algorithm design engineer

Apple

<div>Computational photography, live language translation, and countless other on-device AI<br>
<br>
capabilities depend on moving enormous amounts of data between memory and compute at<br>
<br>
exactly the right time. As part of our Silicon Engineering Group, you will own the design<br>
<br>
of high-performance DMA engines responsible for moving model weights and activation tensors<br>
<br>
between the memory subsystem and the Apple Neural Engine.<br>
<br>
In this role, you will take end-to-end ownership of DMA subsystem blocks and collaborate<br>
<br>
closely with architecture and verification teams across the full front-end design cycle.<br>
<br>
The work you deliver ships in Apple products used by billions of people every day.<br>
<br>
<b>Description</b><br>
<br>
As an ASIC Design Engineer on the ANE DMA Design team, you will own the design of DMA<br>
<br>
subsystem blocks from microarchitecture specification through tapeout. ANE DMA's scale<br>
<br>
and complexity means grappling with: fetch sequencing, out-of-order response management,<br>
<br>
memory system back-pressure, address translation integration, and pipeline hazard<br>
<br>
resolution. In this front-end design role, your work will include:<br>
<br>
<ul><li>Taking end-to-end ownership of DMA blocks through the full cycle: microarchitecture</li></ul><br>
specification, RTL implementation, front-end signoff (synthesis, timing<br>
<br>
closure, area and power analysis, linting, LEC), and design verification closure.<br>
<br>
<ul><li>Writing well-parameterized RTL structured for correct synthesis, clean timing, and low</li></ul><br>
power, along with assertions and cover points that encode design intent and ensure<br>
<br>
verification completeness.<br>
<br>
<ul><li>Collaborating with fellow designers, architecture, and physical implementation teams to</li></ul><br>
explore microarchitectural trade-offs and drive solutions that meet performance, power,<br>
<br>
and area targets.<br>
<br>
<ul><li>Working closely with design verification and formal verification teams to ensure</li></ul><br>
functional correctness: reviewing test plans, debugging failures, and ensuring the<br>
<br>
design's intended behavior is fully exercised.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience designing SoC front-end RTL in Verilog or SystemVerilog through at least<br>
<br>
one tapeout, including tasks such as synthesis, timing closure, area and power analysis,<br>
<br>
linting, and logic equivalence checks.<br>
<br>
Experience designing DMA microarchitecture: address sequencing, flow control,<br>
<br>
arbitration, or transaction ordering.<br>
<br>
Experience with on-chip bus protocols (AMBA AXI, AHB, APB) and on-chip interconnect<br>
<br>
fabrics.<br>
<br>
Background in adjacent domains: hardware compression, networking SoCs, image and video<br>
<br>
processing, multimedia, or AI/ML accelerators.<br>
<br>
Experience writing precise micro-architectural specifications.<br>
<br>
Familiarity with scripting languages (Python, Perl, Tcl) for design automation.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors Degree plus 3 years of industry experience<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

ASIC Design Engineer - Neural Engine DMA

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role : Gen AI Engineer
<br>
Location : Chennai, Hyderabad &amp; Pune
<br>
Experience range : 6 to 10 years
<br>
<br>
1. Proficiency in programming languages like Python, and AI/ML frameworks such as TensorFlow and PyTorch Cloud Platforms: Experience with platforms like Azure AI Foundry and related services such as Azure OpenAI, Azure AI Search, and Azure service.
</div><div>2. Experience with AI/ML concepts, including deep learning, natural language processing (NLP), and related algorithms.
</div><div>3. Familiarity with large language model (LLM) frameworks like Langchain.
</div><div>4. Experience with cloud platforms and AI services (e.g., Azure Cognitive Services, AWS SageMaker).
</div><div>5. Frameworks: Experience with agentic frameworks and building automated workflows<br>
</div></div></div></div><div></div><br>
<div><div><div>Location
</div><div>Chennai
</div></div><div><div>Job Function
</div><div>IT INFRASTRUCTURE SERVICES
</div></div><div><div>Role
</div><div>Engineer
</div></div><div><div>Job Id
</div><div>419363
</div></div><div><div>Desired Skills
</div><div>Artificial Intelligence | Python
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

GEN AI Enginner

Copperleaf Technologies Inc.

