The posting
We’re hiring a Senior Solutions Architect to drive technical engagement with customers and partners across our AI Software Segment Solutions Architecture team, focused on open-weight AI models. You’ll connect real-world customer workloads to NVIDIA’s open-weight model and software ecosystem, helping developers and enterprises adopt and scale our platforms. . We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re passionate about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you!
What You’ll Be Doing:
- Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
- Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
- Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
- Lead technical engagements, helping customers resolve sophisticated issues, and advocate for their technical needs.
- Partner multi-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
- 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 open-weight models.
- Scale our impact by building reusable recipes, reference pipelines, and playbooks that let other teams succeed. Senior Solutions Architects also mentor other SAs and raise the technical bar on review and customer-facing deliverables.
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.
- 8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in open-weight model customization — including 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, with a track record of driving customer engagements and contributing to software platforms, systems, and libraries.
- Shown ability to communicate sophisticated technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
- Strong problem-solving skills, intellectual curiosity, and a dedication to helping customers succeed.
- Proven success in balancing insight for customer and partner needs with the ability to drive complex product decisions through positive relationships.
- Experience leading complex, ambiguous customer engagements, proactively pushing them forward. Proficiency with agent-assisted model training workflows and comfort using AI agents such as Claude Code, Cursor, or Codex to build, debug, and iterate on training and evaluation pipelines. Expertise in distributed computing, including launching and debugging multi-node training and evaluation jobs on SLURM or Kubernetes.
Ways to Stand Out from the Crowd:
- A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
- History of enabling customers and/or partners to optimally adopt NVIDIA technologies and platforms.
- A technical vision that influences research, product, and engineering decisions and drives production outcomes.
- 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. Experience designing benchmarks and evaluation harnesses that were adopted by other teams.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
