Senior Solutions Architect, Open Models

Responsibilities: Serve as a trusted advisor mapping complex workloads to NVIDIA technology to achieve measurable outcomes Co-design scalable architectures with customers and partners, defining direction and deployment plans Engage hands-on with design, validation, and support of solutions for customer and partner success Lead technical engagements and advocate for customer technical needs Partner with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions Run end-to-end post-training programs including supervised fine-tuning, RL (GRPO, DPO, PPO), LoRA/PEFT, data curation, synthetic data generation, reward design, and evaluation design Build evaluation environments to measure post-training progress and feed insights back to Product and Research Scale impact by creating reusable recipes, reference pipelines, and playbooks; mentor other SAs and raise technical standards

Key requirements: 8+ years of professional experience in software/hardware engineering, developer relations, solutions architecture, or product management 3-5+ years hands-on experience in open-weight model customization with supervised fine-tuning, RL (GRPO, DPO, PPO), LoRA/PEFT, data curation, synthetic data generation, reward design, and evaluation design Deep technical expertise in AI/ML and open-weight model post-training Proven ability to communicate complex technical ideas to both technical and non-technical audiences Strong problem-solving skills and customer-focused mindset Experience leading complex, ambiguous customer engagements and driving them forward Proficiency with agent-assisted model training workflows and tools (e.g., Claude Code, Cursor, Codex) and with distributed computing (SLURM, Kubernetes) clear communication to diverse audiences strong problem-solving and curiosity customer-centric approach AI/ML and open-weight model post-training supervised fine-tuning, RL (GRPO, DPO, PPO), LoRA/PEFT data curation and synthetic data generation