Senior Architect, Model Performance and Post-Training
NVIDIA· Engineer, Sys SW
Hybrid (Santa Clara, CA), Remote$224k - $431.3kFull-timePosted 1w ago
About the role
Senior Engineer focused on performance modeling, evaluation, and post-training of large language models specialized in code generation, software engineering, and agentic coding tasks. Designs experiments, improves coding model capabilities, and builds production-ready post-training pipelines.
Responsibilities
- Develop frameworks to measure and analyze coding model performance across code generation, debugging, code completion, repository-level reasoning, and multi-step software engineering tasks.
- Develop and optimize post-training pipelines for coding models, including supervised fine-tuning (SFT), preference optimization, reinforcement learning (RL), and outcome-based or process-based reward modeling.
- Analyze benchmark results, training dynamics, failure modes, and model behaviors to identify opportunities for improvement.
- Improve model performance on sophisticated coding tasks through targeted training interventions, reward design, curriculum development, and iterative error analysis.
- Build scalable, reproducible infrastructure for training experiments, evaluation pipelines, and model performance analysis.
Qualifications
- Bachelor's degree (or equivalent) in Computer Science or AI with 12+ years of meaningful work experience.
- Excellent programming skills in Python and strong understanding of large language models, transformer architectures, and the training and evaluation of generative models.
- Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design.
- Deep understanding of software engineering fundamentals, code generation, automated testing, and program correctness.
- Proven ability to lead model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.
Skills
Required:Python programmingLarge language models / transformer architecturesReinforcement learning conceptsSoftware engineering fundamentalsExperiment tracking / dataset versioning
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Equity eligibility
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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