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Embedded 5g/4g Cellular Physical Layer Data jobs at Apple
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1,147 jobs found
09.09.2025
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Apple Senior Data Scientist - Experimentation United States, West Virginia
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Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple Senior Data Scientist - Business Analytics United States, West Virginia
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Description:
- Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance.
- Lead partnerships with cross functional teams to define collaboration model and outline business needs into data and analysis requirements.
- Translate ambiguous business requirements into actionable insights with an uncompromising emphasis on accuracy.
- Lead the inventory management process and develop a comprehensive strategy, defining the supply availability at various News/Media topics.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers.
- 8+ years of Business Analytics or News/Media advertising experience.
- Strong data analysis skills to conduct deep dives by applying data science to generate actionable insights.
- Exceptional communication skills, with the ability to communicate complex analyses in a clearly to executive leadership and technical audience.
- Demonstrated ability to collaborate with advertisers to design tests to demonstrate effectiveness of Apple Ads, collaborate with sales and product leadership to manage ads inventory, and collaborate with product leadership to solve challenging product problems.
- Proficiency in SQL, python and familiarity with data stores such as Hadoop and Snowflake.
- Bachelor's degree in a related field of study, or equivalent industry experience.
- 11+ years of Business Analytics or News/Media advertising experience.
- Experience and knowledge of ad tech, digital and mobile advertising experience is a big plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple Security Software Engineer Data Protection United States, West Virginia
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Description:
- Excellent C and systems programming skills
- Strong understanding of operating systems internals
- Industry exposure to and knowledge of OS security and applied cryptography
- Ability to deliver solid work on tight schedules
- Excellent teamwork skills. We work with all engineering teams involved in these products, and on all of their code
- Understanding of past, current, and emerging security exploits
- iOS and macOS exposure (end user, administrator, developer)
- Kernel programming
- Hypervisor design and architecture
- Involvement in open source technologies and development communities such as FreeBSD and Linux
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple GPU Physical Design Engineer United States, West Virginia
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Description:
- Drive outstanding PD construction and optimization recipes for performance, power and Area (PPA).- Work on pioneering designs in the latest technology nodes.- Drive the work among place and route engineers, set goals and breakthroughs, plan short and long-term work, understand dependencies between different domains like top, STA, block PnR.- Lead and resolve design and flow issues related to physical design, identify potential solutions and drive execution.
- BS + 3 years of relevant experience.
- Experience with one or more of the following: floorplanning partitions, conducting route and placement flow experiments, reviewing static timing, and physical design verification flow results.
- We value ability in all aspects of ASIC implementation including Synthesis, DFT insertion, Floorplanning, Clock and Power distribution, Place and Route and all aspects of timing, electrical and physical signoff.
- Work with FE teams to understand the design architecture to drive optimal floorplanning and physical implementation through early RTL feedback.
- Use design knowledge and innovative physical construction and optimization flows to push performance, power, and Area (PPA) of GPU designs.
- Experience with multi-voltage, power gated, and power retention will be an advantage.
- Practical knowledge with hierarchical design approach, top-down design, budgeting, timing, and physical convergence will be an asset.
- Experience on integrating IP from both internal and external vendors and able to specify and drive IP requirements in the physical domain.
- Depth of expertise with large GPU designs (>20M gates) with frequencies in excess of 1GHz applying brand-new technologies.
- Familiar with various process related design issues including Design for Yield and Manufacturability, multi Vt strategies and thermal management.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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09.09.2025
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Apple Software Engineer Data Ai & Platforms United States, West Virginia
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Description:
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform. This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
- Experience building enterprise-level data applications on distributed systems
- Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
- Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
- Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
- Familiarity with foundational concepts in Generative AI (e.g., Large Language Models, prompt engineering)
- Bachelor's degree in Computer Science or equivalent experience
- Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
- Experience in cloud data warehousing platforms like Snowflake is highly valued
- Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
- Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
- Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of GenIA , basic ML models in the area of anomaly detection, forecasting)
Bachelor's degree in Computer Science or equivalent experience
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09.09.2025
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Apple Cellular SoC Frontend STA Engineer m/f/d United States, West Virginia
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Description:
In this role, you will be a key part of the Cellular SoC Integration team in Munich, Germany. As Frontend-STA engineer you are the focal point for constraints development as well as design- and timing analysis. Together with RTL designers, Physical designers, and other integration teams, you will work on very exciting designs and sophisticated technology nodes.
You will be responsible for constraint development, including deliveries for synthesis, PnR, and sign-off STA. You will work on partition- as well as SoC-level and verify the results post-synthesis for all STA modes.In this role, you will be the link between digital design, mixed-signal design (.lib definition), and physical design. Your responsibility is to achieve sign-off quality of timing constraints, based on stakeholder requirements.Further, you will closely collaborate with digital designers to understand the design intent and its clock structure to optimize power, performance, and area. With CAD and PD teams you will continuously improve development flows.
- Hands-on experience on multiple projects with constraint development, -analysis, and -debugging.
- Hands-on experience with industry-standard tools for STA, e.g. PrimeTime or Tempus.
- Proven understanding of hierarchical design approaches, top-down design, timing budgeting as well as timing and physical convergence.
- Proficient in day-to-day usage of scripting languages (TCL, Perl, Shell, Bash, Python), Linux, and revision control systems (e.g. PerForce)
- Very good experience with Verilog and the ability to analyze RTL/Netlist designs
- Good interpersonal and communication skills as well as the ability to find effective technical solutions between RTL-Design and Physical-Design teams
- English language proficiency is required for this position
- Bachelor's or Master's Degree in Electrical Engineering, Computer Science/Software Engineering, or equivalent is a requirement with some years of working experience or a PhD in a relevant field with some years of proven experience.
- Experience with SoC practices such as multiple voltage and clock domains, integration of mixed-signal IPs, and power optimizations would be a big plus.
- Experience with synthesis, logic equivalence, or ECO techniques would be a plus.
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
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09.09.2025
A
Apple AIML Data Operations Annotation Analyst - Austrian German Mo... United States, West Virginia
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Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements.This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
- Austrian German reading, writing, and comprehension skills to support the language specific market
- Fluency in English reading, writing and comprehension skills to partner with international teams
- Excellent active listening skills with the ability to understand verbal nuances
- Understanding of the local region and cultural variations
- Demonstrates integrity and focuses on customer privacy
- Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
- Highly organized with strong attention to detail
- Ability to independently navigate systems and tools
- Experience in content review or a similar environment, prior testing experience preferred
- Demonstrates flexibility and adaptability to changing work-flows and responsibilities
- Grows with a team where expertise is shared and feedback is welcomed
- Excels at working independently to make timely decisions and take appropriate actions
- Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
- Successfully meets or exceeds targets, working within tight deadlines
- Ability to identify business process solutions that increase efficiencies
- Ability to maintain focus and aim for high results through large volumes of tasks
- Ability to work on safety data which could include offensive material
- Thrives in repetitive work and ambiguous scenarios
- Bachelor’s degree or equivalent job-related experience
Expand
Share
Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Expand
These jobs might be a good fit
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