algorithm developer

Applied Materials

<div><p><b>Who We Are<br>
</b></p><br>
<p>Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world&rsquo;s technology.</p><br>
<br>
<p><b>What We Offer<br>
</b></p><br>
<p>Location:</p>
Chennai,IND
<p></p><p>You&rsquo;ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible&mdash;while learning every day in a supportive leading global company. Visit our Careers website to learn more.</p>
<p></p><p>At Applied Materials, we care about the health and wellbeing of our employees. We&rsquo;re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .</p>
<p></p><p><b>Key Responsibilities
</b></p><p>Develop an algorithmic major module or flow, a Matlab (system or product) major module or flow, or characterize and lead field driven algorithmic features (R&amp;D extension) including research, design, development and implementation &amp; proliferation accompanying in accordance with project budgets and time schedules.</p>
<p>Perform algorithmic C&amp;F for a major algorithmic feature or flow, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains</p>
<p>Construct a algorithmic work plan for algorithmic module or flow owned by him</p>
<p>Document algorithmic development, plan and accompany implementation, integration and testing of an algorithmic module or flow</p>
<p>Interact with internal and external customers to analyze gaps, define and plan activities, collect data and accompany integration, testing and proliferation of algorithmic solutions</p>
<p>Understand and act according to system and applicative environment regarding module and flow development. Take part in system definitions</p>
<p>Act as a technical tutor and instructor regarding areas of expertise. Guide algorithm developers working with him on same module or flow</p>
<p>Evaluate new technology and analyze competitor's technology within area of expertise</p>
<p></p><p><b>Functional Knowledge
</b></p><ul><li>Demonstrates depth and/or breadth of expertise in own specialized discipline or field</li>
</ul><p></p><p><b>Business Expertise
</b></p><ul><li>Interprets internal/external business challenges and recommends best practices to improve products, processes or services</li>
</ul><p></p><p><b>Leadership
</b></p><ul><li>May lead functional teams or projects with moderate resource requirements, risk, and/or complexity</li>
</ul><p></p><p><b>Problem Solving
</b></p><ul><li>Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions</li>
</ul><p></p><p><b>Impact
</b></p><ul><li>Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies</li>
</ul><p></p><p><b>Interpersonal Skills
</b></p><ul><li>Communicates difficult concepts and negotiates with others to adopt a different point of view</li>
</ul><p></p><p><b>Additional Information
</b></p><p></p><p><b>Time Type:
</b></p>Full time
<p></p><p><b>Employee Type:
</b></p>Assignee / Regular
<p></p><p><b>Travel:
</b></p>Yes, 10% of the Time
<p></p><p><b>Relocation Eligible:
</b></p>Yes
<p></p><p>Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.</p></div>

Algorithm Developer

<div><div><div><div><div><div><div><div><p><b>Company Overview
</b></p></div></div></div></div></div></div></div>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&amp;D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world&rsquo;s leading technology providers to accelerate the delivery of tomorrow&rsquo;s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
<p></p><p><b>Job </b><b>Description/Preferred </b><b>Qualifications
</b></p><ul><li>Own AI / algorithm (ML, DL, LLMs) solutions</li>
<li>Influence AI roadmap aligned with product and business goals</li>
<li>Actively contribute hands-on to design, development, and implementation of AI solutions</li>
<li>Own delivery of AI solutions&mdash;from research and prototyping to production deployment</li>
<li>Guide architecture and design of AI systems integrated into Frontline products</li>
<li>Drive adoption of advanced AI techniques (LLMs, RAG, Generative AI)</li>
<li>Collaborate closely with software, product, and application teams</li>
<li>Mentor engineers and grow technical leadership within the team</li>
<li>Ensure high engineering standards, scalability, and production readiness</li>
</ul><p></p><p><b>Minimum Qualifications
</b></p><p></p><ul><li>BSc/MSc in Computer Science, Mathematics, or related field</li>
<li>4+ years of experience in AI / Machine Learning / Deep Learning/ Algorithm development</li>
<li>Strong hands-on experience developing and delivering AI/ML solutions (required)</li>
<li>Strong background in ML/Deep Learning (coding and system design)</li>
<li>Strong software engineering skills (Python, C++ or similar)</li>
<li>Experience building and deploying production-grade AI systems</li>
<li>Excellent problem-solving and decision-making skills</li>
<li>Strong communication and leadership abilities</li>
</ul><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>

