> Markdown version of [/jobs/ext/1296630-senior-solution-engineer-for-nvidia-experience-compute-software](https://www.wearedevelopers.com/jobs/ext/1296630-senior-solution-engineer-for-nvidia-experience-compute-software). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solution Engineer for NVIDIA Experience, Compute Software - **Company:** NVIDIA Ltd. - **Location:** Las Cruces, NM, United States - **Experience:** Expert - **Salary:** $100,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Nvidia CUDA, Software Engineering, Management of Software Versions, Parallel Computation, Information Technology, Virtual Agents - **Published:** July 16, 2026 - **Apply:** https://www.jofdav.com/jobs/58855271-senior-solution-engineer-for-nvidia-experience-compute-software ## About the Role The NVIDIA Experience (NVEX) Solutions Engineering team is looking for an experienced software engineer focused on customer support of NVIDIA products including AI Enterprise, Omniverse and vGPU! Your will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must have excellent problem-solving abilities and communication skills and be able to chip in to multiple projects and tasks. This position is for a software engineer who will work with their team on creative solutions to improve situations and processes. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools., * Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience. * At least 10 years of software engineering experience. * AI/ML expertise. * Professional-level communication skills, including the ability to adjust communication to the technical level of the audience, and stay calm and focused in negative situations. * Excellent follow-up and organizational skills, with a passion or love for solving problems. Ways to stand out from the crowd: * Software engineering experience * Customer support experience * Technical expertise in technologies related to NVIDIA AI Enterprise, Omniverse, vGPU * Experience with parallel programming or GPU acceleration (e.g., CUDA) ## Description * Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues. * Work with engineering teams on customer issues, providing logs, reproduction, and other triage information. * Apply AI to create/update products and/or support tools. * Take ownership and drive customer issues from inception to resolution. * Document customer interactions to better enhance our knowledge base. * Participate in the creation, maintenance, and versioning of documentation related to customer support processes, procedures, and associated guidelines. * Apply agentic AI skills to solving customer issues and software development * Occasional work on weekends and holidays to support customers ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [The Avengers Initiative (Practical Ethics for Software Engineers)](https://www.wearedevelopers.com/videos/2070-the-avengers-initiative-practical-ethics-for-software-engineers) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [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) - [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) - [Your Next AI Needs 10,000 GPUs. 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