TikTok is a discovery tool made just for you.

TikTok is a global platform for discovery, joy and endless possibilities — connecting and entertaining more than a billion people across more than 150 countries. 

TikTok's headquarters are in Los Angeles and Singapore, with additional offices in Austin, Dublin, Paris, Berlin, Dubai, Jakarta, Johannesburg, London, New York, Mexico City, Sao Paolo, San Jose, Seoul, Seattle, and Tokyo.

Industry: Entertainment Providers
Company Size: 10,001+ employees

TikTok

Savvy Admin PROD

**Responsibilities**

TikTok Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.

The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions.

About Team

Our social team's mission is to help people discover, build, and sustain meaningful connections. We design features that spark interactions, measure the health of relationships on our platform, and use experimentation and causal inference to ensure we’re improving outcomes that matter—quality conversations, trusted interactions, and highly retained relationships. You'll collaborate closely with Product, Engineering, and Trust & Safety to turn insights into experiences that make connecting easier and better.

What You’ll Do

- Participate in data science and data analysis work related to TikTok's UGC creation, social interaction, community interaction, photo-text business, deeply understand business logic and user needs, solve challenging problems in product and strategy optimization, and optimize user experience

- Design a reasonable metric system to measure the growth of the business, identify anomalies through monitoring, decomposition, and prediction of core metrics, and attribute them

- Measure the impact of strategies through quantitative analysis, statistical modeling, experimental design, causal analysis, etc., identify opportunities for business growth, and provide actionable iterative suggestions

- Work closely with product, algorithm, operations, research and development teams to advance projects together

**Qualifications**

Minimum Qualifications

- Master's degree or above, major in statistics, mathematics, economics, computer science, or related fields, with 2+ years of data analysis experience

- Proficient in quantitative analysis, solid foundation in statistics, familiar with A/B testing, causal inference, machine learning models, etc.

- Proficient in SQL, familiar with one or more tools in Python/R

Preferred Qualifications

- Strong logical thinking ability, self-driven, and strong cross-team communication and collaboration skills

- Experience in the internet industry preferred

- Understanding of recommendation systems, experience in analysis related to social platforms, photo&text communities, etc.

**About TikTok**

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

**Why Join Us**

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

**TikTok Accommodation**

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request​

**Job Information**

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $136800 - $292600 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​

3. Exercising sound judgment.​

Data Scientist - TikTok Social and Creation (San Jose)

Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.

The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Deloitte

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

Are you passionate about leading the charge in emerging technologies? Do you want to join an award-winning team offering diverse opportunities, from account executives and data scientists to AI strategists, machine learning experts, and data engineers? If so, the AI Engineering Manager at SFL Scientific might be the perfect fit. SFL Scientific, a Deloitte Business, is part of our broader Strategy Offering within the Strategy & Transactions practice. Our specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Join us to expand your technical career through leadership, consulting, and becoming an industry leader in the AI engineering community.

Recruiting for this role ends on 8/31/2026.

**Work You'll Do**

As an AI Engineering Manager you will support the design, development, and deployment of novel AI applications across healthcare, life sciences, manufacturing, consumer, energy, and other sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions.

In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities include but are not limited to:

-  Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications

-  Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies

-  Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases

-  Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives

-  Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem

-  Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns

-  Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions

-  Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization

-  Mentor, motivate, and coach junior members on technical best practices and inspire professional development

A successful candidate would possess these skills:

-  Ability to work independently and collaborate as part of a team

-  Effective written and verbal communication skills

-  Meticulous attention to detail and quality of work product

-  Ability to build and sustain professional relationships

-  Ability to lead projects or workstreams

-  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

-  Strong interpersonal skills and professional demeanor

-  Ability to meet deadlines

-  Ability to mentor and provide clear guidance to others

**The Team**

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

**Qualifications**

**Required:**

-  Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.)

-  6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment

-  6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)

-  6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.

-  4+ years of experience managing teams in technical delivery and delivering complex and critical projects

-  4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.

-  4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)

-  3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.

-  Live within commuting distance to one of Deloitte's consulting offices

-  Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

-  Limited immigration sponsorship may be available

**Preferred:**

-  Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field

-  AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)

-  2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

AI Engineering Manager - SFL Scientific

Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 

We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

Industry: Retail
Company Size: 10,001+ employees

Walmart

Position Summary...

What you'll do...

As part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems.

- Immigration Sponsorship is not available in this role

About Emerging Tech:

Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop.

As a Senior Data Scientist you will:

- Contribute as a hands-on builder focused on model development and rapid experimentation.

- Execute complex deep learning and multimodal modeling work with a production mindset.

- Partner closely with engineering to deploy, monitor, and iterate on models in production.

- Influence adjacent teams through strong technical judgment and collaboration.

- Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters.

Experience we are looking for:

- 3–6+ years in data science, deep learning, or applied ML.

- Proven, hands-on expertise with modern deep learning frameworks.

- Experience training, finetuning, and evaluating large models.

- Ability to work with large datasets and curate domain specific training data.

- Track record of close collaboration with engineering partners.

- Strong analytical skills and clear, concise communication.

- Research mindset with real world impact; publications are a plus, not a requirement.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

~~The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.~~

Your Career Journey at Walmart

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:

We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position.

