Senior Solutions Architect, Open Models

🔥 2 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as a trusted advisor by mapping complex customer workloads to NVIDIA’s technology stack • Co-design scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans • Design, validate, and support solutions hands-on • Lead technical engagements and resolve sophisticated customer issues • Advocate for customer technical needs • Partner with engineering and product teams on successful deployment and continuous improvement • Run end-to-end post-training programs, including supervised fine-tuning, reinforcement learning, LoRA / PEFT, data curation, synthetic data generation, reward design, and evaluation design • Build evaluation environments to objectively measure post-training progress • Feed field signals back to Product and Research to improve open-weight models • Build reusable recipes, reference pipelines, and playbooks • Mentor other Solutions Architects and raise the technical bar 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 field • 8+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management • 3-5+ years of direct, hands-on experience in open-weight model customization • Experience with supervised fine-tuning, reinforcement learning (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 • Track record of driving customer engagements and contributing to software platforms, systems, and libraries • Ability to communicate sophisticated technical ideas clearly to technical and non-technical audiences • Strong problem-solving skills and intellectual curiosity • Ability to balance customer and partner needs with complex product decisions • Experience leading complex, ambiguous customer engagements • Proficiency with 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 jobs on SLURM or Kubernetes • Hands-on technical problem-solving ability • History of enabling customers or partners to adopt NVIDIA technologies and platforms • Experience with and/or contributions to open-source NVIDIA AI libraries and models, particularly Nemotron, NeMo, NeMo-RL, and NeMo Gym • Experience designing agent environments, synthetic data pipelines, and verifiable rewards for RL post-training, or using serverless post-training APIs such as Tinker • Hands-on experience customizing open-weight models such as Nemotron, Qwen, DeepSeek, GLM, or Kimi, or training AI models on multimodal data • Experience designing benchmarks and evaluation harnesses adopted by other teams

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package • Equity

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