Process Development Engineer

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

• Develop, optimize, and sustain lithography processes used for device fabrication at Qorvo’s semiconductor fabrication facility.
• Position requires working Monday-Friday 8am-5pm schedule.
• Primary responsibility will include supporting photolithography processes and tools for resist coat, expose, develop, and associated metrology. Role will involve broad range of litho toolsets related to 1x, i-line and ebeam processes.
• You will work closely with cross-functional teams in Process Engineering, Equipment Engineering, Manufacturing, Quality, Integration, and R&D to ensure process stability, improve yield, and drive continuous improvement initiatives.

• BS in Engineering, Materials, Statistics or physical sciences or equivalent. MS or PhD preferred
• Minimum of 5 years of wafer fab semiconductor photolithography process engineering experience, with demonstrated success in process development, process control, DOE execution, yield improvement, and root-cause analysis. 3 years or more if MS; 0 years or more if PhD.
• Hands-on experience with ASML steppers/scanners and TEL track systems, including process qualification, optimization, matching, and troubleshooting.
• Proven track record of driving measurable improvements in yield, defectivity, overlay, critical dimension control, and overall process performance.
• Demonstrated ability to lead cross-functional teams and provide technical leadership in a fast-paced, 24/7 manufacturing environment.
• Proven ability to leverage large manufacturing datasets using SQL, Oracle, Spotfire, Access, JMP, or equivalent tools to identify process trends, drive yield improvements, and resolve complex manufacturing issues.
• Experience with data automation, scripting, and advanced analytics tools such as Databricks, Python, JMP Scripting Language (JSL), R, MATLAB, or equivalent is highly desirable.
• Position requires significant time working in a cleanroom environment. Some lifting and standing will be required.