出海雷达

Engr, Software 1

开发工程限定地区(需当地身份)
公司KLA
薪资$38.66 - $65.73
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Part Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

为了制作电子产品,你需要芯片,晶圆,晶体管,网膜和...要做这些,你必须看到,测试并以规模更快和更好地制造它们。这就是 KLA 的重要作用所在。无论你是早期职业生涯还是经验丰富的专业人士,你都将解决复杂的挑战,与聪明的人一起工作,帮助塑造技术的未来。集团/部门半导体产品和客户 (Semi PC) 业务单位设计,构建和销售 KLA 产品组合,以帮助芯片制造商满足 AI,数据中心,汽车和电子设备等技术的高质量标准。我们的检查,计量和分析系统可以检测和监控逻辑和内存芯片,专业半导体,晶圆,网格,先进包装,工艺设备和材料中的缺陷。我们还开发用于专业工艺,IC 基板和 PCB 制造技术,包括蚀刻和沉积,组件检验以及成像和分析.KLA 的中央工程组织由九个卓越中心 (CoEs) 组成,涵盖自动化,运动控制,传感器,平台设计和包装等学科。每个 CoE 不仅贡献技术成果,还提供了深入的专业知识,最佳实践和先进工具,这些工具将提高我们构建的内容以及如何构建它。你会做什么 在这个角色中,你将通过在你的专业领域内开展高影响性工作来推动业务优先事项的重要作用。软件团队中的工程师将致力于建立和维护对大规模试验和部署 HPC 解决方案至关重要的基础设施。成功候选人鼓励参与其中的领域包括数据管理和数据加载,支持机器学习和深度学习模型培训。虽然熟悉机器学习和深度学习解决方案是一个巨大的优势,但这主要是软件工程职位。成功的候选人对软件充满热情,并且将在 Windows/Linux 环境中拥有出色的技能和经验,开发 C / C ++ 和 Python.多线程,多进程和分布式软件系统的深刻概念理解至关重要。

查看英文原文

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.

Group/Division
The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. KLA's Central Engineering organization is made up of nine Centers of Excellence (CoEs) spanning disciplines like automation, motion control, sensors, platform design, and packaging. Each CoE contributes not only technical deliverables but also deep expertise, best practices, and advanced tools that elevate both what we build—and how we build it.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.

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: $38.66 - $65.73 Per HourPrimary Location: USA-NY-Remote-US03KKLA’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 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.
Originally posted on Himalayas

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