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platform software engineer

Apple

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. 
 
Description 
 
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. 
 
Understanding of GenAI based platform and system including RAG, Agents Etc 
 
Design and develop solution using Java tech stack. 
 
Work with cross functional teams to drive requirements. 
 
Design and implement as per secure guidelines 
 
Work with QA to identify issues and fix it. 
 
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. 
 
Preferred Qualifications 
 
Excellent written and oral communication skills on both technical and non-technical topic. 
 
Strong experience working with Gen Ai based systems including RAG (Embedding or Chunking) and Agentic frameworks (e.g., LangChain, AutoGPT) 
 
Experience working with RAG Data ingestion pipelines, Vector DB and data platforms (e.g., Snowflake, Spark, Flink) 
 
Deep understanding of REST or GraphQL or gRPC APIs, authentication (OAuth, API keys), and distributed systems 
 
Experience in building, maintaining and enhancing RESTful web services using Spring boot for cloud platforms like AWS or GCP 
 
Strong grasp of software design principles (SOLID, DRY) and testing frameworks (Pytest, Jest). 
 
Ability to debug complex cross-platform issues and optimize performance. 
 
Ability to debug and improve ML workflow tuning for high accuracy. 
 
Ability to articulate technical concepts effectively to diverse audiences 
 
Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or similar degree or equivalent experience 
 
4+ years of software engineering experience in Java or Python 
 
Proven skills in designing scalable, highly available distributed systems which can handle high data volumes. 
 
Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies 
 
Experience in building, maintaining or enhancing RESTful web services using cloud platforms like AWS or GCP 
 
Extensive understanding of LLM&rsquo;s, RAG, or Agentic workflow 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div>
About the Role

As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive platform across SaaS, Mobile, and Embedded/IoT products. With a focus on secure and highly scalable distributed services, you will leverage technology such as Kubernetes, ArgoCD, Github Actions, Tekton/TPAC, Helm, Bash, Python and whatever the future may hold to advance an automated and easy to use and maintain ecosystem to support Golang, Ruby on Rails, and Python services (as well as Kotlin and C for our Mobile and Embedded friends!). If creating direction for and implementing top-tier development tools, automation, infrastructure, and release pipelines, while providing guidance and mentorship to fellow engineers excites you, then Motive has the perfect role for you.

What You'll Do
<ul>
<li>Help define the direction and initiatives for the team and platform.</li>
<li>Strategize and build fully automated bootstrapping and delivery pipelines.</li>
<li>Progress and evangelize self-service engineering technologies and approaches.</li>
<li>Advance the local development experience while maintaining consistency.</li>
<li>Build self-healing infrastructure that enables fast, robust automated testing.</li>
<li>Improve the performance and reliability of existing systems.</li>
<li>Host Brown Bag sessions, demos, and more to drive adoption and collaboration.</li>
<li>Coach and mentor team engineers and collaborate on designs.</li>
</ul>
What We're Looking For

We are looking for someone with advanced knowledge and experience in creating and improving systems that will help the engineering org to function more efficiently. This individual will have prior experience in some or all of the following:
<ul>
<li>6+ years engineering experience</li>
<li>B.S. Degree in Engineering or related field</li>
<li>Building CI/CD infrastructure with multiple pipeline solutions over the years ( such as Tekton, Prow, CircleCI, Jenkins, Spinnaker, Github Actions, etc.)</li>
<li>Improving the SDLC release process.</li>
<li>Streamlining microservice creation mechanisms.</li>
<li>Streamlining developer's local environments (Ansible, local kubernetes, etc.)</li>
<li>Git flow and versioning strategy expertise.</li>
<li>Working with mechanisms that facilitate reproducible builds across the org.</li>
<li>Practicing and advocating for best engineering practices throughout the org.</li>
<li>Experience improving the developer experience with multiple stakeholders in a large organization.</li>
<li>Experience in Golang, Ruby on Rails, Python or similar languages.</li>
<li>Working knowledge of AWS services and technologies.</li>
<li>Experience with infrastructure as code and configuration management (Terraform, Ansible, Helm, etc.)</li>
<li>Experience with large scale distributed release management processes.</li>
<li>Experience in a containerized world with orchestration frameworks such as Kubernetes.</li>
</ul>
Bonus Skills to have
<ul>
<li>Experience with Gerrit and Android OS (AOSP) build systems</li>
<li>Experience with embedded systems builds and compiles</li>
</ul>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.<div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Staff Platform Engineer

