Solutions Architect, Open Models

Job not on LinkedIn

🔥 6 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $124k - $241.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 Solutions Engineer

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👻 Ghost score 1%

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• Just posted.
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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

• Support technical engagements with customers and partners to understand workloads and identify how NVIDIA’s technology stack can address their needs, under senior-team mentorship. • Participate in designing and validating scalable architectures, integration plans, and deployment approaches. • Build, test, and validate solutions that help customers and partners adopt and scale NVIDIA technologies. • Document and communicate customer and partner needs and technical feedback to internal product and engineering teams. • Collaborate with engineering and product teams to support successful customer deployments. • Run end-to-end post-training programs with enterprise customers, including supervised fine-tuning, reinforcement learning (GRPO, DPO, PPO), LoRA / PEFT, data curation, synthetic data generation, reward design, and evaluation design. • Build evaluation environments measuring post-training progress and feeding field signals to Product and Research. • Translate hands-on work into reusable recipes, reference pipelines, and playbooks for NVIDIA teams, customers, and partners.

🎯 Requirements

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field. • 2-5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field. • Hands-on exposure to open-weight model customization and the AI/ML systems ecosystem. • Foundational technical knowledge in AI/ML, particularly post-training, reinforcement learning, LoRA / PEFT, data curation, and evaluation. • Ability to communicate technical concepts clearly to technical and non-technical audiences. • Strong problem-solving skills, intellectual curiosity, and passion for aiding customers with technology. • Ability to form relationships with customers or partners and develop technical credibility and trust. • Proficiency with agent-assisted model training workflows. • Comfort using AI agents such as Claude Code, Cursor, or Codex to build, debug, and iterate on training and evaluation pipelines. • 3+ years of Linux experience, including launching training and evaluation jobs on SLURM or Kubernetes. • Experience with and/or contributions to open-source NVIDIA AI libraries and models, particularly Nemotron, NeMo, NeMo-RL, and NeMo Gym. • Hands-on 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, and Kimi, or applying AI model training to multimodal data.

🏖️ Benefits

• Equity • Benefits

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