<p></p><div><div><div><div><h2 class="jobSectionHeader"><b>Company Description</b></h2></div><div><p>
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.</p><p>
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but also on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.</p><p>
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.</p><p>
By joining our team, you will have the opportunity to be part of a <b>global, diverse environment;</b> you will be joining a <b>winning team</b> with a <b>commitment to sustainability;</b> and a company where we get things done so that you can <b>make a positive impact</b> on the world.</p><p>
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can <b>#MakeYourMoment</b> so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.</p><p>
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2></div><div><p><b>
About the Role</b></p><p>
As a Forward Deployed AI Engineer, you&rsquo;ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You&rsquo;ll lead the design and deployment of intelligent agents across customer workflows&mdash;owning everything from discovery and prototyping to configuration, testing, and launch.</p><p>
This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer&rsquo;s needs&mdash;ensuring rapid value delivery and laying the foundation for long-term success.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows</li><li>
 Integrate IFS Loops platform with customer systems</li><li>
Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)</li><li>
Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption</li><li>
Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap</li><li>
Document technical decisions and hand off stable deployments to customer engineering or support teams</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p><b>
What We&rsquo;re Looking For</b></p><ul><li>
2&ndash;5 years of experience in a software engineering, solutions engineering, or ML deployment role</li><li>
Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)</li><li>
Familiarity with building LLM applications, RAG systems, or conversational AI workflows</li><li>
Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)</li><li>
Ability to translate business problems into technical solutions&mdash;and deliver them fast</li><li>
Strong interpersonal skills; you&rsquo;re just as comfortable on a whiteboard with a customer as you are in code</li><li>
Bias toward action, ownership, and continuous learning in dynamic environments</li></ul><p><b>
Nice to Have</b></p><ul><li>
Background in SaaS, customer experience, support operations, or manufacturing systems</li><li>
Experience deploying AI in mission-critical environments</li><li>
Prior work with enterprise AI platforms or multi-agent orchestration</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><div><p><b>
What We&rsquo;re Offering</b></p><ul><li>
Salary Range: List $150,000 to $170,000 annually + bonus</li><li>
Flexible paid time off, including sick and holiday</li><li>
 Medical, dental, &amp; vision insurance</li><li>
 401K with Company contribution</li><li>
 Flexible spending accounts</li><li>
 Life insurance and disability benefits</li><li>
 Tuition assistance</li><li>
 Community involvement and volunteering events</li></ul><p></p><p><br>
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs</p><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer</p></div></div></div><br>
<p></p>
<div><div><p>
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply</p></div></div></div>

Forward Deployed AI Engineer: IFS Loops

Siemens

<div><p><b>Hello Visionary!</b></p>
<p>
We empower our people to stay resilient and relevant in a constantly changing world. We&rsquo;re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you&rsquo;d make a great addition to our vibrant international team.</p>
<p><b>
We are looking for Senior AI Solution Architect / Engineer</b></p>
<p><b>
You&rsquo;ll break new ground by:</b></p>
<ul>
<li>Demonstrated end-to-end expertise in designing, architecting, and implementing GenAI solutions&mdash;especially those leveraging RAG, agent frameworks and reusable components / API's and MCP server.</li>
<li>Production deployment expertise on at least one of the following platforms: AWS, Azure, Google Cloud, or Snowflake.</li>
<li>Long-term development and lifecycle management of GenAI solutions, focusing on innovation, sustainability and operational excellence.</li>
<li>Strategic thinking and visionary leadership in GenAI adoption.</li>
<li>Stakeholder management and cross-functional communication.</li>
</ul>
<p><b>You&rsquo;re excited to build on your existing expertise, including:</b></p>
<ul>
<li>I have a bachelor&rsquo;s degree with more than 5 years in solution architecture with a focus on generative AI, agent-based systems, and business consulting for GenAI solutions.</li>
<li>Strong software engineering skills building and operating GenAI solutions.</li>
<li>Deep experience consulting on business and technical requirements for GenAI and agent solution projects.</li>
<li>Architecture of scalable GenAI platforms, integrating LLMs, agent frameworks (LangGraph, ADK, etc.), and vector databases.</li>
<li>Familiarity with best practices in operationalizing GenAI, such as prompt engineering, model evaluation, and compliance.</li>
<li>Ability to mentor and guide teams through complex GenAI challenges.</li>
<li>Excellent written and verbal communication, suitable for both technical and business audiences.</li>
<li>Use-Case consulting skills for GenAI projects</li>
</ul>
<p><b>Create a better #TomorrowWithUs!</b></p>
<p>
This role is based in Pune/Bangalore, where you&rsquo;ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.</p>
<p>
We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.</p>
<p>
We&rsquo;re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.</p>
<p><b>
Find out more about Siemens careers at: </b><b>www.siemens.com/careers</b></p>
<p><b>
Find out more about the Digital world of Siemens here:</b></p>
<p><b>
www.siemens.com/careers/digitalminds</b></p></div>

