Sr. Artificial Intelligence Engineer
KLAAbout the role
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Job Description/Preferred Qualifications
What you will be doing
KLA makes industrial systems that are indispensable for manufacturing of semiconductors. These systems involve complex hardware, firmware, software and high-performance compute.
The Sr. Artificial Intelligence Engineer position we are trying to fill deals with the algorithms that are deployed on the tool and the software that is involved with deploying these algorithms at scale.
The work will involve equal parts data science algorithms as well as software. Significant hands on experience with working in both domains in a hands on capacity is necessary.
AI engineer in this position will have the following responsibilities:
- Responsible for the design, development, testing and roll out of software solutions that are pathfinding and roadmap items enhancing the capabilities of the KLA inspection machines' HPC systems.
- Possess good communication skills to work with several hardware and software interdisciplinary teams to understand the system/marketing requirements and to map them to software requirements and design.
- Candidate should (over time) develop deep understanding of algorithm use cases and be able to provide solutions for critical customer gaps or issues. Develop and evaluate concepts and designs for the next generation systems by conducting trade-off studies, identifying risk items and suggest mitigation plans.
- Work in a geographically distributed team to develop and deliver software solutions.
- Comfortable working in a fast-paced environment where communication and collaboration with a large multi-disciplinary team is a significant part of the job.
- Mentoring junior team members.
- Influential to the degree of being a thought leader in architectural and technology decisions made by the team.
What we want to see:
- A Bachelor's degree or higher in Computer Science, Engineering, or related field.
- Previous experience as a Software Engineer or Software Developer working on machine control (non-compute hardware), automation, or instrumentation.
- Previous experience as an algorithms engineer in the data sciences concept (Traditional machine learning, deep learning, LLMs etc)
- Excellent software engineering skills, including deep conceptual and applied knowledge of OOP, design patterns, data structures, distributed systems, multi-threaded and multi-process programming.
- Proficiency in writing, deploying, and maintaining production code in C++, C# or JAVA.
- Ability to take abstract problem statements and detail them out into concrete requirements and design through collaborative discussions.
- Possess good communication skills and the ability to work in a team environment.
What will make you stand out from the crowd:
- A passion and demonstrated track record of creating algorithmic and software solutions that controls in the image processing domain.
- Deep understanding of software engineering concepts (operating systems,
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