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Material Science Engineer Jobs in Pullman, WA (NOW HIRING)

Lightcast

Lead Research Analyst - 1078

Moscow, ID · On-site

Degree in analytics, data science, economics, statistics, or a related field, or equivalent ... Advanced proficiency in SQL, Python, or similar analytical programming tools. * Advanced ...

Lightcast

Lead Research Analyst - 1078

Moscow, ID · On-site

Degree in analytics, data science, economics, statistics, or a related field, or equivalent ... Advanced proficiency in SQL, Python, or similar analytical programming tools. * Advanced ...

Lightcast

Lead Research Analyst - 1078

Moscow, ID

Degree in analytics, data science, economics, statistics, or a related field, or equivalent ... Advanced proficiency in SQL, Python, or similar analytical programming tools. * Advanced ...

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Showing results 41-60

All JobsMaterial Science Engineer JobsMaterial Science Engineer Jobs in Pullman, WA

Material Science Engineer information

See Pullman, WA salary details

$37.1K

$98.4K

$154.4K

How much do material science engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for material science engineer in Pullman, WA is $98,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $113,800.00 per year, depending on experience, location, and employer.

What is a material science engineer?

Material Science Engineers are professionals who study, develop, and test materials used to create a wide range of products, from electronics to medical devices to construction materials. They apply principles of chemistry, physics, and engineering to understand how materials behave and how they can be improved or adapted for specific uses. Their work often involves researching new materials, analyzing their properties, and collaborating with other engineers or scientists to solve complex problems. Material Science Engineers play a crucial role in advancing technology and making products safer, stronger, and more efficient.

What are the key skills and qualifications needed to thrive as a material science engineer?

To thrive as a Material Science Engineer, you need a solid background in materials engineering, chemistry, and physics, usually supported by a degree in materials science or a related field. Familiarity with laboratory analysis tools, materials characterization instruments (like SEM, XRD), and simulation software (such as MATLAB or ANSYS) is commonly required. Problem-solving, analytical thinking, and effective collaboration are crucial soft skills for innovating and working on multidisciplinary projects. These competencies ensure the development of advanced materials and solutions that meet industry standards and drive technological progress.

What are the most common challenges material science engineers face when working on cross-functional project teams?

Material Science Engineers often collaborate with professionals from mechanical, electrical, and manufacturing disciplines, which can present challenges in aligning technical requirements and timelines. Communication gaps may arise due to differences in technical language or priorities, making it essential to clearly convey material properties and limitations. Successfully navigating these challenges typically involves proactive collaboration, flexibility, and a willingness to learn about related fields to ensure project goals are met and innovative solutions are developed.

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

AspectMaterial Science EngineerMaterials Engineer
CredentialsBachelor's or Master's in Materials Science, Engineering, or related fieldBachelor's or Master's in Materials Science, Materials Engineering, or related field
Work EnvironmentResearch labs, manufacturing facilities, R&D departmentsManufacturing plants, R&D labs, quality control
Industry UsageResearch, development, testing of new materialsMaterial selection, processing, and quality assurance

Both roles focus on materials, but Material Science Engineers primarily engage in research and development of new materials, while Materials Engineers often work on applying and processing materials in manufacturing. The roles overlap in credentials and work environments, but their core responsibilities differ slightly.

Are material science engineers in demand?

Material science engineers are in demand due to their expertise in developing new materials for industries such as aerospace, automotive, and electronics. Employment opportunities are expected to grow as innovation and technological advancements continue, requiring skills in research, testing, and materials characterization tools like microscopy and spectroscopy.

What do material science engineers do?

Material science engineers research and develop new materials or improve existing ones for various applications, such as aerospace, electronics, and healthcare. They analyze material properties, use tools like microscopy and spectroscopy, and often work in laboratories or manufacturing environments to ensure materials meet performance and safety standards.

What is the average salary for a material science engineer in the US?

The average salary for a material science engineer in the US is approximately $80,000 to $100,000 per year, depending on experience, education, and location. Professionals with advanced skills in materials characterization and proficiency with tools like CAD or simulation software may earn higher salaries.

What cities near Pullman, WA are hiring for Material Science Engineer jobs?