University Of Washington

<div>Job Description
The Department of Astronomy has an outstanding opportunity for a Research Software Engineer to join the LINCC Frameworks Team. Two Positions Available.
About this Opportunity
The next generation of astronomical surveys, including those scheduled to be conducted by the NSF-DOE Vera C. Rubin Observatory and the recently announced Schmidt Observatories, will provide unprecedented data sets with the potential to answer fundamental questions about the universe. At the same time, the flood of data will introduce new computational challenges.
We are looking for Software Engineers to work at the intersection of state of the art computer science and cutting edge astrophysics. The engineers will design and build analysis frameworks that run on the cloud or high-performance computing (HPC) systems that can store, search, analyze and annotate data of the volume and complexity of the Rubin Observatory&rsquo;s Legacy Survey of Space and Time (LSST) data. These frameworks will provide an interface for the astronomical community to run real time and batch analyses (e.g. to search for one-in-a-million events in continuous streams of data). You will shape, drive, and execute this vision to build scalable software that can help shape the future of astronomical research.
As a Systems Software Engineer you will work with engineering teams at the University of Washington and Carnegie Mellon University. You will develop new cloud-based and HPC software platforms that will use cutting edge computer science techniques to enable the analysis of time series and static data from the next generation of surveys. You will work with astronomers and scientists to integrate their analysis code into these scalable analysis frameworks utilizing tools such as Spark and Dask. The majority of development will be in Python with some performance critical code in C/C++/Rust. Development will incorporate software best practices such as peer code review, to produce secure, testable, maintainable, and extensible code. You will participate in the hiring process and mentor others - improving their skills, their knowledge of your software, and their ability to get things done.
Core Responsibilities:
Software Design and Development (40%): Design, develop, and maintain scalable analysis frameworks for cloud-based and HPC systems using cutting-edge computer science techniques, enabling the astronomical community to store, search, analyze, and annotate large-scale time series and static data from LSST and the Schmidt Observatories. Primary development in Python, with performance-critical components in C, C++, or Rust.
Software Design and Development (40%): Design, develop, and maintain scalable analysis frameworks for cloud-based and HPC systems that enable the astronomical community to store, search, analyze, and annotate large-scale time series and static data from LSST and the Schmidt Observatories. Primary development in Python, with performance-critical components in C, C++, or Rust.
Scientific Integration and Collaboration (20%): Work directly with astronomers and scientists at UW and Carnegie Mellon University to understand research needs and integrate scientific analysis code into scalable frameworks, utilizing tools such as Spark and Dask.
Software Quality and Engineering Best Practices (15%): Implement and uphold software engineering best practices including peer code review, version control, testing, and documentation to produce secure, testable, maintainable, and extensible code. Perform analysis and troubleshooting for software issues and process challenges.
Problem Resolution/Project Tasks (15%):
<ul><li>Perform analysis and troubleshooting for application issues and process challenges
</li><li>Responsible for the successful completion of assigned project tasks with minimum supervision
</li></ul>Cross-Functional Team Participation (10%): Function within cross-domain teams spanning astronomy and computer science. Contribute to team discussions aimed at advancing project goals, learn new skills and technologies as needed, and solve meaningful problems through technical innovation
Minimum Requirements:
<ul><li>Bachelor&rsquo;s Degree, computer science or related field
</li><li>A minimum of 3 years of experience in software development
</li><li>1-3 years of programming experience in an industrial or academic role
</li></ul>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Additional Requirements
<ul><li>Programming experience with at least one modern language such as Python, Java, C++ including object-oriented design
</li></ul>Desired Qualifications:
<ul><li>Experience with software design and engineering best practices such as source control and code reviews
</li><li>Experience with distributed computing frameworks such as Spark or Dask
</li><li>Experience developing software for cloud-based or high-performance computing (HPC) environments
</li><li>Experience with performance-critical programming in C, C++, or Rust
</li><li>Familiarity with astronomical data, surveys, or scientific computing workflows
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$117,600.00 annual
Pay Range Maximum:
$142,392.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Research Software Engineer, LINCC Frameworks (2 positions)

