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ai software and security engineer Jobs in Cupertino

ai software and security engineer

ai/ml engineer, applied data science Jobs in Cupertino

ai/ml engineer, applied data science

aiml - machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - sr software data engineer, evaluation Jobs in Cupertino

data engineer for crowdsourced sensing

Apple

The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a data engineer with strong experience in distributed systems, real-time data pipelines, and large-scale telemetry processing to help build the data infrastructure that enables algorithms to operate reliably at a global scale. 
 
Description 
 
In this role, you will design, build, and maintain scalable data pipelines that ingest, process, and transform large volumes of crowdsourced sensor data from heterogeneous mobile and edge devices. You will develop real-time streaming systems, create simulation and replay frameworks, support algorithm experimentation at scale, and ensure data quality across highly dynamic and noisy environments. You will work closely with machine learning engineers, hardware teams, and software engineering partners to architect data flows, optimize end-to-end latency, and deliver robust, production-ready systems that support features deployed on millions of devices worldwide. 
 
Preferred Qualifications 
 
Graduate degree in Computer Science, Data Science, or equivalent experience. 
 
Experience with IoT or mobile-sensing data, including intermittent connectivity and edge-generated telemetry 
 
Experience with time-series data systems, sensor pipelines, or environmental/earth science data 
 
Experience supporting simulation, replay, or regression pipelines for algorithm evaluation 
 
Experience with data-quality frameworks, schema management, and observability tools 
 
Minimum Qualifications 
 
5 years of experience developing data ingestion, transformation, and validation pipelines for noisy or heterogeneous datasets 
 
5 years of experience with cloud or distributed storage systems (S3, HDFS, object stores) and columnar formats (Parquet, ORC) 
 
3 years of experience designing real-time or distributed data pipelines with stream-processing frameworks (Kafka or equivalent) 
 
3 years of experience managing large-scale telemetry or sensor-data systems 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer for Crowdsourced Sensing

Apple&rsquo;s Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users. 
 
Description 
 
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.&quot;,&quot;responsibilities&quot;:&quot;Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization 
 
Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development 
 
Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements 
 
Optimize algorithms for robustness, efficiency, and on-device deployment constraints 
 
Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product 
 
Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements 
 
Preferred Qualifications 
 
Experience developing algorithms for physiological sensing using multi-modal data 
 
Familiarity with on-device ML frameworks or resource-constrained optimization 
 
Experience working with incomplete, noisy, or limited datasets 
 
Background in experimental design and statistical validation 
 
Experience with distributed or cloud-based ML workflows 
 
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches 
 
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience. 
 
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems 
 
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation 
 
Proficiency in Python for algorithm development and optimization 
 
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results 
 
Experience owning algorithm development from early exploration through validation and integration 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer

Apple is where you go to do your life&rsquo;s best work. Apple crafts consumer electronics that have touched millions and changed the way people harmonize with electronic devices around the world. Behind every Apple product is a deep bench of very hardworking multi-functional teams, where the attention to detail defines success versus failure. 
 
HWTE is responsible for designing and developing methodologies and measurement solutions for calibration and validation of key technologies across Apple&rsquo;s products. For new technologies, we focus on metrology development and design characterization. The team takes on a multitude of display, imaging &amp; sensing technologies across all product lines. We are looking for an expert, technical leader with experience in Display hardware to join the team championing calibration and test strategy through engagement in early stages of technology development. If you have broad experience across key hardware technologies, a strong product/customer focus, experience guiding sophisticated programs through the development process, and the ability to distill tradeoffs down to key factors and drive critical technology and product decisions we&rsquo;d love to hear from you. 
 
Description 
 
The Technology Program Office in Hardware Test Engineering (HWTE) champions technology calibration and test strategy while balancing between quality/customer experience with operational requirements. In this highly cross functional role, we are looking for leaders to engage in early stages of technology development supporting prototyping, design validation, simulation &amp; metrology development activities, as well as identifying mass production intent solutions. This would require proactively driving alignment and convergence plan with cross functional teams, identifying risks &amp; mitigating them - all while presenting frequently to senior leadership across Apple. 
 
&quot;,&quot;responsibilities&quot;:&quot;Strategic Alignment &amp; Roadmap Influence: Work proactively with key HWTE technology stakeholders in Europe, US and Asia to review and understand technology/module roadmaps. Ensure strategic alignment between new technology investments and the development of appropriate, scalable, and forward-looking metrology solutions. 
 
