senior front-end engineer, data solutions & initiatives

senior soc systems software engineer, annapurna labs machine learning accelerators, aws

senior software engineer - analytics and data privacy

administrative assistant, hardware technology

ai software and security engineer Jobs in Cupertino

ai software and security engineer

ml engineer

senior front-end engineer, data solutions & initiatives Jobs in Cupertino

senior soc systems software engineer, annapurna labs machine learning accelerators, aws Jobs in Cupertino

senior software engineer - analytics and data privacy Jobs in Cupertino

senior lead software engineer

Apple

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical 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 $181,100 and $318,400, 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 Software Engineer - Data

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

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. 
 
Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. 
 
Description 
 
Data is our first class citizen and the foundation of any AI features. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. 
 
The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple&rsquo;s privacy policy, which forms Apple&rsquo;s core values. You will have important responsibility and influence in designing and building the data platform to empower businesses, operations, data analytics and AI feature. &quot;,&quot;responsibilities&quot;:&quot;Join a fast growing team of data engineers to develop and iterate quickly on all stages of data processing. 
 
Lead, design, develop, and drive the unique solutions necessary to scale to Apple Service&rsquo;s diverse data requirements. 
 
Innovate and inspire a scalable data vision for current and extension to support AI needs. Influence internal teams, partners, and stakeholders to execute on that vision. 
 
Drive for quality, scalability and a strong collaborative environment. 
 
Preferred Qualifications 
 
Strong analytical skills with solid understanding of data structures and algorithms. 
 
Excellent communicator, able to explain complex concepts clearly. 
 
Strong interest in processing data to power embedded and AI features. 
 
Minimum Qualifications 
 
BS/MS in Computer Science or related field with 8+ years of experience. 
 
Strong programming skills in Java, Scala, SQL, with hands-on experience in distributed compute/storage systems like Spark, Iceberg, Cassandra, Hadoop/HDFS, AWS/S3. 
 
Multi-year experience in big data processing of batch and streaming using Flink and Spark. 
 
Proven ability to lead engineering projects from design to production across teams. 
 
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 $181,100 and $318,400, 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.

Sr. Software Engineer, Big Data - Apple Services Engineering

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life &mdash; drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. 
 
We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. 
 
Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: 
 
<ul><li>Develop and own components of our SoC models, both single-chip and at the datacenter-scale level</li><li>Debug complex hardware/software interactions across the full software stack &mdash; from register-level bring-up on functional models and emulators, to performance analysis on live silicon</li><li>Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface</li><li>Contribute to the design of hardware features by providing a software perspective early in the chip development cycle</li><li>Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates</li></ul> 
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world. You'll work on software that runs on chips no one outside the team has seen yet, solving problems that don't have Stack Overflow answers. You'll see your code running in production on infrastructure that serves millions of ML workloads. 
 
You will thrive in this role if you: 
 
<ul><li>Are comfortable reading hardware specs and translating them into working software</li><li>Have debugged problems where the root cause could be in hardware, software, or the interface between them</li><li>Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs</li><li>Care about performance and have experience profiling and optimizing latency-sensitive or throughput-critical code paths</li><li>Are comfortable in C++ close to the hardware and use Python for tooling and automation</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack end-to-end</li></ul> 
Although we are building machine learning chips, no machine learning background is needed for this role. Any ML knowledge required can be learned on the job &mdash; what matters is your ability to write great low-level software and reason about hardware. 
 
This role can be based in either Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>7+ years of professional experience developing firmware, drivers, runtime software, or low-level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)</li><li>Experience programming in C++, Python, and/or Rust (preference for at least 2)</li><li>Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)</li><li>Experience debugging using functional models, QEMU, FPGA, or emulators</li><li>Experience with Linux kernel development, device drivers, or bare-metal firmware</li><li>Experience building functional or performance models of SoCs</li><li>Experience co-designing hardware/software interfaces with architecture or RTL teams</li><li>Familiarity with PCIe, DMA engines, on-chip interconnects, or network-on-chip architectures</li><li>Experience with performance profiling and optimization of latency-sensitive software</li><li>Experience with multi-threaded, multi-process, or asynchronous programming models</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div>

Senior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS designs custom SoCs (System on Chips) that power the world's largest machine learning training and inference clusters. Our organization builds both the SoCs and the low-level software stack that brings these chips to life &mdash; drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. 
 
We're looking for a Systems Software Engineer who wants to work at the boundary between hardware and software in both pre-silicon and post-silicon, where the problems are hard, the debugging is deep, and the impact is enormous. 
 
Our team develops SoC models and infrastructure to enable SoC validation, accelerate system software development, and enable architectural exploration. As part of the ML accelerator systems modeling software team, you will: 
 
<ul><li>Develop and own components of our SoC models, both single-chip and at the datacenter-scale level</li><li>Debug complex hardware/software interactions across the full software stack &mdash; from register-level bring-up on functional models and emulators, to performance analysis on live silicon</li><li>Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface</li><li>Contribute to the design of hardware features by providing a software perspective early in the chip development cycle</li><li>Build tooling, test infrastructure, and automation that accelerates development for yourself and your teammates</li></ul> 
Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world. You'll work on software that runs on chips no one outside the team has seen yet, solving problems that don't have Stack Overflow answers. You'll see your code running in production on infrastructure that serves millions of ML workloads. 
 
You will thrive in this role if you: 
 
<ul><li>Are comfortable reading hardware specs and translating them into working software</li><li>Have debugged problems where the root cause could be in hardware, software, or the interface between them</li><li>Have built firmware, drivers, runtime software, or communication libraries for SoCs, ASICs, GPUs, CPUs, or FPGAs</li><li>Care about performance and have experience profiling and optimizing latency-sensitive or throughput-critical code paths</li><li>Are comfortable in C++ close to the hardware and use Python for tooling and automation</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack end-to-end</li></ul> 
Although we are building machine learning chips, no machine learning background is needed for this role. Any ML knowledge required can be learned on the job &mdash; what matters is your ability to write great low-level software and reason about hardware. 
 
