $215.9B FY2026 revenue.
  • $40B acquisitions like OpenAI bolster AI infrastructure dominance.
  • Nemotron models and Drive Thor accelerate agentic AI adoption.

What critics are saying

  • AMD MI450X outperforms Blackwell by 25% per watt in inference.
  • Huawei Ascend 910D blocks $10B China AI sales due to bans.
  • Google TPU v6 cuts hyperscaler GPU dependency by 60%.

What makes NVIDIA unique

  • NVIDIA invented GPU in 1999, pioneering accelerated computing.
  • CUDA platform from 2006 enables GPUs for AI and HPC.
  • Holds 92% discrete GPU market share as of Q1 2025.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
Apr 15th, 2026
Matlantis integrates NVIDIA ALCHEMI Toolkit for 10x faster materials simulation

Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
Apr 14th, 2026
Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.

Yahoo Finance
Apr 14th, 2026
D-Wave CEO claims quantum computers could challenge Nvidia's AI dominance with superior power efficiency

D-Wave Quantum CEO Alan Baratz claims quantum computing poses a threat to Nvidia, citing superior energy efficiency. Speaking at the Semafor World Economy Summit, Baratz said D-Wave's quantum computer uses just 10 kilowatts of power—equivalent to five or 10 GPUs—whilst solving problems that would take GPU systems nearly a million years. D-Wave shares rose nearly 16% on Tuesday, part of a 140% gain over the past year. The company reported $2.75 million in Q4 revenue, missing analyst estimates, but bookings surged 471% to $13.4 million. The $5.3 billion company recently secured a $20 million agreement with Florida Atlantic University and acquired Quantum Circuits for $550 million. However, quantum machines remain specialised tools, unable to run large language models that drive Nvidia's dominance.

Yahoo Finance
Apr 14th, 2026
Vertiv partners with Nvidia on AI data centre infrastructure as analysts raise price target to $300

Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.

Yahoo Finance
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Nvidia and Dell: AI infrastructure stocks to buy ahead of May earnings

Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.

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