Algorithm Engineer (AI/ML/Algo)

NVIDIA

<div><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.Come join the team and see how you can make a lasting impact on the world.</p><p></p><p>
We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products.</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Design, build and optimize agentic AI systems for the CUDA ecosystem.</p></li><li><p>
Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.</p></li><li><p>
Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.</p></li><li><p>
Collaborate across the AI stack&mdash;from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving&mdash;and with model/agent teams.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.</p></li><li><p>
3 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.</p></li><li><p>
Strong C/C++ and Python programming skills; solid software engineering fundamentals.</p></li><li><p>
Experience with GPU programming and performance optimization (CUDA or equivalent).</p></li></ul><p></p><p><b>
Ways To Stand Out From The Crowd:</b></p><ul><li><p>
Strong experience in building/evaluating deep learning models, coding agents and developer tooling.</p></li><li><p>
Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.</p></li><li><p>
Demonstrated ability in GPU performance optimizations, evidenced by benchmark wins or published results.</p></li><li><p>
Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.</p></li></ul><p></p><p>
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until September 1, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Senior AI Engineer, High Performance AI

Manpower Internal

<div><div>Data Scientist - 0034641
</div><div>US-WI-Milwaukee
</div><div>Worker Location: Hybrid
</div><div><h2 class="jobSectionHeader"><b>Description</b><b><br>
</b></h2><p>The Data Scientist serves as a solution developer within the North America Regional Product-Oriented Delivery (POD) team, designing and validating advanced analytical and machine learning solutions that deepen understanding of the business, identify opportunities, and solve complex problems. The role translates business challenges into mathematical and statistical models, works with Data Engineering and IT partners to prepare enterprise data, and partners with Enterprise Technology AI Platform, MLOps, Architecture, Security, Compliance, and Operations teams to move governed solutions through the AI/ML lifecycle.</p>
<div>Details
<br>
Making an Impact
<br>
<ul><li>Design and create experimental analytical and machine learning solutions that quantify variable impacts on desired business outcomes using statistical, mathematical, and AI techniques.
</li><li>Translate complex business problems into predictive, prescriptive, optimization, and decision models that can be implemented, validated, and automated.
</li><li>Work with IT partners and Data Engineers to define data requirements and create integration and preparation pipelines that merge large structured and unstructured datasets for advanced analytics.
</li><li>Lead model design activities, including algorithm selection, feature engineering, experiment design, model training, hyperparameter tuning, testing, validation, and performance optimization.
</li><li>Design and build predictive models using principles that enhance traceability, reproducibility, relevance, explainability, and trustworthiness.
</li><li>Apply responsible AI controls, including documented evaluation criteria, robustness testing, bias and fairness assessment, explainability, and validation reporting.
</li><li>Create documentation supporting business justification, model design, validation, model cards, lineage, governance review, and audit evidence.</li></ul></div>
<div>Sharing Expertise
<br>
<ul><li>Proactively identify and frame critical, yet undefined, business problems as measurable analytical or AI use cases.
</li><li>Provide data science expertise to the North America Regional POD and clearly communicate analytical methods, assumptions, limitations, and recommendations.
</li><li>Develop reusable analytical assets, code, documentation, and practices that accelerate delivery and support consistent model quality.
</li><li>Transform data science insights into scalable analytical products and decision-support capabilities for business functions.</li></ul></div>
<div>Gaining Exposure
<br>
<ul><li>Collaborate with business leaders, product owners, Data Engineers, architects, and cross-functional partners of varying technical levels.
</li><li>Work within the Enterprise AI Industrialization framework with Enterprise Technology AI Platform, MLOps, DevOps, Security, Compliance, Architecture, Infrastructure, and Operations teams.
</li><li>Participate in solution architecture, governance, production-readiness, user acceptance testing, production validation, and post-deployment performance discussions.
