2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Advise customers and partners on mapping complex workloads to NVIDIA’s technology stack and achieving measurable outcomes.
- Co-design scalable architectures, technical direction, integrations, and deployment plans.
- Design, validate, deploy, and support customer-facing technical solutions hands-on.
- Lead complex technical engagements, resolve sophisticated issues, and advocate for customer needs.
- Partner with engineering and product teams to improve and deploy NVIDIA solutions.
- Run end-to-end enterprise post-training programs involving fine-tuning, reinforcement learning, data curation, synthetic data, reward design, and evaluation.
- Build evaluation environments, reusable recipes, reference pipelines, and playbooks for open-weight model adoption.
- Mentor other Solutions Architects and improve the quality of technical and customer-facing deliverables.
Requirements
- Bachelor’s or master’s degree or equivalent experience in computer science, engineering, mathematics, physics, data science, or a related field.
- At least 8 years of professional experience across software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
- At least 3–5+ years of direct hands-on experience customizing open-weight models through post-training.
- Deep expertise in AI/ML, open-weight model post-training, software platforms, systems, and libraries.
- Experience leading complex and ambiguous customer engagements and communicating technical concepts to technical and executive audiences.
- Proficiency with agent-assisted model training workflows and AI agents such as Claude Code, Cursor, or Codex.
- Expertise in distributed computing and launching or debugging multi-node training and evaluation jobs on SLURM or Kubernetes.
- Preferred experience contributing to NVIDIA AI libraries and models, including Nemotron, NeMo, NeMo-RL, or NeMo Gym.
- Preferred experience with agent environments, synthetic data pipelines, verifiable rewards, Tinker, multimodal model training, and evaluation harnesses.
Benefits
- Competitive base salary and comprehensive benefits package, with equity eligibility.
- Benefits available for employees and their families.
- Applications accepted at least until November 14, 2026.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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.