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Phd Material Science Jobs in California (NOW HIRING)

PhD in Physics, Chemistry, Material Science, or Engineering with experience in materials characterization and surface analysis techniques. Skills and Abilities: * Must have experience with materials ...

OLED Device Engineer

Cupertino, CA · On-site

$180 - $280/hr

PhD in (Applied) Physics, Electrical Engineering, Material Science or similar and a minimum of 3 years relevant experience or Master's Degree with 7 years of industry experience * Experience with ...

Preferred Qualifications PhD in (Applied) Physics, Electrical Engineering, Material Science or similar and a minimum of 3 years relevant experience or Master's Degree with 7 years of industry ...

Preferred Qualifications PhD in (Applied) Physics, Electrical Engineering, Material Science or similar experience or Master's Degree Experience with SPICE software packages such as Cadence, Synopsis ...

Staff Hardware Reliability Engineer

Mountain View, CA · On-site

$120K - $152K/yr

PhD Degree in Mechanical Engineering, Electrical Engineering, Material Science, or Physics * 15 years of experience, as a manager, directing the reliability program at CMs, ODMs or international ...

... PhD in Mechanical Engineering, Applied Mechanics, Material Science, or similar discipline Experience in material testing and failure analysis Background in solid mechanics and materials science ...

... or PhD in Mechanical Engineering, Applied Mechanics, Material Science, or similar discipline Background in solid mechanics and materials science Experience with explicit dynamics and thermal ...

Showing results 41-60

Phd Material Science information

What is the difference between Phd Material Science vs Materials Engineer?

AspectPhd Material ScienceMaterials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related field
Work EnvironmentResearch labs, academia, R&D departmentsManufacturing, product development, industry labs
Industry UsageResearch, academia, advanced R&DProduct design, process improvement, manufacturing

Phd Material Science professionals focus on advanced research, developing new materials, and academic roles, often working in labs or universities. Materials Engineers typically work in industry settings, applying existing knowledge to develop and improve products and manufacturing processes. While both roles require knowledge of materials, the PhD is more research-oriented, whereas Materials Engineers focus on practical application and product development.

What cities in California are hiring for Phd Material Science jobs?

Cities in California with the most Phd Material Science job openings:

Infographic showing various Phd Material Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, and 4% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Research Scientist/Engineer, Materials

Periodic Labs

Menlo Park, CA • On-site

$250 - $350/hr

Other

Posted 3 days ago

New


Job description

About Periodic Labs

We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible.

About the Role

At Periodic Labs, we are automating scientific research in materials discovery; the data we collect, and how we represent it, is what makes this possible. We are hiring a materials scientist to work across the entire process: to find where our agents and data fail, and to fix those failures at the source. This is a hybrid research and infrastructure role. Roughly half your time will be spent working directly with our experimental and computational scientists, building agents and tools that solve active research problems. The other half will be spent improving the data those agents depend on.

This role requires domain depth, not just data engineering skill. You need to know, for example, what metadata actually matters for a given characterization technique. The research half of the role keeps you grounded in the problems we are actually using LLMs to solve, so the schemas you build serve real research rather than an abstraction of it. The work demands attention to detail and a willingness to get into the weeds: to meticulously read, understand, and improve our data. You'll be as much a materials scientist doing research as the person who makes our agentic harness actually work.

What You'll Do
  • Work directly with lab scientists and the computational team on active research problems, staying close to the actual bottlenecks LLM agents are meant to solve.

  • Investigate agent traces to identify data errors and agentic failure modes, and eliminate them at the source.

  • Restructure and re-architect our materials databases (lab experiments, characterization data, computations) around how LLM agents actually reason and fail, not just around human readability. Draw on domain expertise about how to represent the data and what metadata matters.

  • Work with the hardware and automation teams to make data collection more robust.

  • Build research software for lab environments, translating scientific requirements into working tools.

  • Distill what you learn into evaluations that measure agent performance.

Mechanics
  • Minimum experience: 4+ years of research or industry experience in experimental or computational materials science and working with data at scale.

  • Minimum education: PhD in Materials Science, Chemistry, or a related field, or equivalent industry experience.

  • Location: Menlo Park, CA (Soon: San Francisco, too)

  • Compensation: $250,000-350,000 + equity

  • Visa sponsorship: Yes, we sponsor visas.

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