AI Solution Engineer

Dezzex

<p>Who we are?</p><p>Dezzex uses Artificial Intelligence and Machine Learning technologies to advance the motor insurance industry by creating a system to automate claims. We use these technologies to improve insurance processes, reduce operational costs and enable a seamless customer experience. Our solution offering is also designed for the insurance companies, Insurance companies, Smart cities application.</p><p>For applying as a Sr. Machine Learning Engineer, the person should have overall 7-8 years of experience out of which 4-5 years of experience should be in Machine &amp; Deep Machine learning. Especially using Convolution Neural Network (CNN), Image Analytics TensorFlow, Open CV etc.</p><p>For applying as just a data scientist (Junior), the person needs to have experience of 3 - 9 years.</p><p>With our fast-growing data scientist's team, we are looking to hire self-motivated smart individuals who are willing to take challenges in the field of Al image &amp; video analytics &amp; machine learning.</p><p>Responsibilities:</p><p>The Machine &amp; Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.</p><p>The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) &amp; ML solutions based on our reference architecture which is underpinned by big data &amp; cloud technology, micro-service architecture and high performing compute infrastructure.</p><p>Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.</p><p>Required Skills:</p><p>An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.</p><p>Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and<br/>open source libraries</p><p>Strong coding skills and fundamentals in data structures, predictive modelling and big data concepts Experience in designing full stack ML solutions in a distributed compute environment</p><p>Experience working with Python, Tensor Flow, Kera's, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organization</p><p>Pay: AED10,000.00 - AED20,000.00 per month</p><p>Experience:</p><ul><li>ML: 3 years (Required)</li><li>Development: 5 years (Required)</li></ul><p>Language:</p><ul><li>Arabic (Preferred)</li></ul><p>Work Location: In person</p>

Sr. Machine learning engineer.

osapiens

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers. For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation.<br>
<br>
Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.</div><h3 class="jobSectionHeader"><b><br>
Your Responsibilities</b></h3><div><br>
We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will...<br>
</div><ul><li>Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics</li>
<li>Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing</li>
<li>Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems</li>
<li>optimize and scale data and analytics pipelines</li>
<li>Analyze, interpret, and monitor performance from production data analytics pipelines</li></ul><br>
<h3 class="jobSectionHeader"><b>
Your Experience</b></h3><br>
<ul>
<li>
Current studies in engineering, mathematics, computer science or similar.</li>
<li>Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems.</li>
<li>Track record of solving quantitative problems with algorithms and data</li>
<li>Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Join us for this and more...</b></h3><br>
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a <b>fast-growing unicorn company</b>
</li><li>A <b>high-impact internship</b> with responsibility from day one and direct collaboration with experienced leaders.</li>
<li><b>Hands-on project ownership</b> and the chance to design processes that scale across our global customer base.</li>
<li>A modern <b>Munich office </b>with flexible hybrid work options, open team culture, and flat hierarchies.</li>
<li>Regular team events and knowledge-sharing sessions.</li>
<li>And of course &ndash; free drinks and snacks to keep you energized during your day.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About osapiens</b></h3><div>
<b>osapiens</b> develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the <b>osapiens HUB</b>, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.<br>
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, <b>osapiens</b> works with <b>around 2,500 companies in over 50 countries</b> across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by <b>Goldman Sachs</b> and <b>Decarbonization Partners</b>, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Internship: Machine Learning (m/f/x)

