Application Development Engineer E jobs at Kla in United States, Ann Arbor

Troubleshoot and refine optics modules and manufacturing processes for complex deep-UV imaging systems.Develop and maintain procedures, test fixtures, specifications, and train manufacturing, service, suppliers, and other engineer's on optics build, alignment and test processes.Solid understanding of Optics theory, especially imaging systems is a must.Experience with design software (CodeV, Zemax) and practical experience with statistical analysis is a plus.

Working on complex assignments where independent action and a high degree of initiative are required for problem solving.

Minimum Qualifications

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years.

MS in Optical Science/Engineering, Electrical Engineering, Physics.

. Please ensure that you have searched

Responsibilities

Work with functional groups to define requirement specifications needed to developelectrical/electronic

Responsible for technical project planning including project timelines, milestones, budget estimate and design reviews

Design mixed signal electronic systems, including schematic capture, simulation and layout review

Create test plans and perform testing, technical and root cause analysis to validate design performance at bench and system level including hands-on testing, spec validation, troubleshooting and root cause analysis

Qualifications

Minimum 5-7 year’s experience with BSEE, or 3-5 years experience with MSEE

Solid knowledge of electrical system design principles, analog/digital and mixed signal design, computer electronics, etc.

Strong technical project management skills and good understanding of engineering design phases and deliverables

Good track record to drive executions

Excellent problem-solving skills

Excellent written and verbal communications skills

Hands-on experience with lab equipment like logic analyzer, oscilloscope, soldering, etc.

Knowledge of board level FPGA/CPLD, motor/motion controls, power electronics, camera systems and image acquisition is a plus

. Please ensure that you have searched

In this role, you’ll go beyondimplementation—you’llarchitect, optimize, and lead the development of advanced algorithms that push the boundaries of what’s possible in high-resolution imaging and real-time analysis. You’ll work closely with cross-functional teams to define technical direction, validate performance, and ensure seamless integration into production systems.

• Design and optimize cutting-edge algorithms for image processing, inverse problems, and computer vision
• Prototype in Python or MATLAB, and implement high-performance solutions in C++ on Linux
• Accelerate algorithm performance using CUDA/GPU programming
• Collaborate with systems, software, and hardware teams to translate complex requirements into scalable solutions
• Lead technical discussions, mentor junior engineers, and contribute to long-term algorithm strategy
• 5+ years of hands-on experience in image processing, computer vision, or machine learning in a production environment
• Deep expertise in spectral/spatial filtering, model-based methods, and inverse problem solving
• Strong proficiency in C++, with experience developing on Linux platforms
• Proven ability to prototype and validate algorithms in Python or MATLAB
• Familiarity with CUDA, TensorFlow, or other GPU-accelerated frameworks is a strong plus
• Experience architecting algorithms from the ground up and solving real-world vision challenges at scale

• Work on mission-critical technology that powers the semiconductor industry
• Be part of a high-caliber team where your expertise drives innovation
• Enjoy a hybrid work model with 3 days in the office and flexibility built in
• Grow your impact through technical leadership, cross-functional collaboration, and continuous learning

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

. Please ensure that you have searched

Responsibilities:

• Design electrical parts, modules, and subsystems that are part of a complete measurement system.
• Lead the entire design process, from requirement specifications and feasibility studies to cost and scheduling analysis.
• Conduct various analyses, including circuit, timing, thermal/cooling, and electrical loading.
• Perform thermal/cooling analysis and control.
• Program PLCs.
• Create conceptual and detailed designs using tools like AutoCAD, including detailed drawings and design review presentations.
• Procure prototype parts, test prototype assemblies, integrate into systems, and hand off to manufacturing.
• Develop supporting documentation, such as assembly instructions, test fixtures, procedures, and service manuals.
• Collaborate with other engineering groups, including mechanical, software, systems, and manufacturing, to ensure seamless integration and testing at both the subsystem and system levels.
• Partner with suppliers to ensure all design requirements are met and address product issues throughout the product lifecycle.

Qualifications:

• High-power design experience (>200V, >100A), with a strong preference for AC, but DC is acceptable.
• Experience with 3-phase circuit design (sources and loads).
• Proficiency in PLC programming (Siemens, Allen Bradley).
• Knowledge of communication protocols (e.g., Fieldbus, CAN).
• Understanding of controls, including thermal/cooling modeling, control and safety circuits, and PID tuning.
• Experience with MATLAB, Python, and LabVIEW.
• Strong understanding of AutoCAD (OrCAD or CREO is a plus).
• Hands-on diagnostic experience with complex electrical subsystems.
• Passion for working on groundbreaking technologies and excellent problem solving/analysis skills
• Excellent verbal and written communication skills.
• Expertise in Intrinsic Safety design is a plus!
• Travel up to 25%; ability to be flexible for domestic and international travel based on business needs.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

or at +1-408-352-2808

. Please ensure that you have searched

· Research emerging AI technologies focused on contextual classification, multimodal models, and AI databases
· Design, develop, and deploy proof of concepts from research
· Collaborate with cross-functional teams to integrate models into our existing systems and workflow
· Participate in AI research, systems architecture discussions and code reviews
· Conduct data engineering and analysis to improve model accuracy and efficiency
· Fine-tune models based on feedback and performance metrics

· Master’s degree and above in AI, Machine Learning, Computer Science, Engineering, or a related field.
· Proficiency in model fine-tuning techniques for large-scale models and tailoring them to specific tasks.
· Experience with inference optimization techniques (e.g. quantization, pruning, hardware-specific optimizations)
· Hands-on experience in machine learning, natural language processing, and AI technologies with contributions to open-source AI/ML projects.
· Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch).
· Familiarity with MLOps practices and tools for deploying and managing models in production.
· Prior experience in a similar industry is a plus.
· Excellent problem-solving and analytical skills.
· Strong communication and teamwork abilities.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

or at +1-408-352-2808

. Please ensure that you have searched

This role requires strong leadership to lead large development and architecture teams, stakeholder management, and technical expertise to ensure seamless integration across diverse application landscapes. Extensive SAP experience is essential for this role.

