<p>Pioneering a wearable augmented reality platform to amplify enterprise productivity.</p>

magic leap

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Magic Leap is seeking a highly skilled Senior Industrial Engineer with a strong background in semiconductor factory automation and advanced manufacturing systems. This role involves optimizing equipment utilization, WIP flow, and capacity planning, partnering with R&D, Quality, and Production teams, and supporting Kaizen activities. The ideal candidate will have hands-on experience in semiconductor fabrication, proficiency in AMHS, and simulation tools like FlexSim or AutoCAD, driving efficient, automated production environments.

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<p class="my-4 text-gray-700 leading-relaxed"><strong>A new paradigm of computing</strong></p><p class="my-4 text-gray-700 leading-relaxed">Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences.</p><p class="my-4 text-gray-700 leading-relaxed">Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the mixed reality (XR) ecosystem. We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>The opportunity</strong></p><p class="my-4 text-gray-700 leading-relaxed">We are seeking a highly skilled Senior Industrial Engineer with a strong background in semiconductor factory automation and advanced manufacturing systems. This role is ideal for an experienced engineer who can bridge the gap between equipment, process, and data to drive highly efficient, automated production environments.</p><p class="my-4 text-gray-700 leading-relaxed">The ideal candidate has hands-on experience in semiconductor fabrication along with proficiency in Automated Material Handling Systems (AMHS), such as Overhead Hoist Vehicles (OHV) and Automated Guided Vehicles (AGV), as well as simulation and layout tools like FlexSim, AutoCAD, or equivalent.</p><p class="my-4 text-gray-700 leading-relaxed">This position is onsite in our Plantation, FL office. Relocation support may be available for qualified candidates. Up to 25% domestic and international travel may be required to support cross-site collaboration, vendor engagement, and project execution.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>What you’ll do</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Optimize equipment utilization, WIP flow, and capacity planning.</li><li class="leading-relaxed">Partner with R&D, Quality, and Production teams to transition new processes into high-volume manufacturing.</li><li class="leading-relaxed">Support Kaizen activities, standard work documentation (SOPs, work instructions), and GMP compliance.</li><li class="leading-relaxed">Conduct time studies, value stream mapping, and OEE analysis to identify inefficiencies and drive improvements.</li><li class="leading-relaxed">Perform root-cause investigations and troubleshoot complex manufacturing and automation issues.</li><li class="leading-relaxed">Work directly with equipment vendors and contractors to implement solutions and support tool performance.</li><li class="leading-relaxed">Translate complex technical data into clear, executive-ready summaries and presentations.</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>The experience you bring</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">B.S. in Industrial Engineering or related field.</li><li class="leading-relaxed"><strong>7+ years</strong> of experience in semiconductor or optics manufacturing, including automation projects.</li><li class="leading-relaxed">Proven experience with AMHS / OHV / AGV systems or related semiconductor automation technologies.</li><li class="leading-relaxed">Proficiency in AutoCAD for layout and space optimization.</li><li class="leading-relaxed">Experience with FlexSim, Siemens Plant Simulation, or other discrete event simulation tools.</li><li class="leading-relaxed">Strong knowledge of SPC, MSA, CPK, OEE, and DOE methodologies.</li><li class="leading-relaxed">Six Sigma Green Belt certification or higher.</li><li class="leading-relaxed">Skilled in data analysis tools such as JMP, Minitab, or Python for process modeling and statistical analysis.</li><li class="leading-relaxed">Hands-on cleanroom experience in semiconductor or optics environments.</li><li class="leading-relaxed">Familiarity with wet cleans, lithography, etching, or vacuum process tools.</li><li class="leading-relaxed">Experience developing automation layouts and data-driven process control strategies.</li><li class="leading-relaxed">Excellent communication and cross-functional collaboration skills.</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>It’s exciting if you also have</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong analytical and systems-level problem-solving skills.</li><li class="leading-relaxed">Project coordination abilities in fast-paced technical environments.</li><li class="leading-relaxed">Deep understanding of lean manufacturing and continuous improvement principles.</li><li class="leading-relaxed">High level of initiative, ownership, and comfort navigating ambiguity.</li><li class="leading-relaxed">Experience working in high-tech, multicultural, and cleanroom environments.</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>Additional Information</strong></p><p class="my-4 text-gray-700 leading-relaxed">All your information will be kept confidential according to Equal Employment Opportunities guidelines.</p><p class="my-4 text-gray-700 leading-relaxed">Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.</p><p class="my-4 text-gray-700 leading-relaxed">All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to <strong>TalentAcquisition@magicleap.com</strong> for assistance.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>Accommodations</strong></p><p class="my-4 text-gray-700 leading-relaxed">If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing <strong>ApplicantAccommodation@magicleap.com</strong>. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.</p><p class="my-4 text-gray-700 leading-relaxed">#LI-SM2</p><p class="my-4 text-gray-700 leading-relaxed">#LI-ONSITE</p><p class="my-4 text-gray-700 leading-relaxed"><em>Our salary ranges are determined by role, level and location. In addition to salary, Magic Leap offers a discretionary bonus and a fully comprehensive benefits package for eligible employees.</em></p><p class="my-4 text-gray-700 leading-relaxed">US Base Salary Range</p><p class="my-4 text-gray-700 leading-relaxed">$140,000 - $160,000 USD</p>

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Line of Service</h2><p class="my-4 text-gray-700 leading-relaxed">Advisory</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Industry/Sector</h2><p class="my-4 text-gray-700 leading-relaxed">Not Applicable</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Specialism</h2><p class="my-4 text-gray-700 leading-relaxed">Data, Analytics & AI</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Management Level</h2><p class="my-4 text-gray-700 leading-relaxed">Senior Associate</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Why PWC</h2><p class="my-4 text-gray-700 leading-relaxed">At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">about us</a>.</p><p class="my-4 text-gray-700 leading-relaxed">At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description & Summary:</h2><p class="my-4 text-gray-700 leading-relaxed">A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data.</li><li class="leading-relaxed">Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools.</li><li class="leading-relaxed">Work with structured and unstructured data stored in AWS or Azure Data Lakes.</li><li class="leading-relaxed">Apply strong SQL and Python skills to manipulate and analyze data efficiently.</li><li class="leading-relaxed">Collaborate with cross-functional teams to deliver cloud-based serverless data solutions.</li><li class="leading-relaxed">Design innovative data solutions that address complex business requirements and support data-driven decision-making.</li><li class="leading-relaxed">Maintain documentation and enforce best practices for data architecture, governance, and performance optimization.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Mandatory skill sets:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Databricks, PySpark, and SQL on any cloud platform (AWS or Azure).</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Preferred skill sets:</h2><p class="my-4 text-gray-700 leading-relaxed">ETL, Pyspark</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Years of experience required:</h2><p class="my-4 text-gray-700 leading-relaxed">4 to 10 Years</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education qualification:</h2><p class="my-4 text-gray-700 leading-relaxed">Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education</h2><p class="my-4 text-gray-700 leading-relaxed">Degrees/Field of Study required: Bachelor Degree, Master Degree</p><p class="my-4 text-gray-700 leading-relaxed">Degrees/Field of Study preferred:</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Certifications</h2><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Required Skills</h2><p class="my-4 text-gray-700 leading-relaxed">Databricks Platform</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Optional Skills</h2><p class="my-4 text-gray-700 leading-relaxed">Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

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Programming Patterns

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Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.