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cloud 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>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

<p>Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we&rsquo;d love to hear from you. We&rsquo;re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple&rsquo;s ecosystem - including Siri Suggestions, the Shortcuts app, and more - by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud - adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more. Our team has a great mix of talent across Machine Learning and Software Engineering. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. Proactive Intelligence is central to Apple Intelligence. We&rsquo;re building a contextual, on-device platform that anticipates user needs - from predicting which app you'll launch next to understanding the difference between work and leisure modes. This is your opportunity to help shape the next generation of personal, privacy-preserving intelligence for millions of users! https://www.apple.com/apple-intelligence/ (https://www.apple.com/apple-intelligence/)<br>
<br>
<b>Description</b><br>
<br>
As an engineer on the Apple Intelligence Data Platform team, you will work on developing and integrating foundational components for on-device and cloud-based intelligence. You will focus on designing, building, and deploying scalable agent systems that understand your context and personal knowledge. Your work will directly influence how users interact with Apple products through context-aware, proactive, and personalized experiences. This role is ideal for candidates with hands-on experience in Vector databases, Knowledge Graphs, Semantic Search, Retrieval-Augmented Generation (RAG), decoding strategies, Generative AI inference, and prompt optimization. You will collaborate closely with several engineering teams at Apple -such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them to our customers.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
MS or Ph. D in Computer Science or a related field<br>
<br>
Deep understanding of machine learning and deep learning algorithms<br>
<br>
Experience in LLM, machine learning, deep learning, information retrieval or natural language processing<br>
<br>
Strong analytical and independent problem-solving skills<br>
<br>
Experience working in cross-functional teams across product, design, and infrastructure<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
5+ years of increasing responsibility and relevant experience<br>
<br>
Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field.<br>
<br>
Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields.<br>
<br>
Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication<br>
<br>
Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift<br>
<br>
Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering<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>

Senior Machine Learning Engineer, Apple Intelligence Data Platform

<p>The Apple Cloud Engineering team is looking for an exceptional software engineer to create highly performant and energy efficient systems that will power the next generation of data centers.<br>
<br>
We&rsquo;re looking for an engineer who can build and use models of our Data Centers to inform critical architectural decisions, who can write code for power and thermal management systems, and who can effectively lead and participate in cross-functional requirements engineering efforts during early architecture phases of development.<br>
<br>
If you are interested in working at the intersection of hardware and software for large scale, high visibility, and high impact projects, then this role will be exciting for you.<br>
<br>
<b>Description</b><br>
<br>
You will work cross-functionally with architecture, platform design, SOC architects, and software teams to develop and integrate best in class hardware, software and services. You will be responsible for architecting, developing, and on-boarding other engineers to maintain system software that powers next generation of data centers. As a member of the team, you will participate in all stages of software development, from new feature design and implementation, to maintenance and bug fixing of released code. You will build models for data center power and thermal systems that can inform critical architectural decisions. You will also use those models to ensure system functionality, verify requirements, understand failure modes, and ensure operation within defined limits.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Formal training in systems engineering<br>
<br>
Experience with distributed systems including leader election<br>
<br>
Data center power systems development experience<br>
<br>
Control systems development including transfer function development experience<br>
<br>
Experience working with factory processes and system bring-up<br>
<br>
Experience in calculating total cost of ownership (TCO)<br>
<br>
Strong understanding of infrastructure and platform system reliability calculations and fault domains<br>
<br>
Experience with hardware resource planning<br>
<br>
Experience with hardware deployment models<br>
<br>
Experience with Apple development tools<br>
<br>
Experience presenting architectural concepts and designs to executives<br>
<br>
Passion for software architecture, APIs and high performance extensible software.<br>
<br>
Passion for hardware and maximizing it&rsquo;s efficiency, performance, and overall utility through thoughtful software architecture<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
7+ years of industry experience as a system software developer<br>
<br>
Experience with tools used in systems dynamics or systems engineering fields such as JMP, Matlab, Simulink, Cameo, or equivalent<br>
<br>
Expertise in C, C++, Objective-C, or Swift<br>
<br>
Strong understanding of OS architecture and systems programming fundamentals<br>
<br>
Proficient at debugging complex interdisciplinary systems<br>
<br>
Experience with requirements engineering<br>
<br>
Excellent communication skills<br>
<br>
Creative, collaborative, and product-focused<br>
<br>
B.S. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, Systems Engineering, or equivalent 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>

Sr. System Software Engineer, Apple Data Centers

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
<br>
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
<br>
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
<br>
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
<br>
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
<br>
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
<br>
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<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>

Sr. Data Engineer

<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)

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role:</b> CADD Station Developer</div><div><b>
Location:</b> Seattle, WA<br>
<b>FTE</b></div><div><b><br>
Job Description</b></div><div>
Must Have Technical/Functional Skills</div><ul><li>5+ years of experience with Computing and Programming language like C++, C, across native Unix platforms.</li><li>Deep knowledge of software/hardware compatibility and solutions approach.</li><li>Experience with Project Management Tools like Team Foundation Server, Quality Center</li><li>Experience with Relational Databases such as SQL-Server, Oracle, Teradata</li><li>Experience with Configuration Control Tools such as GIT, Visual Source Safe, Clear Case, SCCS</li><li>Experience with Windows, Solaris, Linux (Oracle 8+ and Red Hat 6-7) Operating Systems</li><li>Experience with Documentation Tools such as Microsoft tools such as Word, Visio, and PowerPoint</li><li>Experience in developing software solutions in the Java/modern programming language.</li><li>Experience with developing web applications</li></ul><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><ul><li>Leads and performs the design, program, test, implementation and documentation of complex computing applications and software or computing architecture and computing application system designs in Electrical Engineering Systems</li><li>Maintains the CADDStation suite of application running on Solaris system hosted on Linux OS.</li><li>Monitors and maintains the CADDStation Ecosystem hosted on Solaris platform</li><li>Leads analysis of end user processes to define application requirements</li><li>Contributes with complex Unix based solutions for hardware/software upgrade and refactoring.</li><li>Modifies or upgrades complex applications to maintain functionality and performance in Electrical Domain</li><li>Identifies and recommends improvements</li><li>Identifies and resolves complex programming or application architecture problems</li><li>Identifies issues and provide solutions to multiple issues that may be found</li></ul><div></div><div><b><br>
Generic Managerial Skills, If any</b></div><ul><li>Effective leadership and mentorship skills.</li><li>Exceptional communication to bridge technical and non-technical teams.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to manage multiple programs and priorities simultaneously.</li><li>Stakeholder management and cross-functional collaboration.</li></ul><div></div><div><b><br>
Preferred Qualifications (Desired Skills/Experience):</b></div><ul><li>Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degrees</li><li>Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling</li><li>Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server</li><li>Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure</li><li>Experience with Cloud technologies and/or Cloud-native app development and microservices</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

CADD Station Developer-6

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