Lead Scientist, Automated Chemistry & AI Experiments

NVIDIA; Santa Clara (CA); On-site; USD 240,000 - 430,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a Senior Developer Relations, Automated Synthetic Chemistry Science Lead to coordinate science streams at the intersection of experimental science, AI, and data infrastructure. You will lead interdisciplinary teams, accelerate experimentation, and ensure scientific quality across automated platforms.

Responsibilities span synthesis, catalysis, machine learning, and campaign orchestration, with emphasis on governance, data traces, and evidence-based decision making.

Qualifications

• PhD (or equivalent) with 10+ years hands-on experience in experimental science or related fields.
• Deep expertise in experimental optimization and principled reasoning.
• Experience leading large interdisciplinary teams across science and engineering.
• Ability to operate in matrixed partner governance and drive decisions.

Responsibilities

• Coordinate operating plan across research priorities, execution, and program milestones.
• Convert objectives into experimental priorities, campaigns, and success criteria.
• Lead interdisciplinary initiatives in synthesis, catalysis, process chemistry, ML, automation, and data processing.
• Build standardized traces capturing outcomes, metadata, and QC signals.
• Guide AI systems for feasibility, prediction, optimization, and campaign orchestration.
• Integrate automation, analytics, data streams, and model retraining into a closed loop.
• Establish governance with reviews, logs, risk tracking, and quality thresholds.
• Prepare readouts for leadership detailing progress, decisions, dependencies, and risks.

Skills

Experimental optimization

AI enabled workflows

Leadership

Data platforms

Education

PhD or equivalent experience

Tools

Automated lab systems

GPU-accelerated computing

Machine learning

Job description

NVIDIA seeks a Senior Developer Relations, Automated Synthetic Chemistry Science Lead to coordinate science streams at the intersection of experimental science, AI, and data infrastructure. You will lead interdisciplinary teams, accelerate experimentation, and ensure scientific quality across automated platforms.

Responsibilities span synthesis, catalysis, machine learning, and campaign orchestration, with emphasis on governance, data traces, and evidence-based decision making.