</li><li>Translate complex findings and model results into a compelling narrative for non-technical stakeholders and decision makers.</li></ul></div>
<div>Your Typical Day
<br>
<ul><li>Partner with North America stakeholders to define AI and advanced analytics use cases, expected business value, success criteria, data needs, assumptions, and risks.
</li><li>Explore, prepare, and analyze large datasets; engineer features; design experiments; and program statistical, machine learning, and optimization models.
</li><li>Collaborate with Data Engineering and IT teams on approved data acquisition, integration, quality, preprocessing, metadata, and lineage requirements.
</li><li>Develop, test, validate, tune, and document models, including experiment results, performance thresholds, explainability, bias and fairness considerations, and model limitations.
</li><li>Partner with Enterprise Technology AI Platform and MLOps teams on environment readiness, versioning, CI/CD enablement, deployment requirements, monitoring configuration, and governed production promotion.
</li><li>Participate in user acceptance testing and production validation; review model performance, drift or degradation alerts, and retraining or issue-resolution needs with Operations and governance partners.
</li><li>Maintain model design documentation, validation reports, model cards, audit evidence, and other lifecycle artifacts required by enterprise standards.
</li><li>Travel 5% or less.
</li></ul>Other accountabilities as assigned</div>
<p>Leverage and effectively use AI-enabled tools, technologies, and digital solutions, consistent with organizational policies and role requirements, to enhance effectiveness, efficiency, and decision-making. Apply appropriate human judgment, accountability, and ethical considerations in all technology-supported work in alignment with our Human First, Digital Always philosophy<br>
<br>
</p></div><p></p><div><h2 class="jobSectionHeader"><b>Qualifications</b><b><br>
</b></h2><div>Required
<br>
<ul><li>3+ years of relevant experience in Data Science, Machine Learning, Applied Statistics, Operations Research, Advanced Analytics, or a closely related field.
</li><li>Technical: Proficiency in SQL and programming techniques and tools (Python, R); Cloud computing platforms: Azure, Snowflake; Machine Learning and Advanced Analytics: predictive modeling, classification, regression, clustering, feature engineering, experiment design, model validation, and performance optimization; NLP skills including tokenization, sentiment analysis, and embeddings; Model Optimization: model tuning, hyperparameter adjustment, explainability, bias and fairness testing, reproducibility, monitoring, drift assessment, and model lifecycle management; Experience collaborating with Data Engineering, IT, Architecture, DevOps/MLOps, Product, and business stakeholders within Agile or Product-Oriented Delivery (POD) environments
</li><li>Education: Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, Data Science, Operations Research, or related quantitative field, or equivalent experience</li></ul></div>
<div>Nice to Have
<br>
<ul><li>Graduate degree in data science, statistics, computer science, economics, operations research, or another quantitative field.
</li><li>Experience with Azure Machine Learning, MLflow, Azure DevOps, containerized deployment patterns, or model observability tooling.
</li><li>Experience with LLMs, Generative AI, embeddings, retrieval-augmented generation, or related evaluation practices.
</li><li>Experience producing model cards, algorithm validation reports, governance submissions, or audit-ready AI documentation.</li></ul></div><br>
<p></p><p>ManpowerGroup is proud to be an equal opportunity affirmative action workplace. We celebrate diversity and are committed to providing an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, citizenship, marital status, pregnancy (including childbirth, lactation and related medical conditions), age, gender, gender identity or expression, sexual orientation, protected veteran status, political ideology, ancestry, the presence of any physical, sensory, or mental disabilities, or other legally protected status.</p>
<p>A strong commitment is made by each employee and is necessary to ensure equal employment opportunity for all. ManpowerGroup is an inclusive workplace that will recruit, hire, train, and promote persons of all job titles, and ensure all other personnel actions are administered without regard to non-merit-based characteristics of individuals.</p>
<p>Reasonable accommodation during the interview process can be provided. Contact talentacquisition@manpowergroup.com for assistance.</p>
</div><div>Potential Salary Range: $100,000
</div><div><h2 class="jobSectionHeader"><b>Travel</b></h2>
: No
</div><div><h2 class="jobSectionHeader"><b>Organization</b></h2>
: ManpowerGroup
</div><div><h2 class="jobSectionHeader"><b>Job</b></h2>
: Other</div></div>

