招聘
福利待遇
•Healthcare
•401(k)
•Equity
•Learning
•Mental Health
•Parental Leave
必备技能
C++
GPU Programming
CUDA
Linux
Python
CMake
Makefile
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.
Group/Division
- KLA has always had a close relationship with physics and data. Our optical and electron beam inspection and measurement tools use cutting edge physics models, both for hardware design and as part of their algorithms. AI, including several traditional machine learning techniques and deep learning are routinely used to process this data to meet application requirements. The AI & Modeling Center of Excellence 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. The AI & Modeling Center of Excellence is part of the company’s Central Engineering organization providing product development expertise in a critical area for a wide variety KLA products. 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), Machine Learning, Deep Learning, Data Sciences, or cutting-edge Cloud technologies – this is the place for you!
Job Description/Preferred Qualifications
Sr. AI Infrastructure Software Engineer – C++ Focus
Love C++? Fascinated by GPUs? Curious about how AI frameworks with CUDA, Tensor Flow, JAX and Py Torch really work under the hood?
We’re building the next-gen software stack that powers the future of AI and we’re looking for sharp, curious engineers who want to get close to the product, and grow to the architect level. If you’re passionate about low system-level development, this is your chance to make a real impact in AI infrastructure.
You’ll work alongside a world-class team, top-notch architects, solving tough problems at the intersection of software and hardware, and growing your skills in a space that’s shaping the future of computing.
What You’ll Do:
- Design and implement core infrastructure components that support AI/ML workloads across multiple frameworks and hardware platforms.
- Write high-performance, maintainable C++ code for system-level software that interfaces directly with GPUs and low-level hardware.
- Collaborate with cross-functional teams to integrate AI frameworks into a unified development environment.
- Contribute to build systems and toolchains using Makefiles, CMake, Clang, and GCC.
- Learn from experienced engineers and grow into broader architectural and leadership responsibilities over time.
What We’re Looking For
- Degree in Computer Science, Electrical Engineering, or a related field.
- Strong C++ programming skills and solid software engineering fundamentals.
- Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
- Familiarity with build tools (Makefile, CMake) and compilers (Clang, GCC).
- Hands-on skills on Phyton programming.
- Bonus: Exposure to AI/ML frameworks like Tensor Flow, Py Torch, or JAX.
- Bonus: Experience with embedded systems or companies building physical products.
- Excellent attention to detail, planning, and execution skills—especially for multi-month projects.
- Strong communication skills and a collaborative, customer-focused mindset.
- A plus if you’ve transitioned from software development into technical project coordination or aspire to do so.
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
Base Pay Range: $166,700.00 - $283,400.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’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.
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 talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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关于KLA

KLA
PublicKLA Corporation is an American company based in Milpitas, California that makes wafer fab equipment. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries.
10,001+
员工数
Milpitas
总部位置
$47B
企业估值
评价
3.7
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.8
职业发展
3.5
管理层
3.2
65%
推荐给朋友
优点
Good salary and compensation
Great team culture and colleagues
Supportive management
缺点
Long hours and high workload
High expectations and tight deadlines
Limited growth opportunities
薪资范围
2个数据点
L4
L5
L4 · Data Scientist
0份报告
$147,667
年薪总额
基本工资
-
股票
-
奖金
-
$125,532
$169,802
面试经验
2次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
新闻动态
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