Samsung Electronics Polska

Etch Engineer - Process Owner

In short

Etch Engineer - Process Owner role at Samsung Austin Semiconductor, developing and optimizing FEOL/BEOL plasma etch processes for GAA and FinFET technology nodes (2nm, 14nm, 17nm, 28nm). Requires a bachelor's degree in a related engineering field plus 24 months of experience in plasma etch process engineering, SPC/FDC/APC methodologies, tool qualification, and statistical analytics tools like JMP, Minitab, or Python. The position is full-time and on-site in Taylor, TX, with a base salary range of $102,230-$122,230.

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Position Summary
As an Etch Engineer - Process Owner, see roles and responsibilities below.
Role and Responsibilities
•Develop and optimize Front End of Line (FEOL) and Back End of Line (BEOL) plasma etch processes for emerging Gate-All-Around (GAA) architectures including 2 nm node and mature semiconductor technology nodes, including 14nm, 17nm, 28nm FinFET.
•Implement and sustain Advanced Process Control (APC) methodologies, including feed-forward (FF) process control strategies for trench etch and via-height optimization.
•Perform Statistical Process Control/Fault Detection and Classification (SPC/FDC) monitoring, statistical yield analysis, and root-cause investigations for plasma etch process excursions, interlocks, and Out-of-Control Action Plan (OCAP) events.
•Qualify and integrate heterogeneous etch tool platforms, including LAM Research FLEX/KIYO, and/or TEL, Applied Materials, Mattson, PSK and SEMES and cross-platform etch equipment for production deployment.
•Conduct process matching and technology transfer activities across global semiconductor manufacturing sites.
•Support factory ramp-up activities through tool qualification planning, capacity optimization, and throughput improvement initiatives.
•Develop monitoring plans for post-preventive maintenance (PM) defect detection and production wafer qualification.
•Collaborate with equipment engineering, process integration, metrology, and yield enhancement teams to improve process stability and manufacturing efficiency.
•Utilize DOE methodologies and statistical analytics platforms, including Spotfire, JMP, Minitab, and Python for process optimization and defect reduction initiatives.
•Perform failure analysis and material characterization using SEM, EDX, spectroscopy, and related semiconductor characterization techniques.
•Support semiconductor manufacturing for automotive electronics, memory devices, RF technologies, and advanced display applications.
•Participate in cost-reduction and risk-assessment initiatives involving process hardware qualification and fab operational efficiency improvements.
•(Multiple Openings)
Skills and Qualifications
Bachelor's degree in Chemical Engineering, Materials Science Engineering, Electrical Engineering, Semiconductor Engineering, or closely related engineering discipline and 24 months of experience in job offered or in a semiconductor plasma etch process engineering role within an advanced-node semiconductor manufacturing environment.
Requires 24 months of experience involving the following:
1.Back End of Line (BEOL) and Front End of Line (FEOL) dry plasma etch process development and sustaining;
2.Semiconductor manufacturing using FinFET and/or Gate-All-Around (GAA) process technologies, including Nanosheet 3D transistor technology and Copper to Copper Hybrid Bonding;
3.Statistical Process Control (SPC), Fault Detection and Classification (FDC), Advanced Process Control (APC), and statistical yield analysis methodologies to detect, correct, and optimize semiconductor manufacturing processes to maximize yield;
4.Authorship of critical standard operating procedures (SOPs) for novel etch processes;
5.New Product Introduction: Facilitating launch of new products by optimizing etch recipes and tool spread, and implementing novel APC processes like Feed Forward APC;
6.Semiconductor tool qualification and process matching activities to ensure matching process baselines and hardware to hardware reproducibility;
7.Root-cause analysis for yield excursions and defect reduction;
8.Semiconductor process optimization using Design of Experiments (DOE) methodologies;
9.Semiconductor metrology and characterization, including SEM and EDX analysis;
10.Statistical analytics software, such as Spotfire, JMP, Minitab, or Python, to maximize wafer yield, optimize complex manufacturing processes, and detect equipment failures before they cause defects; and
11.High-volume manufacturing (HVM) and factory ramp support to transition a semiconductor design from a functional prototype into a commercially viable, cost-effective, and mass-produced product.
Compensation and Total Rewards
The current base salary range for this role is between $102,230 to $122,230. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
•Medical, dental, and vision insurance
•Life insurance and 401(k) matching with immediate vesting
•Onsite café(s) and workout facilities
•Paid maternity and paternity leave
•Paid time off (PTO) + 2 personal holidays and 10 regular holidays
•Wellness incentives and more
Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.

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