Platform Scientist I/II, Functional Materials Instrumentation
Quick Summary
Your Impact at LILA Lila Sciences is seeking a Platform Scientist I/II to advance functional materials innovation. In this role,
Lila Sciences is seeking a Platform Scientist I/II to advance functional materials innovation.
In this role, you will design and integrate custom instruments and specialized hardware, to fabricate, characterize, and test novel functional materials and devices.
This work sits at the intersection of hardware design, materials science, solid-state physics, and automated experimentation. Success means building lab capabilities that accelerate current technical programs and strengthen Lila's platform offering for future customers.
- Establish fabrication and measurement workflows for functional materials.
- Specify, source, assemble, and validate custom synthesis and characterization systems, with an emphasis on optical characterization methods
- Lead integration of instrumentation into autonomous lab and AI-driven experimental workflows.
- Diagnose, iterate, and improve instrument designs based on experimental feedback.
- Partner with computational, synthesis, and characterization teams to define which hardware capabilities to build next.
- PhD or equivalent experience in applied physics, materials science, chemistry, or a related field.
- Scientific domain of expertise in functional materials (semiconductor, photonics, superconducting materials etc.)
- Expertise in solid state syntheses and characterization for functional materials
- Proven ability to build and integrate hardware for novel and high throughput experimentation.
- Ability to work in fast, data-driven, high-throughput R&D environments.
Nice to Have
~1 min read- Proficient in writing software for controls, data collection, and analysis.
- CAD, machining/3D printing, and rapid prototyping for custom hardware.
- Knowledge of AI/ML-driven discovery workflows or autonomous lab platforms.
- Experience with class 4 lasers
What We Offer
~1 min readWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Location & Eligibility
Listing Details
- Posted
- October 6, 2026
- First seen
- October 6, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- October 6, 2026
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