Finding the best job has never been easier
Data Center Cluster Architect jobs at Apple in United States, Cupertino
Discover your perfect match with Expoint. Search for job opportunities as a Data Center Cluster Architect in United States, Cupertino and join the network of leading companies in the high tech industry, like Apple. Sign up now and find your dream job with Expoint
Company (1)
Job type
Job categories
Job title (1)
United States
State
Cupertino
200 jobs found
25.08.2025
A
Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino
Share
1+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar...
Description:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
25.08.2025
A
Apple Platform Architect - Security United States, California, Cupertino
Share
Develop threat models and associated security architectures for exciting new Apple products and technologies, derive system security requirements, and design balanced and novel mitigations in creative collaboration with iconic product...
Description:
In this role, you will identify and define platform level security requirements for new products, define and maintain device-level security policies across multiple environments for existing products, and drive adoption of platform level security architectures incorporating hardware, software, and server elements, through our cross-function partners. Together with the rest of the Platform Architecture team, your work will ensure millions of customers all around the world can confidently trust the devices they use every single day.
As a member of Platform Architecture, you will lead cross-functional teams throughout the product development cycle. Further, as part of this high-visibility team, you will frequently collaborate with other security architects and researchers across Apple including software, hardware, silicon, server, and product groups to identify, define and design security solutions that elevate overall security profile of our SOCs, devices, and factories.
- Develop threat models and associated security architectures for exciting new Apple products and technologies, derive system security requirements, and design balanced and novel mitigations in creative collaboration with iconic product and engineering teams.
- Develop detailed system-level specifications to guide product development, integration, and quality assurance teams in the creation of golden unit tests, reference data, and sample libraries to aid integration of our security technologies across team boundaries (e.g. client/ server).
- Drive security requirements and architecture into custom silicon designed through external vendor.
- Use a wide range of interpersonal and technical skills to champion adoption of our industry leading security technologies across multiple product categories.
- Identify emerging threats, new attacks, and mitigation techniques as the external landscape evolves and drive architecture evolution to stay ahead of industry.
- BS degree
- Knowledge of basic cryptographic principles (e.g., symmetric vs asymmetric crypto, encryption vs authentication, and/or public key infrastructure implementations)
- Experience in threat modeling system designs spanning across software, hardware and system designs
- MS or PhD degree and 20+ years of relevant experience
- Experience in effectively communicating highly technical details to a non-technical audience
- Programming and/or auditing experience with Python, C, and unix shell scripting
- Experience with communication protocols, e.g. WiFi, BT, UWB
- Ability to perform basic review of system design and schematics to understand and analyze security concerns at system level
- Breadth to work cross-functionally with Privacy, Safety, Service, Manufacturing, Software, and/or Product teams to resolve system-level security issues
- Ability to critically analyze security properties of a system and evaluate security policy requests via an established security architecture specification
- Experience in leading cross-functional initiatives to define, drive and productize security features
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
24.08.2025
A
Apple System Software Architect - Datacenter United States, California, Cupertino
Share
Minimum of 5 years of industry experience. Knowledge and experience in computer architecture and systems. Machine Learning experience. Prior experience with data center and large-scale cluster systems is desired. Prior...
Description:
Guiding architecture tradeoff decisions at an executive level Working with high level software features including 3rd party developers and ML inference stackML and AI application and software prototyping for client and datacenterAssisting in complex performance debug activities
- Minimum of 5 years of industry experience
- Knowledge and experience in computer architecture and systems
- Machine Learning experience
- Prior experience with data center and large-scale cluster systems is desired
- Prior experience in analyzing software/OS behavior, power management aspects of performance
- Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS, drivers, applications), and distributed computing in the data center is desired.
- Excellent software development skills preferably in C++ and Python
- Strong communication and mentoring skills
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
24.08.2025
A
Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino
Share
1+ years of experience in analytics and/or data science teams. Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and...
Description:
- 1+ years of experience in analytics and/or data science teams
- Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
- Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
- Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
- Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
- Must be able to guide and lead analysis and model development efforts across teams of data scientists
- Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
- Ability to create order from complex, poorly-structured problems
- Manage strategic relationships with our partners (e.g., App Store, future businesses)
- Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
- Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
- Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
- 3+ years of experience in analytics and/or data science teams
- Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
24.08.2025
A
Apple Memory Performance Architect Platform Architecture United States, California, Cupertino
Share
BS degree. Knowledge of memory controller techniques for different memory technologies such as DDRx and LPDDRx. C/C++ programming skills. Understanding of one or more of the following: CPU, GPU, Camera/Video,...
