Senior Solutions Architect, Open Models

This is a fully remote position, open to applicants in California.

📋 Description

• Act as a trusted advisor by aligning intricate customer workloads with NVIDIA’s technology stack.

• Collaborate with customers and partners to design scalable architectures, establishing technical direction, integration milestones, and deployment strategies.

• Create, validate, and support solutions through hands-on involvement.

• Lead technical engagements and address complex customer challenges.

• Champion the technical needs of customers.

• Collaborate with engineering and product teams to ensure successful deployment and ongoing enhancements.

• Manage comprehensive post-training programs, incorporating supervised fine-tuning, reinforcement learning, LoRA/PEFT, data curation, synthetic data generation, reward design, and evaluation design.

• Develop evaluation environments to objectively assess post-training progress.

• Relay field insights back to Product and Research to enhance open-weight models.

• Create reusable recipes, reference pipelines, and playbooks.

• Mentor fellow Solutions Architects and elevate the technical standards on reviews 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 discipline.

• 8+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.

• 3-5+ years of hands-on experience in customizing open-weight models.

• Proficient in supervised fine-tuning, reinforcement learning (GRPO, DPO, PPO), LoRA/PEFT, data curation, synthetic data generation, reward design, and evaluation design.

• Strong technical expertise in AI/ML and post-training of open-weight models.

• Proven track record of facilitating customer engagements and contributing to software platforms, systems, and libraries.

• Capable of articulating complex technical concepts clearly to both technical and non-technical audiences.

• Strong analytical skills and a passion for problem-solving.

• Ability to reconcile customer and partner needs with intricate product decisions.

• Experience leading multifaceted and ambiguous customer engagements.

• Proficient in agent-assisted model training workflows and AI agents such as Claude Code, Cursor, or Codex.

• Expertise in distributed computing, including launching and debugging multi-node training and evaluation tasks on SLURM or Kubernetes.

• Demonstrated hands-on technical problem-solving capabilities.

• History of empowering customers or partners to adopt NVIDIA technologies and platforms.

• Experience with and/or contributions to open-source NVIDIA AI libraries and models, specifically Nemotron, NeMo, NeMo-RL, and NeMo Gym.

• Experience designing agent environments, synthetic data pipelines, and verifiable rewards for RL post-training, or utilizing serverless post-training APIs like Tinker.

• Practical experience customizing open-weight models such as Nemotron, Qwen, DeepSeek, GLM, or Kimi, or training AI models on multimodal data.

• Experience crafting benchmarks and evaluation harnesses that are utilized by other teams.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.

• Equity.