This role can be based in either Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of hardware architectures</li><li>2+ years of professional experience developing firmware, drivers, runtime software, or low-level systems software for custom hardware (SoCs, ASICs, GPUs, CPUs, FPGAs)</li><li>Experience programming in C++, Python, and/or Rust (preference for at least 2)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with collective communication libraries or distributed systems primitives (MPI, NCCL, RCCL, or similar)</li><li>Experience debugging using functional models, QEMU, FPGA, or emulators</li><li>Experience with Linux kernel development, device drivers, or bare-metal firmware</li><li>Experience building functional or performance models of SoCs</li><li>Familiarity with PCIe, DMA engines, on-chip interconnects, or network-on-chip architectures</li><li>Experience with performance profiling and optimization of latency-sensitive software</li><li>Experience with multi-threaded, multi-process, or asynchronous programming models</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS

Imagine what you could do here. The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;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. 
 
The Data Solutions &amp; Initiatives (DSI) team supports Apple&rsquo;s business leaders as they project, manage, and report on business performance. We do this by driving vast improvements for our customers, experiences that delight, platforms that scale to meet the demands of the business, tools that provide crucial productivity and insights. 
 
Description 
 
This is a software engineering tech lead role. You will collaborate closely day-to-day with engineers, users and business leaders to plan, design, build and deliver high-quality, scalable and resilient cloud-based software solutions that enable enriched and intelligent data exploration, analytics and reporting.&quot;,&quot;responsibilities&quot;:&quot;Lead system architecture and delivery of resilient, scalable and complex software solutions meeting business needs in a timely and cost-efficient manner 
 
Develop robust full-stack solutions with meticulous attention to quality and maintainability; Foster thoughtful innovation and experiment with better approaches while maintaining high standards 
 
Partner with product, leadership and other cross-functional partners to define technical strategy and direction; Lead technical discussions that build shared understanding and drive alignment on priorities and trade-offs 
 
Own technical strategy and delivery across the full development lifecycle; Ensure solutions deliver on functional and non-functional commitments 
 
Debug production issue, performing root cause analysis and ensuring timely followups on short-term and long-term solutions 
 
Mentor and coach engineers at various levels in system design thinking, problem solving and best practices; foster a culture of collaboration, excellence, innovation, and continuous learning 
 
Drive technical exploration of promising technologies and approaches; Build proofs of concept to validate ideas and present learnings across engineering team to build collective knowledge and make informed recommendations 
 
Lead long-term technical vision and roadmap; Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt 
 
Preferred Qualifications 
 
10+ years of hands-on software engineering experience 
 
Proven track record of architecting and developing distributed systems leveraging big data technologies with long-term viability 
 
Proven hands-on experience in rapid system scaling, performance and resilience testing 
 
Deep working knowledge of AWS or other cloud platforms 
 
Familiarity with data modeling and machine learning algorithms 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or equivalent experience 
 
Minimum Qualifications 
 
7+ years of hands-on software engineering experience with impeccable analytical and problem-solving skills 
 
Proven track record of leading cross-functional technical projects and planning roadmap in which near-term initiatives ladder to long-term mission 
 
Proficiency in JavaScript/TypeScript and one compiled language, e.g. Java, Go, Scala 
 
Familiarity with systems architecture, distributed systems and big data technologies 
 
Knowledge of infrastructure, various data stores and caches 
 
Experience in conveying technical concepts effectively and building shared understanding across engineering, product and leadership teams 
 
Ability to guide teams through iterative planning, execution, and delivery processes 
 
Strong understanding of computer science fundamentals and software design principles; Desire for continuous learning 
 
Demonstrated history of continuous technical growth and comfort mastering new areas and technologies 
 
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 $171,600 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.

Senior Software Engineer - Tech Lead, Data Solutions & Initiatives

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production. 
 
What you'll do: 
 
<ul><li>Build and own models of SoC subsystems &mdash; translating architecture specs and RTL behavior into accurate, testable C++ models</li><li>Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows</li><li>Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing</li><li>Contribute to performance modeling efforts &mdash; building cycle-approximate models that help architects evaluate design trade-offs before RTL exists</li><li>Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams</li><li>Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability</li></ul> 
Why this role is interesting: 
 
<ul><li>Your models are used to verify silicon before it's built &mdash; bugs you catch save months of schedule and millions of dollars</li><li>You'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected</li><li>As the team scales, there's a clear path into architectural modeling &mdash; using your models to influence chip design decisions, not just validate them</li><li>Small team, high ownership, direct impact on AWS's most strategic silicon programs</li></ul> 
You will thrive in this role if you: 
 
<ul><li>Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks</li><li>Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models</li><li>Understand verification concepts and have worked with DV teams or in pre-silicon validation environments</li><li>Care about model fidelity and have experience correlating models against RTL or silicon</li><li>Are interested in expanding into architectural performance modeling as the team grows</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack</li></ul> 
No ML background needed. You'll learn the ML accelerator domain on the job. 
 
This role can be based in Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming languages such as C/C++, Python, Java or Perl</li><li>2+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)</li><li>Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience working with DV teams or integrating models into verification flows</li><li>Experience with SystemC or TLM-based modeling</li><li>Experience correlating functional models against RTL simulation or emulation</li><li>Experience developing or calibrating performance models</li><li>Familiarity with Modern C++ (20 and beyond)</li><li>Experience with PyTest, GoogleTest, or similar test frameworks</li><li>Experience with multi-threaded simulation</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS

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