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Your Role & Responsibilities
Conduct time studies using REFA or MTM methodologies to identify process inefficiencies.
Lead process optimization initiatives to improve throughput, reduce waste, and enhance productivity.
Design ergonomic and efficient workplaces aligned with safety and operational standards.
Implement and sustain LEAN production methods , including 5S, Kaizen, and value stream mapping.
Support Kanban and Just-In-Time (JIT) production systems for optimal material flow.
Collaborate with cross-functional teams on sequencing and capacity planning .
Utilize ERP systems (SAP) for production planning, resource allocation, and performance tracking.
Provide data-driven insights to support continuous improvement and strategic decision-making.
What You bring
Degree in Industrial Engineering, Mechanical Engineering, or a related field.
3–7 years of experience in industrial engineering, preferably in semiconductor or high-tech manufacturing .
Strong knowledge of mechanical and electrical engineering fundamentals .
Hands-on experience with REFA or MTM time study techniques .
Proven success in LEAN manufacturing , workplace design, and process improvement.
Proficiency in SAP or similar ERP systems.
Familiarity with Kanban , JIT , and capacity planning tools.
Excellent analytical, organizational, and communication skills.
Why You’ll Love Working Here
Be part of a global leader in semiconductor innovation.
Work in a high-tech, collaborative environment focused on continuous improvement.
Enjoy career development , training programs, and international exposure.
Contribute to shaping the future of smart manufacturing .
Apply now and help us build smarter, faster, and more efficient production systems.
Full timeAssignee / RegularThese jobs might be a good fit

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As an Android Engineer, you’ll work on the Shipping module within the eBay Android app — making it easier for sellers to ship items and for buyers to track their deliveries. You’ll collaborate with experienced engineers, designers, and product leaders, gaining hands-on experience with Kotlin, GraphQL, and AI-assisted development tools in a supportive and inclusive environment designed to accelerate your growth.
What You Will Accomplish
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What You’ll Do
Drive predictive and preventive maintenance programs for semiconductor manufacturing equipment.
Analyze performance data to reduce equipment downtime and improve reliability.
Optimize spare part management using smart inventory strategies.
Ensure compliance with CE certification and technical specifications.
Collaborate on tool installation , qualification, and ramp-up activities.
Promote safety and ergonomic improvements in equipment design and operation.
Support project management tasks including planning, execution, and reporting.
Maintain detailed documentation for audits, compliance, and continuous improvement.
What You bring
Degree in Mechanical, Electrical, or Mechatronics Engineering.
3–5 years of experience in equipment engineering within the semiconductor industry .
Strong knowledge of semiconductor process tools , cleanroom protocols, and equipment lifecycle.
Proven success in downtime reduction , maintenance optimization , and spare part strategy .
Familiarity with CE marking , safety standards, and ergonomic design.
Solid project management and cross-functional collaboration skills.
Analytical mindset with excellent troubleshooting and communication abilities.
Why You’ll Love Working Here
Be part of a global leader in semiconductor innovation.
Work with state-of-the-art equipment and cutting-edge technologies.
Thrive in a collaborative, safety-first culture .
Enjoy career growth , training opportunities, and international exposure.
Apply now and help us engineer the future of semiconductor manufacturing
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As an Applied Research Manager, you lead scientists and engineers, guiding major projects. This role is a unique blend of technical leadership and people management, perfect for a seasoned researcher who excels at both.
Manage a group of researchers and technologists, aligning the team's work with product initiatives and encouraging the professional development of your team members.
Take on vague and ambitious business problems, translating them into principled, solvable research plans and driving them from idea to production.
Serve as the technical project lead for critical initiatives, collaborating with product managers and engineers to build robust data pipelines and scalable algorithmic systems.
Mentor junior researchers and engineers, setting the bar for technical excellence and helping to establish and improve scientific processes across the organization.
Act as a key technical voice in discussions across teams, influencing technical direction and contributing to the broader org and company strategy.
An experienced and strong practitioner of machine learning with deep industrial experience in one or more of the following: classification, regression, recommendation systems, ranking systems, online advertising, or fraud detection.
Proven track record to lead complex projects, reduce ambiguity, and make critical technical decisions that balance short-term needs and long-term vision.
Experience designing and operating big data processing pipelines using technologies like Hadoop, Spark, Hive, or SQL.
Strong programming skills and experience building large-scale backend systems using languages such as Python, R, Java, Scala, or C++.
Excellent communication, collaboration, and mentoring skills, with a track record of influencing others and driving consensus.
PhD in Computer Science, Statistics, or a related field with 4-8 years of industry experience, OR a Master's degree with 8-11 years of industry experience.
A history of publishing in top-tier academic conferences is a strong plus.