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>
About the Role

As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive platform across SaaS, Mobile, and Embedded/IoT products. With a focus on secure and highly scalable distributed services, you will leverage technology such as Kubernetes, ArgoCD, Github Actions, Tekton/TPAC, Helm, Bash, Python and whatever the future may hold to advance an automated and easy to use and maintain ecosystem to support Golang, Ruby on Rails, and Python services (as well as Kotlin and C for our Mobile and Embedded friends!). If creating direction for and implementing top-tier development tools, automation, infrastructure, and release pipelines, while providing guidance and mentorship to fellow engineers excites you, then Motive has the perfect role for you.

What You&rsquo;ll Do
<ul>
<li>Help define the direction and initiatives for the team and platform.</li>
<li>Strategize and build fully automated bootstrapping and delivery pipelines.</li>
<li>Progress and evangelize self-service engineering technologies and approaches.</li>
<li>Advance the local development experience while maintaining consistency.</li>
<li>Build self-healing infrastructure that enables fast, robust automated testing.</li>
<li>Improve the performance and reliability of existing systems.</li>
<li>Host Brown Bag sessions, demos, and more to drive adoption and collaboration.</li>
<li>Coach and mentor team engineers and collaborate on designs.</li>
</ul>
What We&rsquo;re Looking For

We are looking for someone with advanced knowledge and experience in creating and improving systems that will help the engineering org to function more efficiently. This individual will have prior experience in some or all of the following:
<ul>
<li>6+ years engineering experience</li>
<li>B.S. Degree in Engineering or related field</li>
<li>Building CI/CD infrastructure with multiple pipeline solutions over the years ( such as Tekton, Prow, CircleCI, Jenkins, Spinnaker, Github Actions, etc.)</li>
<li>Improving the SDLC release process.</li>
<li>Streamlining microservice creation mechanisms.</li>
<li>Streamlining developer's local environments (Ansible, local kubernetes, etc.)</li>
<li>Git flow and versioning strategy expertise.</li>
<li>Working with mechanisms that facilitate reproducible builds across the org.</li>
<li>Practicing and advocating for best engineering practices throughout the org.</li>
<li>Experience improving the developer experience with multiple stakeholders in a large organization.</li>
<li>Experience in Golang, Ruby on Rails, Python or similar languages.</li>
<li>Working knowledge of AWS services and technologies.</li>
<li>Experience with infrastructure as code and configuration management (Terraform, Ansible, Helm, etc.)</li>
<li>Experience with large scale distributed release management processes.</li>
<li>Experience in a containerized world with orchestration frameworks such as Kubernetes.</li>
</ul>
Bonus Skills to have
<ul>
<li>Experience with Gerrit and Android OS (AOSP) build systems</li>
<li>Experience with embedded systems builds and compiles</li>
</ul>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.</div><div><div><div><div>
Pay Transparency 
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks &amp; Benefits. 
 