If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

**For Information About Benefits And Eligibility, See One.Walmart.**

Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00

Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

-  Stock

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**Minimum Qualifications...**

~~Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.~~

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

**Preferred Qualifications...**

~~Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.~~

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Senior Data Scientists, Conversational AI

Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.

Industry: Software Development
Company Size: 10,001+ employees

Adobe

**The Opportunity**

We are seeking a Software Engineer to join the AEP Lakehouse team. In this position, you will contribute to constructing scalable, high-performance data systems that enable real-time customer intelligence. You will be involved in impactful projects, cooperate with experienced engineers, and get familiar with the latest data technologies in an encouraging setting. Perfect for those starting their careers wanting to advance in data and cloud expertise.

**What You’ll Do**

- Write clean, efficient, and well-tested code in Java, Scala, or Python.

- Contribute to the development of data pipelines and backend services for real-time and batch workloads.

- Work closely with senior engineers and data scientists to assist with analytics and use cases involving artificial intelligence.

- Participate in code reviews, testing, and release cycles to ensure high-quality software.

- Learn and apply cloud development practices (AWS or Azure).

- Solve issues and help improve system reliability and scalability.

**What You Bring**

- Bachelor’s degree or equivalent experience in Computer Science (or related field) with 1–3 years of software engineering experience (including internships and academic projects).

- Strong programming skills in at least one language such as Java, Python, or Scala.

- Interest in distributed systems, cloud infrastructure, or large-scale data processing.

- Problem-solving attitude, curiosity, and a collaborative approach to building solutions.

**Nice to Have (Optional)**

- Exposure to data frameworks such as Spark, Kafka, Flink, Apache Iceberg, or Delta Lake.

- Familiarity with containerized or cloud-native development (Kubernetes, Docker).

- Knowledge of databases, query engines, or analytics platforms.

**About Adobe**

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

**Let’s Adobe together**

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

**AI Use Guidelines for Interviews:**

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

**Expected Pay Range:**

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $93,200 -- $179,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $123,700 - $179,200

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

**State-Specific Notices:**

**California:**

**Fair Chance Ordinances**

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

**Colorado:**

**Application Window Notice**

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

**Massachusetts:**

**Massachusetts Legal Notice**

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Software Development Engineer

KLA 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 and printed circuit boards. 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.

Visit us at: www.kla.com

Statements made on LinkedIn may constitute forward-looking statements under federal securities laws.  These forward-looking statements involve risks and uncertainties that could significantly affect the expected results and are based on certain key assumptions. Due to such uncertainties and risks, no assurances can be given that such expectations will prove to have been correct, and readers are cautioned not to place undue reliance on such forward-looking statements, which speak only as of the date indicated. Other risks that KLA faces include those detailed in KLA filings with the Securities and Exchange Commission, including KLA's annual report on Form 10-K and quarterly reports on Form 10-Q.  Forward-looking statements made by third parties do not necessarily reflect the opinion of KLA, are outside of KLA’s control and have not been verified or otherwise vetted by KLA.

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

**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**

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

**Job Description/Preferred Qualifications**

We are looking for a Systems Engineer who is motivated to work at the intersection of experimental science, sophisticated systems, and real-world product development. This is a highly hands-on role! If you enjoy being in the lab, working directly on tools, and learning by building, testing, and troubleshooting, this is for you. You will partner with experienced engineers to help develop next-generation electron-beam imaging systems, contributing across the full product lifecycle, from early prototypes to first customer deployments. This role is designed for someone who is curious, proactive, and eager to learn how sophisticated systems come together across hardware, software, and applications.

**What You’ll Do**

- Build & Test Systems: Support design, integration, and validation of subsystems and full systems

- Run Experiments: Set up experiments, collect data, and analyze results to understand system behavior

- Troubleshoot Issues: Diagnose problems, identify root causes, and help implement solutions

- Collaborate Across Teams: Work with mechanical, electrical, software, and algorithm engineers

- Support Prototypes & Field Systems: Assist with early builds, system readiness, and customer-facing tools

- Continuously Improve: Contribute ideas to enhance performance, reliability, and test methods

**Required Qualifications:**

- Advanced Degree in Physics, Engineering Physics, Engineering Design, Mechanical Engineering, Electrical Engineering, Materials or Metallurgical Engineering

- Proven track record to set up experiments, perform modeling and data analysis, and solve complex technical problems

- Hands-on experience in experimental or lab environments (research, internships, or industry)

- Experience with machine control and/or scientific data analysis

- Proficiency in scripting (MATLAB, Python, or similar) for data collection and analysis

- Strong communication, interpersonal skills, and ability to create effective technical presentations

**Preferred:**

- Knowledge of instrumentation, signal processing, and optical/electro-optical systems (e.g., electron microscopes)

- Exposure to vacuum systems, electron optics, and high-voltage systems (SEM or similar)

- Experience supporting prototype systems or advanced lab equipment

**Ideal Candidate:**

- Curious, hands-on, and motivated to learn by doing

- Enjoys building, testing, and improving real systems

- Brings examples of solving technical challenges through experimentation

- Thrives in collaborative, fast-paced environments

**Minimum Qualifications**

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Base Pay Range: $117,800.00 - $200,300.00 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.

Systems Engineer (Electron Beam)

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