3 ΠΌΠ΅ΡΡΡΠ° Π½Π°Π·Π°Π΄
Process Engineer, Powder (Materials Science)
175Β 000 - 275Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Process Engineer, Powder (Materials Science): Designing and optimizing the end-to-end powder synthesis workflow for an AI-driven materials discovery platform with an accent on statistical process control, equipment troubleshooting, and data integrity. Focus on stabilizing manual lab operations and translating these findings into requirements for a full-scale automated lab.
Location: Must be based in or near Menlo Park or San Francisco, CA (some flexibility possible)
Salary: $175,000 β $275,000
Company
AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.
What you will do
- Own the end-to-end powder synthesis workflow, including dispensing, mixing, pressing, reaction, recovery, and characterization.
- Apply statistical process control (SPC) and systems thinking to stabilize processes and identify drift.
- Diagnose and troubleshoot lab equipment and investigate data integrity issues within the toolchain.
- Design operator workflows to minimize human error and sample mix-ups.
- Execute design of experiments (DOE) to optimize recipes and process factors.
- Collaborate with researchers and software teams to define requirements for an automated, full-scale lab.
Requirements
- Degree in chemistry, materials science, chemical engineering, or a related field.
- Hands-on experience in solid-state chemistry, ceramics, or powder processing.
- Proficiency in SPC, Six Sigma/Lean, and DOE using tools like JMP or Minitab.
- Experience with characterization techniques such as X-ray diffraction (XRD) and scanning electron microscopy (SEM).
- Basic computer proficiency to read and modify scripts and validate data flows.
- Visa sponsorship is available.
Nice to have
- Experience with battery materials, anode/cathode chemistries (e.g., Tesla, Sila, Mitra Chem).
- Experience scaling R&D or pilot processes toward higher throughput or automation.
- Background in quality engineering or reliability engineering.
- Familiarity with integrating scientific instrumentation with data systems.
Culture & Benefits
- Opportunity to work at the frontier of AI and physical sciences.
- High-ownership environment with a fast-paced, research-driven culture.
- Comprehensive visa sponsorship and legal support.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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