Data Scientist - 0034641

Hyland

<div>Overview:
<h1 class="jobSectionHeader"><b>Senior Developer</b></h1><p><b>
 Location:</b> Hyderabad, India | <b>Hybrid &ndash; 2 Days in the Office</b></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
The Senior Developer is responsible for the overall performance of the product by applying principles of software engineering to the design, development, maintenance, testing, and evaluation of software. In this role, you will ensure the timely delivery of high-quality software within release timelines and guidelines &mdash; while providing technical leadership, mentorship, and strategic guidance to the broader engineering team.</p><p>
This is a role for a seasoned engineer who thinks beyond the code &mdash; someone who understands business impact, drives technical excellence, and raises the bar for those around them.</p><h2 class="jobSectionHeader"><b>
Your Role Responsibilities? Here's What You'll Do.</b></h2><ul><li>
Develop complex code based on functional specifications; complete logic and algorithm design in alignment with established standards, translating software requirements into design specifications while ensuring full adherence to technical and business requirements.</li><li>
Perform complex peer code reviews and analysis; provide insight on the broader impact of software changes, incorporate business value into technical decisions, and influence and guide other team members toward scalable, maintainable solutions.</li><li>
Create and apply automated tests and test principles &mdash; including unit tests &mdash; to software changes, and contribute to the implementation of a delivery pipeline encompassing test automation, security, and performance standards.</li><li>
Research and resolve complex escalations for production issues and software code defects to ensure application stability; implement development standards that ensure compliance with product and industry practices and regulations.</li><li>
Influence and lead on team standards and processes including planning, work estimation, solution demos, reviews, and implementation design discussions, driving continuous improvement across the engineering team.</li><li>
Mentor, coach, train, and provide feedback to team members; understand business applications and coding tasks to make recommendations for internal process improvements and product documentation.</li></ul><h2 class="jobSectionHeader"><b>
Technology Tools You'll Use</b></h2><p><b>
Programming Languages</b></p><ul><li>
Java, C/C++, C#, Objective-C, Python, JavaScript</li></ul><p><b>
Development Environments</b></p><ul><li>
Windows, Linux, Open Source Tools &amp; Platforms</li></ul><p><b>
Build &amp; Delivery</b></p><ul><li>
Build Environments, Delivery Pipelines, Continuous Software Delivery</li></ul><p><b>
Testing &amp; Quality</b></p><ul><li>
Test Automation Frameworks, Continuous Integration Tools, Software Application Testing Tools &amp; Methodologies</li></ul><h2 class="jobSectionHeader"><b>
Role Essentials</b></h2><ul><li><b>
Bachelor's degree or equivalent experience</b> with <b>6&ndash;10 years of software engineering experience</b>; demonstrated expertise in data structures, algorithms, and software design principles applied to complex, production-grade software systems.</li><li><b>
Significant experience with one or more general-purpose programming languages</b> including <b>Java, C/C++, C#, Objective-C, Python, or JavaScript</b>, with demonstrated experience working in <b>Windows/Linux development environments</b> using open source tools and platforms.</li><li><b>
Demonstrated experience with build environments, delivery pipelines, and continuous software delivery</b>, with hands-on proficiency in test automation, continuous integration tools, and software application testing methodologies and process frameworks.</li><li><b>
Strong oral and written communication skills</b> with a professional demeanor; strong collaboration skills applied successfully across all levels of the organization, with a proven ability to influence, motivate, and mobilize team members and business partners.</li><li><b>
Strong critical thinking and problem-solving skills</b>; self-motivated with the ability to manage complex projects to completion with minimal oversight, and a demonstrated ability to establish rapport, gain trust, and drive consensus across cross-functional teams.</li></ul><h2 class="jobSectionHeader"><b>
What We'd Like to See</b></h2><ul><li><b>
Proven ability to mentor, coach, and develop engineering talent</b>, including providing technical and constructive feedback to team members and contributing performance insights and observations to leadership.</li><li><b>
Strong ability to translate strategic goals into the implementation of new ideas and design solutions</b> using original thinking, with experience recommending internal process improvements and contributing meaningfully to product documentation.</li><li><b>
Intellectually curious, passionate, and driven to learn</b> &mdash; a sharp, fast learner with strong technology curiosity, aptitude, and a demonstrated commitment to staying current professionally in a rapidly evolving engineering landscape.</li><li><b>
Good ability to establish rapport, gain trust, and achieve consensus</b> effectively across cross-functional teams, stakeholders, and all levels of the organization, with a collaborative and solutions-oriented approach to technical challenges.</li><li><b>
Flexibility to support up to 10% travel</b> for in-person collaboration, team engagements, or project needs, with an openness to working across distributed teams and time zones as required.</li></ul><h2 class="jobSectionHeader"><b>
About Hyland</b></h2><p>
Hyland is the pioneer of the Content Innovation Cloud&trade;, delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation.</p><p>
&copy; Hyland. All rights reserved.</p><p>
Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland's platform and services, please visit Hyland.com.</p><h2 class="jobSectionHeader"><b>
#HylandLife</b></h2><p>
Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do &ndash; whether it's helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.</p><p>
The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.</p><p>
As we've grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.</p><h2 class="jobSectionHeader"><b>
Equal Opportunity Statement</b></h2><p>
Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.</p></div><p></p>

