New College Grad - PCVD Process Engineer
Full-time
Micron Technology Inc
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Our Vision
Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Micron is advancing a historic $15 billion investment in semiconductor manufacturing in Boise, Idaho, with DRAM production planned for the second half of the decade. As a global leader in memory and storage solutions, Micron is investing more than $150 billion worldwide over the next decade to expand leading-edge manufacturing capabilities and drive innovation across the semiconductor industry. Join the Boise expansion team and help build the future of semiconductor manufacturing. You will work alongside experienced engineers to develop advanced processes, solve complex manufacturing challenges, and support the production of technologies that power everything from artificial intelligence to next-generation computing systems.Position Overview
As a PCVD Process Engineer , you will contribute to the development, optimization, and sustainment of semiconductor manufacturing processes. You will gain hands-on experience in a state-of-the-art fabrication environment, partnering with teams to improve yield, quality, reliability, and productivity. This role offers an outstanding opportunity to apply engineering fundamentals, build technical expertise, and develop a career in advanced semiconductor manufacturing.Responsibilities
- Support the development, optimization, and sustainment of PCVD processes to improve product performance, manufacturing efficiency, and yield.
- Analyze process and manufacturing data to identify trends, investigate issues, and implement effective corrective actions.
- Collaborate with Process Integration, Equipment, Manufacturing, Quality, and other engineering teams to achieve production and technology objectives.
- Participate in process qualifications, experiments, and continuous improvement initiatives using statistical and engineering methodologies.
- Employ data analytics tools to evaluate process performance and drive data-informed decisions.
- Explore and apply AI-assisted and Agentic AI workflows to enhance process monitoring, engineering productivity, and problem-solving.
- Document findings, present technical results, and communicate recommendations to interested parties.
Minimum Qualifications
- Bachelor's or Master's degree in Chemical Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Physics, Chemistry, or a related STEM discipline.
- Graduating before the start date or graduated within the last 24 months.
- Foundational knowledge of semiconductor manufacturing, materials science, process engineering, or related technical fields through coursework, research, internships, or co-op experience.
- Strong analytical, problem-solving, and troubleshooting skills demonstrated through academic projects, research, laboratory work, or internships!
- Ability to communicate technical concepts effectively and collaborate within a team-oriented environment!
Preferred Qualifications
- Internship, co-op, research, or laboratory experience in semiconductor manufacturing, microelectronics, nanotechnology, materials processing, plasma-enhanced deposition systems, or related technologies.
- Experience with statistical process control (SPC), experimental design (DOE), process characterization, or data visualization techniques.
- Familiarity with programming, scripting, or data analysis tools such as Python, JMP, MATLAB, SQL, or similar platforms.
- Experience applying AI, Generative AI, or AI-assisted tools to support engineering, research, automation, or data analysis projects.
- Demonstrated leadership through student organizations, research teams, design competitions, project-based coursework, or community involvement.
What Sets You Apart
- Strong curiosity and desire to learn in a fast-paced manufacturing environment.
- Ability to use data to identify root causes and recommend solutions.
- Effective collaboration and communication skills across technical fields.
- Adaptability and willingness to take ownership of complex technical challenges.
- Passion for driving innovation in semiconductor technology.
Vacancy posted 6 days ago
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