Process Engineer at Opticsolution

Jerusalem, Jerusalem District, Israel -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Process Control, Design of Experiments, Root Cause Analysis, Process Optimization, Yield Improvement, Technical Documentation, Data Analysis, Cross-functional Collaboration, Semiconductor Manufacturing, JMP, Python, Microscopy, SEM, TEM, EDS, AFM

Industry

Industrial Machinery Manufacturing

Description

Process Engineer Location: Jerusalem Type: Full-time Reports To: Process Team Lead Are you ready to solve one of the most critical challenges in the future of AI and high-performance computing? We are looking for a talented Process Engineer to join our innovative, fast-growing team in Jerusalem. In this role, you will be at the heart of the silicon photonics revolution, bridging the gap between cutting-edge R&D and scalable, high-volume production. If you are a data-driven problem solver who thrives in a multidisciplinary environment and wants to see your engineering expertise directly impact the infrastructure of next-generation data centers, we invite you to lead the way with us. Role Overview As a Process Engineer, you will play a central role in scaling and stabilizing manufacturing processes from development into high-volume production. You will act as the technical bridge between R&D and operations, ensuring processes are robust, efficient, and consistently deliver high-quality output. This role combines hands-on engineering, data-driven decision-making, and cross-functional collaboration to drive continuous improvement and operational excellence. What You Will Be Doing Optimize manufacturing processes to improve yield, throughput, and cost efficiency Monitor and control process stability using Statistical Process Control (SPC) methodologies Design and execute experiments (DOE) to understand process behavior and drive improvements Lead root-cause investigations for process deviations, yield loss, and product failures Collaborate with R&D, quality, and production teams to transfer new processes into manufacturing Develop, implement, and maintain process control strategies and best practices Troubleshoot equipment and process issues in real time to minimize downtime Create and maintain detailed SOPs, technical documentation, and engineering reports Analyze complex datasets to identify trends, shifts, and optimization opportunities Support global manufacturing sites, vendors, and partners (up to 30% travel) What We Need to See B.Sc. in Materials Science, Chemistry, Chemical Engineering, Physics, or a related technical field (M.Sc. is an advantage) 3–5 years of experience in process engineering (semiconductor, pharmaceuticals, chemical, or advanced manufacturing preferred) Hands-on experience with SPC and DOE methodologies Strong problem-solving skills using structured root-cause analysis tools (8D, Fishbone, 5-Why, or similar) Ability to work with complex data and extract actionable insights Strong technical communication skills in English (written and verbal) Experience investigating product failures and identifying process- or material-related defects Ability to work in cross-functional and fast-paced environments Ways to Stand Out Experience with JMP and automation using JSL for advanced data analysis Proficiency in Python for data manipulation, modeling, or process optimization Hands-on experience with microscopy and characterization tools (SEM, TEM, EDS, AFM) Track record of scaling processes from development to high-volume manufacturing Demonstrated impact on yield improvement, cost reduction, or cycle-time optimization Experience working across multiple sites or in global manufacturing environments

Responsibilities

The Process Engineer will scale and stabilize manufacturing processes from R&D to high-volume production for silicon photonics. Key duties include optimizing yield and throughput, monitoring process stability via SPC, and leading root-cause investigations for product failures.