Senior Developer

Apple

<p>The people here at Apple don't just create products, they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.<br>
<br>
The Video Engineering group is looking for a Software Engineer with a strong emphasis on data application development, data pipeline engineering, and database systems. This is a hands-on, fast-paced role at the intersection of software, data, and machine learning, where the work you build directly impacts the quality of next-generation Apple products.<br>
<br>
<b>Description</b><br>
<br>
Our team sits at a critical intersection, bridging Algorithm, Quality Assurance, and User Studies teams to drive innovation in video engineering. We build the data applications, pipelines, and database systems that power how Apple collects, manages, and processes data at scale.&quot;,&quot;responsibilities&quot;:&quot;Design and develop data applications and internal tools that enable teams to efficiently access, query, and analyze large-scale video and sensor datasets<br>
<br>
Build scalable data pipelines that handle high-volume video and sensor data from ingestion to storage to downstream algorithm teams<br>
<br>
Architect and maintain database systems (SQL and NoSQL) optimized for high-throughput data workloads, metadata management, and analytics<br>
<br>
Integrate with Apple internal services and APIs, including internal identity systems, CI/CD platforms, and data management services<br>
<br>
Collaborate closely with algorithm, machine learning, and user study teams to ensure data quality, coverage, and timely delivery against aggressive testing timelines<br>
<br>
Own and evolve your domain, from initial design through deployment, with full accountability for reliability, scalability, and maintainability<br>
<br>
Explore and adopt emerging tools including AI/LLM to continuously improve development velocity and operational efficiency<br>
<br>
This role is primarily on-site in Cupertino, as it involves close collaboration with lab teams, Apple devices, and in-person user study participants.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience with distributed data processing frameworks (e.g., Spark, Airflow, Kafka, or equivalent)<br>
<br>
Familiarity with data warehousing, ETL/ELT patterns, and large-scale analytics workflows<br>
<br>
Experience designing end-to-end systems, including making trade-offs around performance, cost, and maintainability<br>
<br>
Comfortable working in fast-moving, ambiguous environments with shifting priorities and tight timelines<br>
<br>
Strong curiosity and drive to explore new technologies, including AI/LLM tools, to improve workflows and solve novel problems<br>
<br>
Experience building internal tooling or lightweight web interfaces (e.g., React, Flask, FastAPI) as a complement to backend/data work<br>
<br>
Good verbal and written communication skills for cross-functional collaboration<br>
<br>
A builder mentality: you take ownership, move fast, and care about the quality of what you ship<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS and a minimum of 3 years of relevant industry experience<br>
<br>
2+ years of Python<br>
<br>
2+ years of experience designing and developing data pipelines or data applications<br>
<br>
1+ years of experience with a major cloud platform (e.g., AWS, or equivalent internal platforms)<br>
<br>
Strong proficiency with Git, REST APIs, SQL, and NoSQL databases<br>
<br>
Experience with data modeling, schema design, and database performance optimization<br>
<br>
Familiarity with software design patterns and system design principles (e.g., scalability, reliability, modularity, separation of concerns)<br>
<br>
Solid understanding of the software development lifecycle and engineering best practices<br>
<br>
Proficiency in prompt engineering and AI-assisted development workflows, with experience going beyond simple code suggestions to tackle complex debugging, architectural trade-offs, or automation tasks<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.</p>

