Senior AI Software Engineer (E)

Description

Preferred Qualifications

AI Software Engineersare core to KLA’s technology, while we do not currently have an opening, we are always building our AI Software Engineering talent community, we are interested in learning about your background.

Apply to thisposting for Future Opportunities with KLA.

The AI & Modeling Center of Excellence, centered in KLA’s R&D facility in Ann Arbor, MI, was setup with the mission of advancing KLA’s traditional strengths in physics and data and providing implementation solutions for multiple KLA Inspection and Metrology products targeted at the semiconductor manufacturing industry.

As a part of this group, you will be part of a world class team of physicists, HPC system designers, machine learning and application engineers who build cutting edge solutions for modeling complex imaging techniques and semiconductor processes.

You will also work with a data scientists and AI infrastructure engineers whose mission is to build and scale machine learning based solutions for our semiconductor customers.

We are looking for engineers in a few different fields. If you are passionate about Physics Modeling, High Performance Computing - HPC (including GPU), ML, Data, or Cloud technologies this is the place for you!

Responsibilities and Qualifications :

Software Engineers in the AI and Physics Modeling team may work on a variety of tasks including platform for large scale experimentation, scaleout of physics models, data management and inference solutions for KLA products.

Although familiarity with Machine Learning and Deep Learning solutions would be a big plus, this is primarily a Software Engineering position.

Successful candidates are passionate about software and will have exceptional skills and hands on experience with development in C / C++ and Python in a Unix environment.

Deep conceptual understanding of multi-threaded and multi process software systems is also necessary.

In addition to the above fundamental software skills, any of the following technical hands-on skills are highly desirable.

1) System Programming and Operating Systems.

2) Distributed systems for data management.

3) Distributed computing infrastructure.

4) Cloud technologies for storage, containerization and compute clusters.

5) Data Structures and algorithms

6) GPU architectures and data management.

7) Traditional machine learning using Random Forest, XG Boost, Logistic Regression.

8) Deep Learning for regression, classification. Generative models.

9) TensorFlow, NumPy, scikit-learn, and other ML and DL frameworks.

10) MPI and similar distributed computing framework.

11) GPU Architectures and CUDA (CuGraph, CuData, CuML etc).

12) GO Systems Programming, Java Programming.

Successful candidates for this position will also demonstrate the following non-technical skills.

1) Capability to formulate creative solutions through analyzing complex data

2) Good communication skills

3) Strong team player and motivated by team success

4) Strong problem-solving skills

Minimum Qualifications

Bachelors degree and 8+ years of experience OR Masters level degree and a minimum of 6+ years of experience OR a PhD and 3+ years of experience

The company offers a total rewards package that is competitive and comprehensive including but not limited to the following : medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.

We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.