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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, GPU Accelerated Data Analytics - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Experienced - **Salary:** $224,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, C++ (Programming Language), Nvidia CUDA, Computer Programming, Databases, Computer Engineering, Data Centers, Data Cleansing, Microprocessors, Web Servers, Performance Tuning, Software Engineering, SQL Databases, Transcoding, Graphics Processing Unit (GPU), Enterprise Software Applications, Deep Learning, Parallel Computation, Data Center Networking, Storage Technologies, Information Technology, Data Analytics - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Developer-Technology_JR2011456-1 ## About the Role * An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience). * 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role. * Outstanding leadership, strong cross-functional collaboration, and impactful project execution. * Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA. * Programming fluency in C/C++ with a deep understanding of algorithms and software development. * In-depth expertise with CPU and GPU architecture fundamentals. * Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications. * A track record of building high-performing teams by attracting and hiring top engineering talent. * Excellent communication and presentation skills. * Demonstrated ability to successfully plan, lead, and execute high-impact initiatives. Ways to stand out from the crowd: * A PhD in a relevant field is highly valued. * Experience leading engineering teams to design performance-first prototypes. * Strong background in distributed high-performance data analytics including SQL or vector databases. * Expertise in modern data center network and storage technologies. ## Description This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs! NVIDIA platform is known for its AI dominance in deep learning training and inference. Nonetheless, modern data centers have hundreds of millions of CPUs that are used today to run mission critical workloads such as database, data preprocessing, compression, video transcoding, web servers, and many others. Help modernize today's data centers by researching and developing implementations to help save cost and power using the advanced NVIDIA platform. Core responsibilities include: * Driving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments. These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware. * Technical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA's hardware and software platforms. * Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your team to strengthen external developer engagements. Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth. * Collaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation. Advocate for next-generation hardware and software products that address the evolving needs of the developer community. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Security Challenges of Breaking A Monolith](https://www.wearedevelopers.com/videos/362-security-challenges-of-breaking-a-monolith) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) - [The weekly developer show: Boosting Python with CUDA, CSS Updates & Navigating New Tech Stacks](https://www.wearedevelopers.com/videos/1293-the-weekly-developer-show-boosting-python-with-cuda-css-updates-navigating-new-tech-stacks) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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