Software Engineer - VE

<div><p>NVIDIA's groundbreaking invention of the GPU in 1999 not only sparked the growth of the PC gaming market but also redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning has ignited the modern AI era, positioning the GPU as the brain behind computers, robots, and self-driving cars that can perceive and understand the world around them.</p><p>
NVIDIA is seeking a Customer Solution Architecture and Application Engineer to join our team. In this pivotal role, you will collaborate with our key hardware design teams to enable NVIDIA's next-generation Embedded products and system solutions. Your responsibilities will include leading a Partner Enablement team to ensure product quality and reliability, optimize system performance, and enhance the integration process. You will engage with customers from New Product Introduction (NPI), design integration, and validation stages, all the way through to mass production deployment.</p><p></p><p>
This is a unique opportunity to lead Embedded solutions into the fastest-growing markets, including artificial intelligence, deep learning, and advanced computing! We have a rare chance to change the world with our next-generation solutions at the forefront of advanced technology, making a significant impact on our daily lives. If you are passionate about technology that drives growth in AI markets and want to be part of a diverse team that is making a difference, we encourage you to apply now to join NVIDIA!</p><p></p><p><b>
What You&rsquo;ll Be Doing:</b></p><ul><li><p>
Collaborate with major Tier-1 and key OEM customers, as well as internal teams, to develop future Embedded architectures and roadmaps.</p></li><li><p>
Working alongside hardware design, firmware, software, sensors validation and AI algorithm teams to integrate NVIDIA's Embedded solutions into our customers&rsquo; products.</p></li><li><p>
Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions, while maintaining design documentation, test plans, and other customer enablement materials.</p></li><li><p>
Evaluate and enhance system performance, power efficiency, and thermomechanical integration, while simultaneously providing internal teams with laser-focused feedback for future improvements.</p></li><li><p>
Collaborate with multi-functional teams at NVIDIA to ensure customer solutions are extraordinarily optimized to be the highest-performing solutions in the world.</p></li></ul><p></p><p><b>
What We Need to See:</b></p><ul><li><p>
Expertise in thermal, mechanical, and electrical (TME) engineering, with experience ranging from board design to the integration of large-scale Automotive and Robotic systems.</p></li><li><p>
3+ overall years of proven experience</p></li><li><p>
BS or equivalent degree in EE/CE/CS engineering field or equivalent experience</p></li><li><p>
Consistent track record of leading a team and working with multidisciplinary groups (hardware, firmware, software, validation, project management, sensors, and AI algorithm developers).</p></li><li><p>
In-depth knowledge of AI hardware products and applications.</p></li><li><p>
Exceptional communication skills, both external and internal, coupled with strong collaboration abilities.</p></li><li><p>
A deep passion for complex problem-solving on a technical and process level, while comprehending the broader implications and trade-offs involved.</p></li></ul><p></p><p>
NVIDIA offers highly competitive salaries and a comprehensive benefits package. Our team comprises some of the most experienced and dedicated individuals in the world, and due to outstanding growth, our extraordinary engineering teams are growing rapidly. If you are a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until September 1, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Customer Solutions and Applications Engineer

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