security software engineer, data protection

senior front-end engineer, data solutions & initiatives

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

administrative assistant, hardware technology

ai software and security engineer Jobs in Cupertino

ai software and security engineer

ml engineer

security software engineer, data protection Jobs in Cupertino

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

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

Imagine what we could do together. 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&rsquo;s no telling what we could accomplish! 
 
The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple&rsquo;s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. 
 
Description 
 
The App Store team powers the data backbone behind discovery, search, trust and safety, developer insights, and experimentation across billions of daily user interactions. We ingest, model, and activate high-volume event data in near real time with uncompromising standards for privacy, reliability, and latency. As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications that make App Store signals useful, safe, and actionable for teams across the Apple. &quot;,&quot;responsibilities&quot;:&quot;Architect and operate petabyte-scale App Store pipelines with strict SLAs. 
 
Define event taxonomies, schemas, and governance to ensure durable contracts, lineage, and high-quality metadata. 
 
Ship privacy-by-design processing: PII minimization, consent enforcement, differential privacy, and edge-friendly patterns. 
 
Build production GenAI services with App Store context: embeddings, vector search, RAG, prompt orchestration, guardrails, and automated evals. 
 
Lead incident response and root-cause analysis; automate backfills, reprocessing, and lineage-aware rollbacks. 
 
Mentor engineers, influence architectural roadmaps, and improve on code quality, testing, performance, reliability, and documentation. 
 
Preferred Qualifications 
 
Familiarity shipping GenAI apps to production: embeddings, vector DBs, RAG, prompt orchestration. 
 
Excellent communication and collaboration skills; ability to influence multi-functional partners and drive complex projects to completion. 
 
Minimum Qualifications 
 
8+ years of hands-on software engineering experience building large-scale data systems. 
 
Strong programming skills in one or more of Scala and Java. 
 
Hands-on expertise with distributed data systems such as Spark, Kafka, Hadoop, Flink. 
 
Solid foundation in data storage and SQL : (S3/HDFS/Parquet), and lakehouse tables (Iceberg/Delta/Hudi). 
 
Solid systems fundamentals: algorithms, data structures, concurrency, consistency, caching, and observability. 
 
Built and operated services with Docker/Kubernetes, automated CI/CD and low-latency inference systems. 
 
BS/MS/PhD in Computer Science or related field, or equivalent 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, App Store Data

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there's no telling what we can accomplish together. We're looking for a hardworking and passionate person to join this amazing team, and if you feel this is you, we'd love to hear from you! 
 
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
Description 
 
Our team, Apple Services Engineering (ASE) Privacy Instrumentation, works with Apple's customer-facing app development teams to answer two key questions: what metrics should we collect to answer key business questions and how will we get those metrics from client devices? We design and develop the data schema and standards for metrics, as well as the tooling that enables teams to collect these metrics, all while keeping user privacy front and center. By joining us your innovative ideas will impact billions of users worldwide and you will contribute to Apple&rsquo;s magic. 
 
We're looking for someone who thrives at the intersection of product management and engineering, helping us solve problems critical to unlocking business insights on Apple's most important customer software. In this role, you'll define the future of our privacy-first instrumentation capabilities while maintaining hands-on engineering involvement. This isn't your standard engineering role: while you will get the opportunity to write code for our tooling and data infrastructure, the bulk of your time will be focused on technical design, requirements gathering, and cross-functional collaboration. 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as necessary to answer high-level analytics questions at scale. 
 
Your responsibilities will span the full software development lifecycle - from brainstorming, design and analysis to development, implementation and maintenance. You'll define strategies for new data infrastructure products, create and maintain detailed instrumentation specifications for all new features across ASE products, and contribute code to implement these strategies. 
 
