2 days ago
Base Salary
$152k - $242k/yr
Responsibilities
- Partner with industry and account teams to understand customer goals, strategies, and technical needs.
- Define and deliver high-value technical solutions for customers and partners.
- Create targeted samples, whitepapers, blogs, wiki articles, and other technical documentation.
- Integrate NVIDIA technology into manufacturing use cases involving AI, HPC, enterprise GPU, and networking architectures.
- Support datacenter and edge applications and strategically partner with lighthouse customers and industry-specific solution partners.
- Engage with customers, partners, internal developers, researchers, data scientists, IT managers, and senior leaders on complex technical initiatives.
Requirements
- BS, MS, or PhD in Robotics, Engineering, Computer Science, or equivalent experience.
- 5+ years of work-related experience in robotics, humanoids, and AI domains, including areas such as VLA, VLM, Transformers, synthetic data generation, or GPU-based parallel computing software development.
- Experience with Docker or containers, Kubernetes, and modern application deployment practices.
- Experience with modern deep learning software architectures and frameworks.
- Experience supporting customers or partners in technical engagements.
- Strong written and oral communication, collaboration, organization, analytical, and problem-solving skills.
- Preferred experience applying AI to robotics and humanoid use cases, including VLA/VLM training, simulation, and digital twins.
- Preferred experience with TensorFlow, PyTorch, TRT, Vision Transformer, NVIDIA Jetson and Thor platforms, GPU programming, Nsight Systems, deep neural network research, machine learning research, industry data, or technical thought leadership.
Benefits
- Base salary range of 152,000 USD to 241,500 USD, determined by location, experience, and comparable employee pay.
- Eligible for equity and benefits.
- Applications accepted at least until October 6, 2026; the posting is for an existing vacancy.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.