10 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Partner with industry and account teams to understand customer goals, strategies, and technical needs.
- Define and deliver high-value NVIDIA solutions for manufacturing, industrial robotics, AI, HPC, GPU, and networking use cases.
- Support customers, partners, internal developers, researchers, data scientists, IT managers, and senior leaders in technical engagements.
- Develop targeted samples and technical documentation, including whitepapers, blogs, and wiki articles.
- Integrate NVIDIA technology into datacenter and edge applications and strategically support lighthouse customers and solution partners.
- Coordinate multiple initiatives, priorities, and complex technology and product implementations.
Requirements
- Bachelor’s, master’s, or doctoral degree in Robotics, Engineering, or Computer Science, or equivalent experience.
- 8+ years of work-related experience in robotics, humanoids, and AI, including areas such as VLA, VLM, Transformers, synthetic data generation, and GPU parallel computing.
- 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, analytical, problem-solving, time-management, and organizational skills.
- Preferred experience applying AI to robotics and humanoid use cases, VLA or VLM training, simulation, digital twins, TensorFlow, PyTorch, TRT, Vision Transformer, Isaac Sim, Isaac Lab, Nsight Systems, GPU programming, profiling, AI research, or technical thought leadership.
Benefits
- Eligible for equity and benefits.
- Base salary is provided in location- and experience-dependent Level 4 and Level 5 ranges.
- Applications are accepted at least until November 3, 2026.
- This 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.