Working with stakeholders across product, engineering, data science, privacy, legal, and QA teams, you will: 
 
<ul><li>Design and implement privacy-preserving analytics systems some of Apple&rsquo;s flagship software products</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data across all Apple platforms (iOS, macOS, tvOS, watchOS, visionOS, web, and third-party)</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating specifications for engineering, data science, and QA teams</li></ul> 
<ul><li>Serve as data collection subject-matter expert, advising stakeholders on analytics impact across systems</li></ul> 
<ul><li>Partner with privacy and legal teams to balance analytics needs with consumer privacy protection</li></ul> 
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. 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
BS or MS in Computer Science or equivalent industry experience with iOS and/or web development 
 
5+ years of experience as a software engineer, technical product manager, or engineering-focused management consultant 
 
Strong software design skills with deep knowledge of data structures and algorithms and hands on experience with programming languages such as Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
Excellent communication and collaboration skills with ability to translate ambiguous analytics questions into concrete engineering requirements while working with large, distributed cross-functional teams 
 
Strong prioritization skills with proven ability to manage multiple programs simultaneously with overlapping deadlines 
 
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.</div>

Senior Software Engineer - Analytics and Data Privacy

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

We&rsquo;re looking for a Senior Software Engineer to help build the next generation of large-scale data systems that power high-impact decisions across Siri. In this role, you'll operate at the intersection of engineering excellence and business impact. You&rsquo;ll design and implement scalable, reliable systems to transform raw data into actionable insights for leadership. This is a high-visibility, high-impact position with the opportunity to influence the direction of products and strategy. 
 
The Siri User Experience Metrics team is at the heart of shaping how users interact with Siri every day. We use data, metrics and insights to continuously improve Siri&rsquo;s User Experience across Apple platforms including iOS, macOS, visionOS, tvOS and watchOS. 
 
Our team defines and owns the most critical user facing metrics, identifies quality issues, builds scalable reporting tools and delivers actionable insights that directly inform product decisions. We collaborate closely with product, platform and feature teams to ensure Siri not only works - but delivers exceptional User Experience. From response time to failure tracking, we make sure Siri feels fast, natural and helpful wherever users need it. 
 
As a Senior Software Engineer on the Siri User Experience Metrics team, you will have significant influence and responsibility in identifying and alert on quality issues using data and metrics to shape Siri&rsquo;s User Experience. 
 
If this sounds like you, you're someone who&rsquo;s laser-focused on impact - bringing sharp programming skills, strong problem-solving abilities and clear communication to the table, all driven by a passion for building exceptional products. 
 
You'll have the opportunity to drive meaningful impact across all Apple platforms by collaborating closely with Engineering, Product, Testing and Quality teams. Your work will directly enhance the Siri experience for billions of users - shaping how people interact with Apple every day. 
 
Description 
 
Join us in building the data backbone of Siri&rsquo;s regression detection system - the platform that enables engineering teams and senior leadership to see, understand, and improve product quality. In this role, you&rsquo;ll build large-scale data systems that power metrics observability at scale. Success in this role means not only technical excellence, but also the ability to collaborate across teams, communicate effectively and align diverse stakeholders around solving complex, high-impact challenges. 
 
You thrive in fast-paced, dynamic environments and are comfortable navigating ambiguity to deliver meaningful, incremental impact. You bring strong problem-solving skills, operate with a high degree of autonomy and have a track record of executing effectively. With a commitment to continuous learning and attention to detail, you actively seek opportunities to innovate and share knowledge. You follow engineering best practices - including unit testing, CI/CD, documentation, monitoring, and alerting - to ensure reliable, maintainable solutions. In this role, you&rsquo;ll collaborate closely with stakeholders to understand metric needs, provide technical guidance, gather requirements and deliver robust data solutions and intuitive dashboards. 
 
Preferred Qualifications 
 
Experience supporting the end-to-end machine learning lifecycle, including data ingestion, feature pipelines, batch inference, and model monitoring in production environments. 
 
Hands-on experience building, scheduling, and maintaining data and ML workflows using orchestration frameworks such as Apache Airflow 
 
Experience working in cloud environments (AWS, GCP, or Azure) and integrating data pipelines with cloud-native storage and compute services 
 
Minimum Qualifications 
 
7 years of development experience and Bachelors or Masters degree in Computer Science or related field or 5 years development experience and PhD in Computer science or related field. 
 
Expert knowledge of one or more object-oriented programming languages (Java, Objective-C, C++, Scala, Swift etc) or scripting languages (Python, Ruby, Bash etc.). 
 
Experience working with Spark or other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient and large scale data systems. 
 
Expertise in development of big data systems and ETL for product metrics and analysis of large data volumes to identify patterns, draw insights and troubleshoot issues. 
 
Knowledge of SQL to analyze data, derive insights and drive improvements. 
 
Leadership experience, including being a technical lead for complex, cross functional development projects demonstrating good technical judgement and prioritization skills. 
 
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, Siri User Experience Metrics and Data

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>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

<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

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