Senior Developer Relations, Automated Synthetic Chemistry Science Lead

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 224,000 - 431,250 annuallyFunction: Software EngineeringExperience: 10+ yearsEducation: phdSkills: ["Interdisciplinary leadership","Scientific reasoning","Program execution","Governance","Matrix collaboration"]

Coordinate interdisciplinary synthetic chemistry research streams spanning experimental science, analytical characterization, AI modeling, laboratory automation, and data infrastructure. Translate research objectives into experimental priorities, planning, and success criteria, while leading initiatives across catalysis, process chemistry, and machine learning. Build standardized experiment traces, guide feasibility and optimization through AI systems, and run a closed-loop operating model with governance, readouts, and quality thresholds.

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NVIDIA
NVIDIA
1 day ago

Senior Developer Relations, Automated Synthetic Chemistry Science Lead

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Last checked: 6 hours agoStatus: Live

Job Summary

Coordinate interdisciplinary synthetic chemistry research streams spanning experimental science, analytical characterization, AI modeling, laboratory automation, and data infrastructure. Translate research objectives into experimental priorities, planning, and success criteria, while leading initiatives across catalysis, process chemistry, and machine learning. Build standardized experiment traces, guide feasibility and optimization through AI systems, and run a closed-loop operating model with governance, readouts, and quality thresholds.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Coordinate the operating plan across research priorities, technical execution, and program achievements.
  • •Convert research objectives into experimental priorities, parameter-space development, campaign planning, and success criteria.
  • •Lead research initiatives across synthetic chemistry, catalysis, process chemistry, machine learning, automated systems, and data processing.
  • •Build standardized experimental traces capturing successful and unsuccessful outcomes, metadata, quality-control signals, and analytical summaries.
  • •Establish science-stream governance (reviews, decision logs, risk/dependency tracking, quality thresholds) and prepare recurring readouts for program leadership.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD (or equivalent) with 10+ years hands-on experience in experimental science, chemical engineering, materials science, robotics, automation, analytical science, platform development, or AI-enabled science workflows.
  • •Deep expertise in experimental optimization and reasoning, including parameter selection, scope/conditions, tradeoffs, failure modes, and transferability.
  • •Proven understanding of automated experimental platforms, analytical readouts, metadata, quality control, and detailed unsuccessful-data capture.
  • •Experience leading large interdisciplinary teams across experimental science, automation, machine learning, data platforms, analytical science, software engineering, and partner execution.
  • •Ability to operate in matrixed partner governance, translating scientific direction into technical execution and leadership-ready decisions.
Experience:10+ yearsExperimental scienceChemical engineeringMaterials scienceRoboticsAutomationAnalytical scienceAI-enabled scienceLaboratory automationData infrastructureMachine learningLife sciences
Education:PhD / Doctorate
Skills:Interdisciplinary leadershipScientific reasoningProgram executionGovernanceMatrix collaboration
Tech Stack:Machine learningAI modelingLaboratory automationAnalytical readoutsData curationModel retrainingClosed-loop operating modelPredictive modelingActive learningOptimizationGPU-accelerated scientific computingSimulationAI agentsData infrastructure

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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