The compensation range for this position will depend on where you reside. For this role, the compensation range is:</div></div>
United States
$181,000 - $226,000 USD</div></div><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Staff Platform Engineer New

<div>Job Description
<div>The Department of Astronomy has an outstanding opportunity for a Research Software Engineer - Technical Program Manager to join the LINCC Frameworks Team.
</div><div>About this Opportunity
</div><div>The next generation of astronomical surveys, including those scheduled to be conducted by the NSF-DOE Vera C. Rubin Observatory and the recently announced Schmidt Observatories, will provide unprecedented data sets with the potential to answer fundamental questions about the universe. At the same time, the flood of data will introduce new computational challenges.
</div><div>We are looking for a Technical Program Manager (TPM) to work at the intersection of state of the art computer science and cutting edge astrophysics. The TPM will manage software requirements and scope, software delivery, partner engagements and community efforts with Rubin Observatory, the Schmidt Observatories, and the broader astronomical community. The TPM will also contribute to the design and development of analysis frameworks that run on the cloud or high-performance computing (HPC) systems that can store, search, analyze and annotate data of the volume and complexity of the Rubin Observatory&rsquo;s Legacy Survey of Space and Time (LSST) data. These frameworks will provide an interface for the astronomical community to run real time and batch analyses ( e.g. to search for one-in-a-million events in continuous streams of data). You will shape, drive, and execute this vision to build scalable software that can help shape the future of astronomical research.
</div><div>As a Technical Program Manager (TPM) you will work with engineering teams at the University of Washington and Carnegie Mellon University. You will manage the development of new cloud-based and HPC software platforms that will use cutting edge computer science techniques to enable the analysis of time series and static data from the next generation of surveys. The majority of development is in Python with some performance critical code in C/C++/Rust. Development incorporates software best practices such as peer code review, to produce secure, testable, maintainable, and extensible code. To succeed in this role, you should be passionate about research, basic and applied science, possess technical and analytical skills, terrific cross-group collaboration skills, and a natural ability to connect with stakeholders to achieve mutual wins and outcomes. You should be creative with superior analytical abilities, have a track record of delivery in a software and technology environment with a can-do attitude.
</div><div>Core Responsibilities:
</div><div>Technical Program Management (40%): Lead product planning for end-to-end scenarios based on user, customer, and community inputs; define OKRs and establish and execute plans for improving key results; manage software requirements, scope, and delivery across engineering teams at UW and Carnegie Mellon University; prepare and deliver high-quality executive reviews to ensure strategic alignment with leadership; generate energy and alignment across teams with clear customer and program goals.
</div><div>Software Design and Development (20%): Contribute to the design and development of scalable cloud-based and HPC analysis frameworks enabling the astronomical community to store, search, analyze, and annotate large-scale time series and static data from LSST and the Schmidt Observatories; primary development in Python, with performance-critical components in C, C++, or Rust. 
</div><div>Scientific Collaboration and Requirements Gathering (20%): Partner with Rubin Observatory, Schmidt Observatories, and the broader astronomical community; work directly with astronomy researchers to identify use cases, co-create software specifications, and integrate scientific analysis code into scalable frameworks; partner with software developers on scenarios, feature/product tradeoffs, priorities, and incremental value delivery; present to customers and other stakeholders and use feedback to continuously improve the product. Contribute to team discussions aimed at advancing project goals and solve meaningful problems through technical innovation.
</div><div>Software Quality and Engineering Best Practices (20%): Implement and uphold software engineering best practices including peer code review, version control, testing, and documentation to produce secure, testable, maintainable, and extensible code; function within diverse cross-domain teams, learn new skills and technologies as necessary, and solve meaningful problems through technical innovation. Responsible for the successful completion of assigned project tasks with minimum supervision.
</div><div>Adaptability, excellence, and passion are vital qualities within the University of Washington . We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
</div><div>Minimum Requirements:
</div><div><ul><li>Bachelor&rsquo;s Degree, computer science or related field
</li><li>Minimum of 3 years of programming or technical management experience in an industrial or academic role
</li></ul>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Additional Requirements
<ul><li>Programming experience with at least one modern language such as Python, Java, C++ including object-oriented design
</li></ul></div><div>Desired Qualifications:
</div><div><ul><li>Strong understanding of all phases of software development lifecycle (SDLC)
</li><li>Experience creating high quality software specification documents and partnering with developers to define feature scope and estimates.
</li><li>Track record running agile software development processes and experience with modern SDLC and DevOps / MLOps tools
</li><li>Experience working with open-source software / open-source community
</li></ul></div>Compensation, Benefits and Position Details
Pay Range Minimum:
$117,600.00 annual
Pay Range Maximum:
$142,392.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Research Software Engineer - Technical Program Manager, LINCC Frameworks

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. 
 
