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software development engineer Jobs in Seattle

software development engineer

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cloud platform software engineer Jobs in Seattle

cloud platform software engineer

kubernetes development engineer Jobs in Seattle

kubernetes development engineer

platform software engineer

NVIDIA

<div><div>Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? Do you thrive when your work directly empowers teams to push the boundaries of what's possible?</div><div></div><div>
We're the Platform API team within NVIDIA's DGX Cloud organization - a collaborative group of cloud platform engineers, architects, and SREs who are passionate about building and nurturing the declarative, Kubernetes-native control plane that powers GPU-accelerated infrastructure across multiple cloud providers. Together, we're empowering the world's leading AI teams to train and deploy at datacenter scale. We design and extend Kube-like APIs, and we craft Go-based reconciliation controllers that thoughtfully turn high-level intent into production-ready AI infrastructure. We take pride in owning our code end-to-end, and we care deeply about the full lifecycle of multi-cloud GPU clusters, from customer onboarding and provisioning through upgrades and decommissioning. We partner closely with our runtime, cloud architecture, observability, and storage teams to solve sophisticated distributed systems challenges together. As a team, we're strengthening NVIDIA's approach to Cloud Native development.</div><div></div><div>
What you will be doing:</div><ul><li><div>
Develop software systems to support large scale deployments of cloud infrastructure</div></li><li><div>
Design and develop APIs to support Infrastructure as Code (IaC) automation and deployment workflows.</div></li><li><div>
Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services</div></li><li><div>
Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software</div></li><li><div>
Automate the validation of software solutions with unit and integration tests</div></li><li><div>
Participate in the ownership and health of CI/CD pipelines from dev to production environments</div></li><li><div>
Collaborate with other specialists for feedback on proposed designs and product direction</div></li><li><div>
Openly share successes and failures in a no blame environment</div></li></ul><div></div><div>
What we need to see:</div><ul><li><div>
BS in Computer Science, Information Systems, Computer Engineering or equivalent experience</div></li><li><div>
6+ years of proven experience in large scale software development</div></li><li><div>
Experience building and shipping services on Kubernetes</div></li><li><div>
Background with using and chipping in to open-source projects</div></li><li><div>
Collaborated with teams to write software to support cloud services at scale</div></li><li><div>
Programming experience in a relevant language, e.g. Golang, Python</div></li><li><div>
Communicate design and quality strategy in written, visual, and oral formats</div></li><li><div>
Experience with a wide range of modern infrastructure tools and technologies</div></li></ul><div></div><div>
Ways to stand out from the crowd:</div><ul><li><div>
Experience with Kubernetes Cluster API, Terraform, Tinkerbell, and other infrastructure tooling</div></li><li><div>
Practical experience with Azure, GCP, or AWS</div></li><li><div>
Capable of refactoring software to run in systems such as Kubernetes</div></li><li><div>
Ability to discuss and work with CSI, CNI, and CRI and/or familiarity with the CNCF and the tooling across the ecosystem</div></li><li><div>
Upstream contribution in open source projects</div></li></ul><div></div><div>
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 16, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Cloud Platform Software Engineer

Apple

<p>We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple&rsquo;s next-generation Generative AI platform. This role blends deep systems thinking, scalable backend development, and cutting-edge GenAI technologies such as Retrieval-Augmented Generation (RAG) and Agentic frameworks. You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you&rsquo;re excited about building production-grade GenAI infrastructure and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.<br>
<br>
<b>Description</b><br>
<br>
An ideal candidate should be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. You enjoy learning new technologies and have deep interest in either client/systems software design and programming or server side distributed system software development. You take responsibility; you feel a personal stake in the product you ship and for the end-user of it; you communicate responsibilities and scope clearly. The main responsibilities for this position include:&quot;,&quot;responsibilities&quot;:&quot;Leading effort to build large scale, distributed and highly available system and pipelines.<br>
<br>
Understanding of GenAI based platform and system including RAG, Agents Etc<br>
<br>
Design and develop solution using Java tech stack.<br>
<br>
Work with cross functional teams to drive requirements.<br>
<br>
Design and implement as per secure guidelines<br>
<br>
Work with QA to identify issues and fix it.<br>
<br>
Other aspects of the job include mentoring and providing feedback to junior developers, working with the team manager and PM in estimating scope and team capacity, responding to urgent requests from executives or business needs, and maintaining the stability and high reliability of our systems.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Excellent written and oral communication skills on both technical and non-technical topic.<br>
<br>
Strong experience working with Gen Ai based systems including RAG (Embedding or Chunking) and Agentic frameworks (e.g., LangChain, AutoGPT)<br>
<br>
Experience working with RAG Data ingestion pipelines, Vector DB and data platforms (e.g., Snowflake, Spark, Flink)<br>
<br>
Deep understanding of REST or GraphQL or gRPC APIs, authentication (OAuth, API keys), and distributed systems<br>
<br>
Experience in building, maintaining and enhancing RESTful web services using Spring boot for cloud platforms like AWS or GCP<br>
<br>
Strong grasp of software design principles (SOLID, DRY) and testing frameworks (Pytest, Jest).<br>
<br>
Ability to debug complex cross-platform issues and optimize performance.<br>
<br>
Ability to debug and improve ML workflow tuning for high accuracy.<br>
<br>
Ability to articulate technical concepts effectively to diverse audiences<br>
<br>
Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor's degree in Computer Science or similar degree or equivalent experience<br>
<br>
4+ years of software engineering experience in Java or Python<br>
<br>
Proven skills in designing scalable, highly available distributed systems which can handle high data volumes.<br>
<br>
Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies<br>
<br>
Experience in building, maintaining or enhancing RESTful web services using cloud platforms like AWS or GCP<br>
<br>
Extensive understanding of LLM&rsquo;s, RAG, or Agentic workflow<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Engineer (GenAi - Platform & Solution), AI & Data Platforms (AiDP)

