Senior Developer Relations, Automated Synthetic Chemistry Science Lead - CA, Santa Clara, United States
$224,000 - $431,250 USD yearly
Originally posted 22 September 2026 by the employer.
About the role
This role involves coordinating science streams at the intersection of experimental science, optimization, analytical characterization, AI modeling, laboratory automation, and data infrastructure.
What you'll do
- 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 encompassing 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.
- Guide AI systems for feasibility assessment, outcome prediction, optimization, scope exploration, and campaign orchestration.
- Establish science-stream governance: build reviews, decision logs, risk and dependency tracking, quality thresholds, and paths for addressing blocking issues.
What you'll need
- PhD (or equivalent experience) with 10+ years of hands-on experience in experimental science, chemical engineering, material science, robotics, automation, analytical science, platform development, or AI enabled science workflows.
- Deep expertise in experimental optimization and reasoning based on underlying principles, 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, and software engineering.
- Ability to operate in matrixed partner governance, translating scientific direction into technical execution and leadership-ready decisions.
Skills: automated synthetic chemistry, AI modeling, laboratory automation, interdisciplinary science teams, experimental optimization
This role has been open 0 days — well below the 56-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
71
|
Median days open
56 d
|
Median salary
$237k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (71 roles · 18 employers) |
|---|---|---|
| Open roles in this specialty | 21 | 71 |
| Median days open | 82 d | 56 d (+26 d vs this employer) |
| Median salary (USD postings) | — | $237k |
Skills observed across this category: automated synthetic chemistry, AI modeling, laboratory automation, interdisciplinary science teams, experimental optimization
Who's hiring in this category
- NVIDIA (this employer) · 20 open roles · median 71 d
- Qualcomm · 10 open roles · median 57 d
- Lam Research · 8 open roles · median 43 d
- AMD · 7 open roles · median 34 d
- Micron Technology · 6 open roles · median 37 d
- Tenstorrent · 3 open roles · median 90 d
How we counted: 71 open Technical Program Management (AI ML Hardware) roles from 18 employers tracked in the SemiconductorJobs index, counted 23 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.