- Location
- USA-MI-Ann Arbor-KLA, United States of America
- Type
- Part-time
- Department
- IT
- Education
- Bachelor
- Source
- Workday
Description
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
What You'll Do
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
Job Description/Preferred Qualifications
Responsibilities
Engineers in the Software team will be working on building and maintaining infrastructure vital for large scale experimentation and deployment of HPC solutions. Domains in which a successful candidate will be encouraged to chip in, will include, data management and data loading, support for machine learning and deep learning model training.
Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus, this is primarily a Software Engineering position. Successful candidates are passionate about software and will have outstanding skills and hands on experience with development in C/C++ and Python in a Windows/Linux environment. Deep conceptual understanding of multi-threaded, multi process and distributed software systems is vital.
Crucial Skills
Object Oriented Design & Programming in Java or C++ Scripting languages like Java Script, Python; Data Structures and algorithms Linux System Programming Distributed systems
Desirable Skills
Cloud technologies for network, storage, containerization and compute clusters. Building and configuring Linux kernels, and designing and fixing network infrastructure; Linux Device Driver Development Understanding of various networking stacks GPU Architectures and CUDA (CuGraph, CuData, CuML etc). Distributing computing frameworks like Apache Spark, DASK; Creating the techniques and methods to integrate multiple hardware and software subsystems to seek sophisticated technical challenges;
Data science skills to acquire, transform and present data from various sources to build powerful debugging and analysis software
Qualifications
BS in Math, CS, Engineering or related field.
Minimum Qualifications
Bachelor's Level Degree and 0 years related work experienceAbout KLA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
Total Rewards
Base Pay Range: $0.00 - $0.00 Annually Primary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement
KLA is proud to be an Equal Opportunity Employer. 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. Please contact us at [email protected] or at +1-408-352-2808 to request accommodation.
For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.