SoFi

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p></p>
<p><b>The Role</b></p>
<p>
Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Software Engineers who are ready to learn and contribute to the development of the next generation of our financial services platform. Key qualifications of this role include:</p>
<ul>
<li>Taking ownership of delivering key improvements to platform subsystems.</li>
<li>Solid fundamentals in languages, common libraries and frameworks.</li>
<li>Implement improvements to systems leveraging well established patterns.</li>
<li>Writing clear and maintainable code as well as creating relevant test collateral.</li>
</ul>
<p><b>What You'll Do</b></p>
<p>
As a valuable contributor to our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new features, ensuring code quality, and contributing to the delivery of highly-available, scalable services. Success requires close coordination with Product, Marketing, Operations, Business, Legal, and Compliance teams.</p>
<p><b>
What You'll Need</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, or Software Engineering</li>
<li>2 years of professional full-time relevant work experience, including internships or research assistant roles.</li>
<li>Strong sense of ownership and willingness to learn unfamiliar systems.</li>
<li>Affinity for solving complex problems and the drive to dive deep into the technical details.</li>
<li>Proficiency in Java, Kotlin, or another modern object-oriented language.</li>
<li>Ability to follow established patterns and contribute to well‑defined features.</li>
<li>Ability to write clear, maintainable code and basic unit tests.</li>
<li>Understanding of relational and document database principles.</li>
</ul>
<p><b>Nice To Have</b></p>
<ul>
<li>Experience with GIT, Build Automation, and CI/CD Processes.</li>
<li>Understanding of fundamental distributed systems concepts.</li>
</ul>
<p>We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.</p><div><div><b>
Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Software Engineer, Loans Platform

Uber

<div><b>About the Role</b>
<br>
<br>
As a Staff Mobile Engineer on the Autonomous Mobility &amp; Delivery (AM&amp;D) team, you will define and drive the technical strategy behind Uber's next-generation rider, eater, and merchant experiences in an autonomous world. Our mission is to enable safe, informative, and magical customer experiences without human driver interaction, while scaling AV commercialization globally.
<br>
<br>
This is an organization-level technical leadership role. You will operate across iOS and Android surfaces, shaping mobile architecture, influencing multi-team execution, and ensuring that our mobile platforms can support evolving autonomous and marketplace dynamics. You will partner deeply with backend, marketplace, AV integration, product, design, operations, and external partners to deliver cohesive, end-to-end experiences.
<br>
<br>
Beyond shipping features, you will anticipate long-term architectural needs, identify systemic gaps, and design durable solutions that increase developer velocity, reduce technical debt, and improve reliability across teams. You will lead complex, multi-quarter initiatives from inception through production, ensuring strong execution discipline and operational excellence.
<br>
<br>
This role is ideal for a mobile technical leader who thrives in high-ambiguity, zero-to-one environments and wants to shape both product direction and engineering standards at scale.
<br>
<br>
<b>What You Will Do</b>
<br>
<ul><li>Define and drive the long-term mobile technical strategy across iOS and Android for Autonomous Mobility &amp; Delivery experiences
</li><li>Lead large, cross-team initiatives from ideation through design, implementation, launch, and operational ownership
</li><li>Architect scalable, modular, and maintainable mobile systems that support evolving autonomous and marketplace use cases
</li><li>Anticipate future product and architectural needs, proactively addressing scalability, performance, and reliability challenges
</li><li>Establish and promote mobile engineering best practices across architecture, testing, release processes, observability, and incident management
</li><li>Partner closely with product, design, backend, marketplace, and operations teams to deliver cohesive, end-to-end customer experiences
</li><li>Drive metrics-based execution, ensuring features are instrumented, measurable, and aligned with core business KPIs
</li><li>Improve engineering velocity and quality by reducing technical debt and strengthening development workflows
</li><li>Mentor senior engineers, elevate technical decision-making across teams, and raise the hiring bar through high-quality interviewing and feedback
</li></ul>- Basic Qualifications -
<br>
<ul><li>5+ years of professional software engineering experience
</li><li>5+ years of hands-on mobile development experience in iOS and/or Android
</li><li>Proven track record leading cross-team, multi-quarter technical initiatives from concept through production
</li><li>Demonstrated experience defining and evolving mobile architecture in large-scale, consumer-facing applications
</li><li>Strong expertise in modern mobile architecture patterns, modularization strategies, state management, and performance optimization
</li><li>Experience driving metrics-based product development with strong reliability and quality guardrails
</li><li>Experience improving engineering standards across teams, including code quality, testing strategy, release processes, and operational excellence
</li><li>Strong cross-functional collaboration skills, with experience partnering with product, design, backend, and operations stakeholders
</li></ul>- Preferred Qualifications -
<br>
<ul><li>Experience building and scaling large consumer mobile platforms in transportation, mobility, logistics, or other real-time systems
</li><li>Experience leading cross-platform architectural alignment across iOS and Android teams
</li><li>Deep experience with experimentation frameworks, funnel optimization, and data-informed product iteration
</li><li>Experience modernizing legacy mobile codebases while maintaining high product velocity
</li><li>Experience designing mobile systems that integrate tightly with complex backend and marketplace platforms
</li><li>Background working in fast-changing, zero-to-one product environments
</li><li>Experience mentoring senior engineers and developing future technical leaders
</li>Experience contributing to executive-level technical strategy discussions and org-wide engineering planning<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Staff Software Engineer - iOS