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Drive the search monetization technical vision by incorporating and developing software engineering processes and standards to enhance eBay’s buying experience.
Collaborate with scientists and product managers to deploy complex yet scalable core algorithmic logic.
Create robust data pipelines and real-time monitoring and optimization algorithms.
4+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, functional programming, algorithms, OOPs, and Software Design
Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL
3+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, Scala, and related technologies
Background or interest in mathematics or machine learning
Excellent verbal and written communication, collaboration, and influencing skills
Bachelor's degree in computer science/engineering or equivalent professional experience, with 5+ years of experience,
Masters degree in computer science/engineering or equivalent professional experience, with 3+ years of experience.

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The Impact You’ll Make in this Role
Here, you will make an impact by:
Your Skills and Expertise
To set you up for success in this role from day one, 3M is looking for candidates who meet following minimum requirements:
Additional knowledge / nice-to-have skills / preferred qualifications that could help you succeed even further in this role include:
Job specifics:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

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What you will be doing:
Develop and optimize scalable high-performance cryptographic primitives, algorithms, and building blocks on the latest GPU hardware architectures
Emphasize robust long term software architectures and designs that effectively use many generations of hardware
Work closely with internal(product management, engineering) and external partners to understand feature and performance requirements and deliver timely cuPQC releases.
What we need to see:
PhD or MSc’s degree in Applied Mathematics, Computer Science, or related science or engineering field is preferred (or equivalent experience).
5+ years of experience designing and developing software for cryptography in low latency or high throughput environments
Strong mathematical foundations.
Advanced C++ skills, including modern design paradigms (e.g. template meta-programming, SFINAE, RAII, constexpr, etc).
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Experience developing libraries consumed by many users.
Experience with CUDA C++, and GPU computing.
Programming skills with contemporary automation setups for both building software (e.g. cmake) as well as testing (e.g. CI/CD, sanitizers).
Strong understanding of mathematical foundations and algorithms used in cryptography, including but not limited to finite field arithmetic, lattice-based cryptography, and cryptographic hash functions.

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Your Role & Responsibilities
Conduct time studies using REFA or MTM methodologies to identify process inefficiencies.
Lead process optimization initiatives to improve throughput, reduce waste, and enhance productivity.
Design ergonomic and efficient workplaces aligned with safety and operational standards.
Implement and sustain LEAN production methods , including 5S, Kaizen, and value stream mapping.
Support Kanban and Just-In-Time (JIT) production systems for optimal material flow.
Collaborate with cross-functional teams on sequencing and capacity planning .
Utilize ERP systems (SAP) for production planning, resource allocation, and performance tracking.
Provide data-driven insights to support continuous improvement and strategic decision-making.
What You bring
Degree in Industrial Engineering, Mechanical Engineering, or a related field.
3–7 years of experience in industrial engineering, preferably in semiconductor or high-tech manufacturing .
Strong knowledge of mechanical and electrical engineering fundamentals .
Hands-on experience with REFA or MTM time study techniques .
Proven success in LEAN manufacturing , workplace design, and process improvement.
Proficiency in SAP or similar ERP systems.
Familiarity with Kanban , JIT , and capacity planning tools.
Excellent analytical, organizational, and communication skills.
Why You’ll Love Working Here
Be part of a global leader in semiconductor innovation.
Work in a high-tech, collaborative environment focused on continuous improvement.
Enjoy career development , training programs, and international exposure.
Contribute to shaping the future of smart manufacturing .
Apply now and help us build smarter, faster, and more efficient production systems.
Full timeAssignee / RegularThese jobs might be a good fit