# Solutions Architect

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: 124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Open-Models_JR2029347?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/solutions-architect-f58898f2-353/

## Description

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.

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## Skills

### Required
- AI/ML
- post-training
- reinforcement learning
- LoRA / PEFT
- data curation
- evaluation
- agent-assisted model training workflows
- Linux
- SLURM
- Kubernetes

### Nice to have
- open-source NVIDIA AI libraries and models
- Nemotron
- NeMo
- NeMo-RL
- NeMo Gym
- agent environments
- synthetic data pipelines
- verifiable rewards for RL post-training
- customizing open-weight models

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Open-Models_JR2029347?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)