Software Engineer, AI Native

<p>Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge &amp; Information team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of apple intelligence, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. In our team, you will be leveraging and improving upon the latest LLM/ML techniques in order to understand queries, rank user intents, rank documents, and generate answers to users&rsquo; questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization.<br>
<br>
<b>Description</b><br>
<br>
As a member of our fast-paced group, you&rsquo;ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.&quot;,&quot;responsibilities&quot;:&quot;Build world class large language model at scale to power question and answering system for Siri<br>
<br>
Craft and develop core software infrastructure to support natural language understanding system in production<br>
<br>
Design and implement the low latency and high reliability runtime tech stacks for global search<br>
<br>
Design and develop data pipeline and infrastructure for large scale of data processing<br>
<br>
Evaluate and benchmark Apple natural language processing models, and deploy them to serve billions of Apple users<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field<br>
<br>
Experience in RAG, LLM Reasoning, and LLM Agent<br>
<br>
Experience working in a complex organization with multiple collaborators, strong track record in scaling and launching projects in this setting<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years of industry related experience, working in collaborate environments<br>
<br>
Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models<br>
<br>
Understanding product requirements and then translating them into modeling tasks and engineering tasks<br>
<br>
Building models for search relevance ranking, query understanding, and summarization<br>
<br>
BS or MS in Computer Science or related field<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Sr Machine Learning Engineer, Apple Search & Knowledge Platforms

<p>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.<br>
<br>
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.<br>
<br>
<b>Description</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Develop APIs, libraries, and services that improve the efficiency and usability of large-scale ML training and inference pipelines.<br>
<br>
Optimize performance and resource utilization across GPU/CPU clusters for ML workloads running at Apple scale.<br>
<br>
Collaborate with ML teams to understand model and pipeline needs and translate them into robust platform features.<br>
<br>
Design fault-tolerant orchestration mechanisms, autoscaling strategies, and runtime improvements for distributed ML jobs.<br>
<br>
Diagnose complex issues across distributed systems and ML pipelines to ensure reliability and availability.<br>
<br>
Improve observability, monitoring, and debugging capabilities targeted at ML-centric distributed workloads.<br>
<br>
Contribute to architectural decisions and, where appropriate, upstream enhancements to Ray and related tools.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience with distributed training frameworks (DeepSpeed, Horovod, FSDP, ZeRO).<br>
<br>
Background in optimizing GPU workloads or performance benchmarking.<br>
<br>
Experience with model orchestration systems or ML platforms.<br>
<br>
Contributions to open-source ML or distributed systems projects.<br>
<br>
Familiarity with large-scale data systems such as Spark, Flink, or similar.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
6+ years building distributed systems, high-scale backend services, or compute runtimes.<br>
<br>
Solid background in ML workflows, model training, model serving, or data pipeline development.<br>
<br>
Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java).<br>
<br>
Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with GPU-based training.<br>
<br>
Understanding of parallelism strategies, model scaling, or distributed training concepts.<br>
<br>
Experience with cluster orchestration (Kubernetes, EKS, GKE) or large-scale compute systems.<br>
<br>
Strong debugging skills across distributed and ML-centric runtime environments.<br>
<br>
Ability to work cross-functionally with ML engineers, data engineers, and infrastructure teams.<br>
<br>
B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or related technical fields - or comparable software engineering experience.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior / Staff ML Engineer, Apple Ray, Apple Data Platform

Explore 153+ Platform software engineer in Seattle this March. Find roles across top companies and apply now to boost your career.