Solutions Architect, Open Models

• Support technical engagements with customers and partners. helping to understand their workloads and identify how NVIDIA’s technology stack can address their needs, under the mentorship of senior team members.
• Participate in the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions.
• Engage hands-on with technical topics—building, testing, and validating solutions that help customers and partners get started with and scale NVIDIA technologies.
• Help document and communicate customer and partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams.
• Collaborate with engineering and product teams to understand NVIDIA’s solutions and support successful customer deployments.
• Run end-to-end post-training programs with enterprise customers. This includes supervised fine-tuning, reinforcement learning (GRPO, DPO, PPO), LoRA / PEFT, data curation, synthetic data generation, reward design, and evaluation design.
• Build evaluation environments that give customers an objective measure of post-training progress. These environments feed field signal back to Product and Research, improving the next generation of NVIDIA’s open-weight models.
• Translate hands-on work into reusable recipes, reference pipelines, and playbooks. These let other NVIDIA teams, customers, and partners run post-training and evaluation themselves.

What We Need to See

• 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 — with some 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, with a proven curiosity about building expertise and contributing to technical solutions.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior collaborator levels.
• Strong problem-solving skills, intellectual curiosity, and a genuine passion for aiding customers succeed with technology.
• Proven ability to form relationships with customers or partners, with a curiosity about developing the technical credibility and trust needed to support complex product decisions.
• Proficiency with agent-assisted model training workflows. Comfortable 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 comfort launching training and evaluation jobs on SLURM or Kubernetes.

Ways to Stand Out from the Crowd

• A hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges.
• Early experience supporting customers and partners in adopting new technologies or platforms, with a passion for enabling others to succeed.
• 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 (Nemotron, Qwen, DeepSeek, GLM, Kimi), or AI model training applied to multimodal data.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 14, 2026.