Cities near Pullman, WA with the most Material Science Engineer job openings:

Material Science Engineer jobs near you
Infographic showing various Material Science Engineer job openings in Pullman, WA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $98,425 per year, or $47.3 per hour.

Product Manager - Emerging Technologies - 1071

Lightcast

Moscow, ID

Full-time

Posted 18 days ago

Job description

The Product Manager, Emerging Technologies, is responsible for executing and delivering AI product capabilities that enable Lightcast data and services to be securely consumed and used by AI platforms, agents, and emerging AI ecosystems. Working closely with Product Leadership, Engineering, Data Science, and Security, this role translates Lightcast's AI strategy into shipped products and capabilities, with an initial focus on Model Context Protocol (MCP) and other emerging approaches for delivering Lightcast data into AI-driven experiences.

This role owns the day-to-day product execution required to move AI initiatives from defined strategy through development, launch, adoption, and continuous improvement. The Product Manager partners closely with technical teams to translate product direction and customer needs into clear requirements, prioritize the backlog, manage tradeoffs and dependencies, and ensure delivered capabilities are secure, scalable, reliable, and valuable to customers.

The ideal candidate enjoys working with highly technical teams, is comfortable navigating emerging AI technologies, and excels at translating strategy into action. They bring strong product judgment, disciplined execution, and the ability to turn complex technical concepts into products and experiences that customers can understand and use.

Major Responsibilities:
Product Execution

  • Execute the product roadmap for AI data delivery capabilities, with an initial focus on MCP and evolving opportunities across agents, LLMs, and other AI-enabled experiences. 

  • Translate product strategy into clear requirements, user stories, acceptance criteria, and release plans that support effective delivery.

  • Own and prioritize the product backlog, making day-to-day product decisions based on customer value, technical feasibility, business priorities, and delivery constraints within the defined AI strategy..

  • Partner closely with Engineering throughout development, testing, and release cycles.

AI Product & Data Delivery

  • Partner with Engineering to deliver secure, scalable capabilities that enable AI platforms, agents, and AI-enabled products to consume and use Lightcast data.

  • Define functional requirements for MCP capabilities, AI data access, orchestration workflows, agent interactions, and related AI data delivery experiences.

  • Evaluate emerging AI technologies, standards, and delivery approaches and recommend practical applications within the established AI strategy.

  • Partner with Security, Legal, Data, and Product Leadership to ensure AI delivery capabilities protect Lightcast data and intellectual property and align with security, governance, licensing, customer usage rights, and responsible AI requirements.

Customer & Partner Collaboration

  • Gather customer and partner feedback to understand AI data delivery needs and translate those insights into actionable product enhancements.

  • Work with Customer Success, Sales, and Solution Engineering to validate product requirements and support customer adoption.

Product Operations

  • Define success metrics and monitor usage, adoption, customer feedback, and post-launch performance to identify opportunities for improvement.

  • Coordinate cross-functional dependencies across Product, Engineering, Security, and Data Science.

  • Identify product delivery risks, manage tradeoffs and dependencies, and escalate blockers when needed.

Education And Experience:

  • 5+ years of Product Management experience delivering software products required.

  • Hands-on product experience with AI integrations, agentic technologies, LLMs, MCP, or related emerging AI technologies required.

  • Experience working closely with Engineering teams in Agile development environments required.

  • Strong experience developing product requirements, user stories, acceptance criteria, workflows, and release plans required.

  • Demonstrated ability to manage and prioritize product backlogs across multiple stakeholders and competing priorities required.

  • Experience creating technical product documentation, implementation guidance, integration requirements, and supporting materials for technical and non-technical audiences required.

  • Ability to translate highly technical concepts into clear internal and external product education, training, and sales enablement materials in partnership with Product Marketing required.

  • Excellent communication and organizational skills, with the ability to collaborate effectively across highly technical and business-facing teams required.

  • Strong analytical and problem-solving abilities required.

  • Experience delivering data products, platform capabilities, enterprise data solutions, or other technically complex software products preferred.

  • Experience with enterprise data delivery, AI data access, AI tooling, or AI-enabled workflows preferred.

  • Familiarity with AI governance, data security, privacy, licensing, and responsible AI practices preferred.

  •   Experience using product analytics, adoption metrics, and customer feedback to improve product adoption and performance preferred.

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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