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are looking for a Software Data Engineer to join our team and contribute to building modern data platform capabilities. In this role, you will work on systems that enable data engineers across Apple to build applications efficiently while maintaining high standards of data quality, reliability, and operational excellence. You will have the opportunity to work with cutting-edge data technologies and grow your expertise in AI-enhanced engineering practices. 
 
Description 
 
As a Software Data Engineer on the APX Bedrock team, you will be a hands-on contributor building and enhancing the platform services that power data engineering at Apple. You will work closely with senior engineers and architects to deliver reliable, scalable solutions that have a tangible impact on data teams across the organization. 
 
<ul><li>Design, develop, and maintain Java-based backend services and APIs that support core platform capabilities including metadata collection, dataset lifecycle management, and orchestration</li></ul> 
<ul><li>Build and optimize data processing pipelines using distributed computing frameworks</li></ul> 
<ul><li>Design and implement data models that accurately represent complex domain concepts and support efficient querying and storage patterns</li></ul> 
<ul><li>Implement systems for monitoring dataset health, tracking completeness, and enforcing quality standards</li></ul> 
<ul><li>Write clean, well-tested, production-quality code in Java as the primary language, with Scala, Go, or Python as complementary skills</li></ul> 
<ul><li>Own database design decisions including schema design, indexing strategies, and query optimization for both relational and non-relational data stores</li></ul> 
<ul><li>Participate in operational responsibilities including on-call rotations, incident response, and system health monitoring</li></ul> 
<ul><li>Collaborate with peer teams across the platform organization to integrate and deliver cohesive capabilities</li></ul> 
<ul><li>Leverage AI-powered development tools to accelerate development and improve code quality</li></ul> 
<ul><li>Engage with internal users to understand their needs and translate feedback into platform improvements</li></ul> 

Preferred Qualifications 
 
Experience with non-relational or NoSQL databases and understanding of when to apply different data storage paradigms 
 
Proficiency in Scala, Go, or Python as complementary programming languages 
 
Familiarity with container orchestration tools such as Kubernetes 
 
Exposure to AI-powered development tools and practices (e.g., Claude Code, Copilot) 
 
Experience with data quality monitoring, metadata management, or dataset lifecycle tracking 
 
Understanding of streaming data architectures and real-time processing patterns 
 
Experience with event-driven architectures and distributed messaging systems 
 
Strong communication skills and comfort collaborating across teams 
 
Curiosity and eagerness to learn new technologies and take on increasing responsibility 
 
Minimum Qualifications 
 
Bachelor's Degree in Computer Science, Engineering, or equivalent related experience 
 
3+ years of hands-on experience building data applications, backend services, or platform services 
 
Strong, production-level programming experience in Java, including building and maintaining RESTful or RPC-based services 
 
Solid experience with relational databases including schema design, data modeling, and query optimization using SQL 
 
Experience with distributed data technologies such as Apache Spark or Apache Flink, Hadoop, HDFS, Kafka 
 
Familiarity with workflow orchestration concepts and tools such as Apache Airflow 
 
Demonstrated ability to build, test, and operationally maintain reliable software systems in production environments 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Software Data Engineer

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/) 
 
Description 
 
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. 
 
Preferred Qualifications 
 
MS or Ph. D in Computer Science or a related field 
 
Deep understanding of machine learning and deep learning algorithms 
 
Experience in LLM, machine learning, deep learning, information retrieval or natural language processing 
 
Strong analytical and independent problem-solving skills 
 
Experience working in cross-functional teams across product, design, and infrastructure 
 
Minimum Qualifications 
 
5+ years of increasing responsibility and relevant experience 
 
Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field. 
 
Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields. 
 
Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication 
 
Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift 
 
Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Machine Learning Engineer, Apple Intelligence Data Platform

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