Solutions Architect

We're hiring a Solutions Architect to join our AI Software Segment Solutions Architecture team, focused on open-weight AI models.

In this role, you'll support customer-facing technical engagements and help connect real-world workloads to NVIDIA's hardware and software ecosystem.

Responsibilities

• 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, including 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.
• Translate hands-on work into reusable recipes, reference pipelines, and playbooks.

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 , 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.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• 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.
• Proficiency with agent-assisted model training workflows.

Preferred Qualifications

• 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.
• Experience with and/or contributions to open-source NVIDIA AI libraries and models.
• Hands-on experience designing agent environments, synthetic data pipelines, and verifiable rewards for RL post-training.
• Hands-on experience customizing open-weight models.

Your base salary will be determined based on your location, experience, and other objective job-related factors.