Description:
In this role, you will be a member of a System-on-Chip (SoC) architecture team, working with hardware and software engineering groups to shape the architecture of Apple's future devices. The role will focus on architecture definition, exploration and modeling of the memory subsystem and studying of the performance/power trade-offs of new DRAM technologies, as well as tuning the efficiency for different products, such as Watch, iPhone, Mac, or Vision Pro. We are looking for SoC architects with a passion to develop and document new and innovative ideas and model them in C++ to demonstrate their value and impact.
You will have responsibilities for developing the SoC level solutions that drive the architecture of Apple’s future System-on-Chips. Your work will be highly visible and critical to delivering the best performance and power efficiency in Apple’s future products. You will be expected to collaborate with all the hardware and software teams that are part of Apple’s SoC development:• C++ performance modeling of proposed architectural solutions and features.• Writing architectural specification documents in collaboration with engineers across different disciplines.• Gathering, analyzing, and validating measured and simulated results to compare architectural design alternatives.• Working with the multi-functional teams to develop architectural solutions.• Improving Apple’s modeling platform by developing APIs, tools, and optimal standard examples that can be used throughout the company.• Carefully analyzing and presenting results to enable data specific architecture/design.• Measuring and analyzing existing SOC and workloads.• Some international travel is required for this position.
- BS degree
- Knowledge of memory controller techniques for different memory technologies such as DDRx and LPDDRx
- C/C++ programming skills
- Understanding of one or more of the following: CPU, GPU, Camera/Video, or Machine Learning hardware accelerator memory access patterns and usage of system caches.
- MS or PhD in CS, EE, or related field
- 20+ years of relevant experience
- Knowledge of QoS solutions for SoCs
- Ability to conduct performance architecture and microarchitecture modeling and studies
- Python skills
- Experience contributing to a SoC design project at the micro-architectural or RTL level
- Communication skills
- Expertise in cooperative code development using a revision control system such as GIT
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
03.08.2025
A
Apple Senior AI Data Scientist United States, California, Cupertino
Share
Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment. Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation. Experience co-developing...
Description:
As a Senior AI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data, market data, programs, external data, etc.This role will operate in both capacities, to augment existing data solutions, as well as innovate and trailblazing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making.
In this role, you will be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You’ll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:- Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms.- Building RCA and recommendation engines that enhance summarization and chatbot capabilities.- Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.- Supporting experimentation and A/B testing for new insight types and interaction methods.- Partnering with AI engineers and PMs to scale features across regions and tools.- Influencing upstream data model design, drive KPI definitions, and develop your own data solutions as needed.- Building and supporting dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
- Experience co-developing with software engineers in production environments.
- Ability to lead development projects from start to finish.
- Comfortable with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
- Strong collaborator who can work closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
- 10+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
- Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
- Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
- Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
- Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
- Knowledge of project management and productivity tools such as Wrike, Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Knowledge of best practices in data analysis, data visualization, and data science.
- Ability to balance competing priorities, long-term projects, and ad hoc requirements.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
- Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.
- Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
- Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
- Strong experience articulating and translating business questions into data solutions.
- Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
- Experience with anomaly detection and causal inference models.
- Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
- Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
- Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
02.08.2025
A
Apple Metrics Data Engineer United States, California, Cupertino
Share
2+ years doing quantitative data analysis. 2+ years SQL experience. 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java,...
Description:
This is a hybrid data science / data engineering role. You’ll build data products and tools to support collaborative decision-making with our partner teams in data science, engineering, and product management. We need candidates who are phenomenal communicators and can advocate for the partner teams who make product decisions based on our metrics. You're willing to learn fast, and adapt well to changing requirements and new technology stacks.You'll develop analysis around product metrics data, and ensure the data meets high quality standards. We work closely with Maps Client, Engineering and Data Platform teams to find opportunities for improving data collection. You'll build relationships across Maps data ecosystem to understand end-to-end processes and how Maps information moves from device to data repositories and dashboards.
- 2+ years doing quantitative data analysis.
- 2+ years SQL experience
- 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala)
- Experience using git for version control
- Experience in designing analytic solutions to open-ended problems
- Experience in building relationships across teams, communicating technical content and analytical insights to teams from various disciplines
- Conduct hands-on data investigations and be passionate about our data and domain knowledge.
- Prior industry experience with Docker and Kubernetes
- Prior industry experience with building anomaly detection systems
- Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark
- Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
Share
1+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar...
Description:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
Find your dream job in the high tech industry with Expoint. With our platform you can easily search for Data Center Cluster Architect opportunities at Apple in United States, Cupertino. Whether you're seeking a new challenge or looking to work with a specific organization in a specific role, Expoint makes it easy to find your perfect job match. Connect with top companies in your desired area and advance your career in the high tech field. Sign up today and take the next step in your career journey with Expoint.