Stakeholder Partnership: Establish, continuously maintain, and nurture robust functional partnerships with key stakeholders across Apple (Engineering, Operations, Product and Research) - across timezones and continents Engineering,, Product, and other cross-functional teams globally. 
 
Technical Program Execution: Oversee and drive successful execution of metrology development and algorithm pipelines from concept through to mass production for complex technologies. Proactively identify and drive resolution of technical risks, working with engineering leads to develop mitigation strategies and contingency plans 
 
Program &amp; Meeting Ownership: Own end-to-end project delivery, ensuring accurate completion while maintaining high quality standards through meticulous testing and validation processes. Own and drive critical meetings, technical reviews, and program updates with senior leaders and cross-functional partners, ensuring clear communication, documented actions, and decisive outcomes. Establish and drive quarterly roadmap &amp; prioritization reviews with HWTE leadership team. 
 
Cross-Functional Collaboration: Champion best practices in program management, risk management, and cross-functional communication to ensure timely delivery and high-quality outcomes across globally distributed teams. 
 
Communication Excellence: Serve as a central point of communication for program status, risks, and decisions, tailoring communication appropriately for diverse audiences, including executive leadership. 
 
Preferred Qualifications 
 
Background in display, optical design and optical-sensing technologies 
 
Understanding of hardware/software architecture and interoperability of complex systems 
 
Knowledge of statistical data analysis, design, process and test FMEA 
 
High volume consumer electronics calibration, testing and manufacturing experience 
 
Technical leadership and/or project management experience with excellent oral and written communication skills 
 
Ability to bring focus and transparency to complex situations while monitoring the bigger picture and the needs of a rapid development cycle 
 
Minimum Qualifications 
 
Bachelor&rsquo;s Degree in EE, CE or related field 
 
5 years relevant industry experience in display technologies 
 
Knowledge of display and optical technology fundamentals 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Technology and Metrology Engineering Program Manager - Display

Services Finance Data Science and Engineering team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. You will provide a key function in shaping the success of Apple&rsquo;s current and future products. As members of the Services Finance Data Science and Engineering team, we work with various business and engineering teams to understand current and future business initiatives. We need to be persistent and flexible in extracting data from various sources, cleaning and curating this data, and then clearly and concisely communicating insights. 
 
Description 
 
The individual in this role will collaborate with data scientists, business analysts and subject matter experts (SME) to acquire, and transform raw data and develop sophisticated data products. This includes developing and maintaining data pipelines, extracting from different sources (databases, APIs, etc.), and transforming raw data into normalized tables after running data quality checks. A successful data engineer is skilled in taking a business problem and translating it into a data solution in close collaboration with data scientists, business analysts, and SMEs.&quot;,&quot;responsibilities&quot;:&quot;Building and maintaining pipelines to extract data from various external sources (e.g. databases, APIs, etc..) and move data to internal destinations (e.g. Snowflake, Cloud Storage, etc..) 
 
Maintain data dictionary, lineage and documentation 
 
Enhance existing Pipeline monitoring and develop functionality for data observability 
 
Enable Analysts and Tableau developers by curating datasets which are easily accessible 
 
Work with SME to understand the data requirements and to translate business problems into data solutions and products 
 
Monitor the health status of the tables and data pipelines and develop an alerting system for failures and problems 
 
Conduct POCs and test new methods and technologies based on the team needs 
 
Preferred Qualifications 
 
Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc. 
 
Understanding of dimensional modeling, data warehousing concepts, medallion and data lakehouse architectures 
 
Hands-on experience with building ETL process and writing unit tests using DBT or similar tools 
 
Minimum Qualifications 
 
Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines 
 
Advanced SQL skills for complex transformations, optimization, and troubleshooting 
 
A Bachelor&rsquo;s degree in Statistics, Computer Science, Computer Engineering, or equivalent practical experience 
 
Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation 
 
Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses 
 
Ability to work both independently and within a team environment 
 
Strong written and verbal communication skills, capable of explaining technical results to a non-technical audience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $118,500 and $197,500, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Services Finance Data Engineer

The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple&rsquo;s unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads. 
 
You will contribute to the distributed runtime, orchestration layer, and system APIs that power Apple&rsquo;s intelligent features across products and services. This role is ideal for a software engineer who enjoys low-level systems work but is also fluent in ML workflows and models at scale. 
 
Description 
 
Apple Ray integrates deeply with Apple&rsquo;s data and ML ecosystem to provide a unified platform for building, orchestrating, and scaling complex ML and data pipelines. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure. 
 