Strategic Leadership:

• Strong leadership, strategic thinking, and communication skills. Knowledge of emerging technologies and industry standards.
• Develop and implement the overall SAP strategy aligned with business objectives
• Define roadmaps and corresponding financial plans for technology investments to stay current with the technology trends
• Serve as a trusted advisor to executive leadership, providing insights on SAP capabilities and trends

Technology Roadmap Development

• Contribute to the development of the organization's overall technology roadmap, ensuring ERP, CRM and other enterprise applications align with broader technological objectives.

Team Leadership and Collaboration:

• Build and lead cross-functional teams , including senior-level managers, employees, SAP consultants, and third-party vendors.
• Foster collaboration among IT, business units, and external partners to ensure smooth integration and user adoption

Technical Expertise:

• Ensure optimal integration of SAP with other enterprise systems and technologies, including O365 Apps and AWS technologies
• Stay updated on the latest SAP advancements and recommend upgrades or innovations
• Lead the adoption of SAP S/4HANA and cloud migration strategies, implementing best practices in SAP architecture, including ABAP development, SAP UI5/Fiori
• Manage and execute the transition to a clean core using ABAP cloud and the Business Technology Platform (BTP)
• Strong understanding of business processes across various functions (finance, supply chain, Service and Sales)
• Collaborate cross-functionally with BASIS, infrastructure, architecture, and functional leaders to achieve results
• Middleware experience with SAP PO (Process Orchestration) and CIP (Cloud Integration Platform)
• Manage Enterprise Architecture (EA) in LeanIX, including Application Portfolio Management, Architecture and Road Map Planning and Technology Risk and Compliance
• Hybrid Solutions: Experience with hybrid cloud solutions that integrate on-premises and Azure/AWS environments.
• Experience with SAP Sales and Service cloud is a plus

Preferred Qualifications

• Education: Bachelor's or master's in computer science, engineering, IT, or related field.
• 15+ years of experience in SAP ecosystem with deep knowledge of the latest SAP technologies like BTP, and other AI-driven solutions preferred
• Proven record of accomplishment of leading development on SAP S/4HANA or other major SAP implementation projects
• Demonstrated ability to lead, empower, and manage diverse teams
• Extensive experience in enterprise architecture, IT strategy, and development.

Minimum Qualifications

• Master's Level Degree with a minimum of 10 years of applicable experience OR
• Bachelor's Level Degree with a miniumu of 12 years of applicable experience

or at +1-408-352-2808

Job Scope and Complexity:

• Initially understand reliability models, then gradually own and run them to generate engineering insights

• Identify gaps between models and real-world scenarios, and develop innovative ideas to bridge these gaps with clever assumptions

• Write code as necessary to develop a fundamental understanding of reliability and statistical problems, and present insights and visualizations concisely

• Collaborate with cross-functional groups to obtain extensive data from the field and validate model results against field results

• Continuously drive innovation and features in the reliability, availability, and maintainability modeling domain

• Deliver written periodic reports to keep the wider team informed about status and progress

• Present ideas and results in concise decks and summary documents

• Lead cross-functional technical groups, convey key ideas, resolve differing viewpoints with a collaborative spirit, and move discussions forward

• Eager to learn and adept at picking up new technical concepts and software

• Be self-driven with a drive for problem-solving

Preferred Qualifications:

• Familiarity with any commercial reliability software (e.g., ReliaSoft)

• Demonstrated experience with part level and system level reliability analysis. Experience with reliability analysis of complex equipment systems a plus.

• Experience with failure mode analysis

• Familiarity with SQL and PBI

• Demonstrated experience using statistical and visualization packages for problem solving (e.g., JMP, Matlab, R, Python, PBI, Tableau, etc.). Familiarity with SQL is a plus.

• Master’s degree or doctorate in related discipline is preferred

• Experience in the framework of a Product Life Cycle and SEMI E10 definitions is a plus

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

• Degree in mechanical engineering, electrical engineering, computer science engineering, statistics, or related engineering discipline

• Demonstrated experience of advancing solutions to technical problems in a cross-functional and multidisciplinary environment

• Evidence of learning new software and adaptability to continuously learn new technical topics

• Evidence of applying statistics in solving real world industrial problems. A strong understanding of statistical distributions and their applications in real world (e.g., Weibull, exponential, etc.)

• A strong grasp of basic probability concepts. An understanding of Bayes’ probability framework is considered a plus.

• Evidence of proficiency in coding to solve applied industrial problems

• Strong interpersonal and communication skills

or at +1-408-352-2808