<div><div><div><div><div><div><div><div><p><b>Company Overview
</b></p></div></div></div></div></div></div></div>Filmetrics, a KLA company, is the market leader in 3D optical surface profiling and thin-film thickness measurement systems. Filmetrics products combine innovative hardware solutions with intuitive, easy to use software, tied together with a pioneering online platform. Filmetrics is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
<p></p><p><b>Job </b><b>Description/Preferred </b><b>Qualifications
</b></p><p>As a Senior Software Engineer focused on architecture and algorithms, you will define the software architecture and design the core measurement, data-analysis, and signal/image-processing algorithms that power our families of surface profiler, thin film, sheet resistance and nanoindentation measurement instruments, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL.</p>
<p></p><p><b>Responsibilities:
</b></p><ul><li>Deliver well-defined features/components with high-level guidance: estimate work, communicate risks/tradeoffs, and deliver on schedule</li>
<li>Own and evolve the software architecture across the development lifecycle&mdash;defining system- and subsystem-level requirements, interfaces, and specifications, and guiding key design decisions</li>
<li>Design, implement, and optimize core algorithms for measurement, data analysis, and signal/image processing, including numerical methods and high-performance multithreaded code</li>
<li>Develop C#/.NET and C++ software for data analysis and algorithm implementation; write maintainable, well-structured code and use AI-assisted tools responsibly under company security policies</li>
<li>Evaluate and compare algorithmic approaches through prototyping, benchmarking, and analysis of accuracy, precision, and computational complexity</li>
<li>Build robust unit/integration tests and use profiling to improve algorithm performance, accuracy, memory usage, reliability, and security</li>
<li>Participate in design reviews and incorporate feedback from stakeholders and subject matter experts</li>
<li>Troubleshoot system/subsystem issues using logs and experiments; contribute to root-cause analysis, implement fixes with guidance, and help prevent recurrence</li>
<li>Demonstrate motivation to independently learn and apply new software technologies</li>
</ul><p></p><p>Travel - Occasional travel may be required to KLA headquarters, customer sites, or other business locations. Travel is expected to be less than 10% of working time.</p>
<p></p><p><b>Qualifications:
</b></p><ul><li>Bachelor&rsquo;s degree (required) + Significant relevant experience; Master&rsquo;s or advanced degree (desired) + relevant experience in Computer Science, Software, Electrical, Industrial, or Manufacturing Engineering, Physics, or Mathematics.</li>
<li>A solid understanding and demonstrated track record in the practice of software engineering fundamentals, including software architecture, data structures, algorithms, design patterns, event-driven design, multithreaded design, testing, and debugging.</li>
<li>Strong foundation in algorithms and numerical methods, with the ability to design, analyze, and optimize algorithms for accuracy and performance</li>
<li>Experience with:
<ul><li>Microsoft .NET languages including VB.NET and C#</li>
<li>C++ programming</li>
<li>Microsoft Visual Studio development environment</li>
<li>Source code control systems such as Git</li>
<li>Adherence to software design and coding standards</li>
</ul></li><li>Ability to communicate effectively with peers, interdisciplinary engineering groups, customers, and suppliers, including delivering clear technical presentations</li>
<li>Adept at collaborating with teams across the US, Europe, and Asia</li>
<li>Self-driven individual with strong technical ability, a systematic approach, and excellent problem-solving skills</li>
</ul><p></p><p><b>Preferred:
</b></p><ul><li>Experience contributing to architecture and design for complex subsystems and influencing technical decisions through strong design and code reviews</li>
<li>Experience developing scientific, measurement, or signal/image-processing algorithms</li>
<li>Background in applied mathematics, numerical methods, statistics, or scientific computing</li>
<li>Experience improving performance and diagnostics/observability for system-level software</li>
<li>Experience collaborating across teams on system integration and software releases for complex systems</li>
<li>Experience delivering AI/ML capabilities in products</li>
<li>UX skills including wireframing, prototyping, and user flow design</li>
</ul><p></p><p><b>What we will offer you?
</b></p><p><b>KLA&rsquo;s benefits package includes:
</b></p><p>Annual leave starting at 25 days (plus bank holidays), contributory pension scheme, cash health plan, cycle to work scheme, global bonus plan, share scheme, rewards scheme and life assurance</p>
<p></p><p><b>Minimum Qualifications
</b></p><p></p><p>Doctorate (Academic) Degree and related work experience; Master's Level Degree and related work experience; Bachelor's Level Degree and related work experience</p>
<p></p><p><i>We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
</i></p><p></p><p><i>KLA is proud to be an equal opportunity employer
</i></p><p></p><p>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&rsquo;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.</p></div>

Senior Software Engineer, Architecture & Algorithms

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