You will build features that enhance developer productivity for ML engineers, improve resource efficiency, and advance the performance and reliability of Apple&rsquo;s ML workloads. You&rsquo;ll collaborate closely with ML practitioners to translate model and pipeline needs into robust platform capabilities, while also improving the underlying distributed runtime and control plane. 
 
This role requires strong engineering fundamentals, hands-on experience with ML systems, and a passion for building scalable infrastructure.&quot;,&quot;responsibilities&quot;:&quot;Build scalable distributed systems and platform components using Ray that power Apple&rsquo;s data+ML workflows. 
 
Develop APIs, libraries, and services that improve the efficiency and usability of large-scale ML training and inference pipelines. 
 
Optimize performance and resource utilization across GPU/CPU clusters for ML workloads running at Apple scale. 
 
Collaborate with ML teams to understand model and pipeline needs and translate them into robust platform features. 
 
Design fault-tolerant orchestration mechanisms, autoscaling strategies, and runtime improvements for distributed ML jobs. 
 
Diagnose complex issues across distributed systems and ML pipelines to ensure reliability and availability. 
 
Improve observability, monitoring, and debugging capabilities targeted at ML-centric distributed workloads. 
 
Contribute to architectural decisions and, where appropriate, upstream enhancements to Ray and related tools. 
 
Preferred Qualifications 
 
Experience with distributed training frameworks (DeepSpeed, Horovod, FSDP, ZeRO). 
 
Background in optimizing GPU workloads or performance benchmarking. 
 
Experience with model orchestration systems or ML platforms. 
 
Contributions to open-source ML or distributed systems projects. 
 
Familiarity with large-scale data systems such as Spark, Flink, or similar. 
 
Minimum Qualifications 
 
6+ years building distributed systems, high-scale backend services, or compute runtimes. 
 
Solid background in ML workflows, model training, model serving, or data pipeline development. 
 
Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java). 
 
Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with GPU-based training. 
 
Understanding of parallelism strategies, model scaling, or distributed training concepts. 
 
Experience with cluster orchestration (Kubernetes, EKS, GKE) or large-scale compute systems. 
 
Strong debugging skills across distributed and ML-centric runtime environments. 
 
Ability to work cross-functionally with ML engineers, data engineers, and infrastructure teams. 
 
B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or related technical fields - or comparable software engineering experience. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior ML Engineer, Apple Ray, Apple Data Platform

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Machine Learning Engineer, Data and ML Innovation

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Key Responsibilities
</div><ul><li> Experience in Sales or Channel Performance reporting and related metrics and KPIs, ideally within a technology company
</li></ul><ul><li> Demonstrated ability to support business-critical Business Intelligence platforms in an operational capacity
</li></ul><ul><li> Experience querying data sources to investigate, validate, and explain data to business users
</li></ul><ul><li> Experience working with BI platforms and tools such as Tableau, ThoughtSpot, Business Objects, or equivalent
</li></ul><ul><li> Ability to manage concurrent support requests across multiple platforms and time zones with consistent quality and responsiveness
</li></ul><ul><li> Strong written and verbal communication skills, with the ability to translate technical findings into clear business language
</li></ul><ul><li> Bachelor's degree or equivalent experience required</li></ul> 
<div> 
</div><div>Preferred Qualifications
</div><ul><li> Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDF
</li></ul><ul><li> Experience operating within automated support workflows (e.g., Slack-based intake, chatbots, or ticketing systems) and managing exception handling when automation is insufficient
</li></ul><ul><li> Ability to work effectively in a globally distributed team model with regional handoff requirements and follow-the-sun coverage expectations
</li></ul><ul><li> Knowledge of data pipeline concepts sufficient to distinguish between data latency, logic errors, and platform defects during investigation
</li></ul><ul><li> Experience collaborating with engineering and product teams to escalate, document, and track resolution of platform issues</li></ul> 
<div> 
</div><div>Salary Range : $70,000-$130,000 a year
</div><div>#LI-AS3
</div></div></div></div><div><div><div>Location</div>
<div>Cupertino, CA</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Engineer</div>
</div><div><div>Job Id</div>
<div>406145</div>
</div><div><div>Desired Skills</div>
<div>Business Intelligence(BI) | Tableau | Data Analyst | Sales</div>
</div><div><div>Salary Range</div>
<div>$70,000-$130,000 a year</div></div></div></div><div></div>

Data Reporting Analyst - Production Support Engineer

Explore 111+ Data engineer for crowdsourced sensing in Cupertino this April. Find roles across top companies and apply now to boost your career.