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systems engineer

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div><h2 class="jobSectionHeader">
We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don't have to worry!</h2>

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.
<h2 class="jobSectionHeader">
What You'll Be Doing:</h2>
<ul><li>Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization</li>
<li>Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution</li>
<li>Participate in 24/7 on-call rotation with other members of the team</li>
<li>Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components</li>
<li>Develop and maintain standards and practices for DigitalOcean hardware operations</li>
<li>Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns</li>
<li>Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks</li>
<li>Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps</li>
<li>Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting</li>
<li>Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them</li>
</ul><h2 class="jobSectionHeader">What We'll Expect From You:</h2>
<ul><li>Technical Degree (BS Computer Science/Engineering) or equivalent practical experience</li>
<li>Hands-on experience operating a cloud infrastructure at mid-tier scale or better</li>
<li>An in-depth understanding of server hardware, firmware, and infrastructure</li>
<li>Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience</li>
<li>Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$107,000 - $134,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7601

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Systems Engineer II

Apple

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. 
 
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. 
 
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! 
 
Description 
 
Work cross-functionally with architecture, platform design, SOC architects, and software teams to develop and integrate best in class hardware, software and services. This role 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, participate in all stages of software development, from new feature design and implementation, to maintenance and bug fixing of released code. Build models for data center power and thermal systems that can inform critical architectural decisions. Use those models to ensure system functionality, verify requirements, understand failure modes, and ensure operation within defined limits. 
 
Preferred Qualifications 
 
Formal training in systems engineering. 
 
Strong understanding of infrastructure and platform system reliability calculations and fault domains. 
 
Experience with distributed systems including leader election. 
 
Data center power systems development experience. 
 
Control systems development including transfer function development experience. 
 
Experience with hardware deployment models. 
 
Experience working with factory processes and system bring-up. 
 
Experience in calculating TCO. 
 
Experience with Apple development tools. 
 
Experience presenting architectural concepts and designs to executives. 
 
Passion for software architecture, APIs and high performance extensible software. 
 
Passion for hardware and maximizing its efficiency, performance, and overall utility through thoughtful software architecture. 
 
Minimum Qualifications 
 
7+ years of industry experience as a system software developer. 
 
Bachelors or Masters in Computer Science, Computer Engineering, or equivalent experience. 
 
Experience with tools used in systems dynamics or systems engineering fields such as JMP, Matlab, Simulink, Cameo, or equivalent. 
 
Expertise in C, C++, Objective-C, or Swift. 
 
Strong understanding of OS architecture and systems programming fundamentals. 
 
Proficient at debugging complex interdisciplinary systems. 
 
Experience with requirements engineering. 
 
Excellent communication skills. 
 
Creative, collaborative, and product-focused. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Software Engineer, Data Center Systems Design Engineer

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
Job Title: PSA Engineer - Network Transmission (Energy Domain) 
Location &ndash; Seattle, WA / Melbourne, FL 
Contract<div>
Job Description</div><div>
Must Have Technical/Functional Skills</div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div> 
Roles &amp; Responsibilities</div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div> 
Generic Managerial Skills</div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div>
Required Skills
CLOUD SECURITY ENGINEER DEVOPS ENGINEER DEVOPS SECURITY ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

PSA Engineer / Network Transmission (Energy Domain)-6

The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple&rsquo;s unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads. 
 
You will contribute to the distributed runtime, orchestration layer, and system APIs that power Apple&rsquo;s intelligent features across products and services. This role is ideal for a software engineer who enjoys low-level systems work but is also fluent in ML workflows and models at scale. 
 
Description 
 
Apple Ray integrates deeply with Apple&rsquo;s data and ML ecosystem to provide a unified platform for building, orchestrating, and scaling complex ML and data pipelines. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure. 
 
You will build features that enhance developer productivity for ML engineers, improve resource efficiency, and advance the performance and reliability of Apple&rsquo;s ML workloads. You&rsquo;ll collaborate closely with ML practitioners to translate model and pipeline needs into robust platform capabilities, while also improving the underlying distributed runtime and control plane. 
 
This role requires strong engineering fundamentals, hands-on experience with ML systems, and a passion for building scalable infrastructure.&quot;,&quot;responsibilities&quot;:&quot;Build scalable distributed systems and platform components using Ray that power Apple&rsquo;s data+ML workflows. 
 
Develop APIs, libraries, and services that improve the efficiency and usability of large-scale ML training and inference pipelines. 
 
Optimize performance and resource utilization across GPU/CPU clusters for ML workloads running at Apple scale. 
 
Collaborate with ML teams to understand model and pipeline needs and translate them into robust platform features. 
 
Design fault-tolerant orchestration mechanisms, autoscaling strategies, and runtime improvements for distributed ML jobs. 
 
Diagnose complex issues across distributed systems and ML pipelines to ensure reliability and availability. 
 
Improve observability, monitoring, and debugging capabilities targeted at ML-centric distributed workloads. 
 
Contribute to architectural decisions and, where appropriate, upstream enhancements to Ray and related tools. 
 
Preferred Qualifications 
 
Experience with distributed training frameworks (DeepSpeed, Horovod, FSDP, ZeRO). 
 
Background in optimizing GPU workloads or performance benchmarking. 
 
Experience with model orchestration systems or ML platforms. 
 
Contributions to open-source ML or distributed systems projects. 
 
Familiarity with large-scale data systems such as Spark, Flink, or similar. 
 
Minimum Qualifications 
 
6+ years building distributed systems, high-scale backend services, or compute runtimes. 
 
Solid background in ML workflows, model training, model serving, or data pipeline development. 
 
Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java). 
 
Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with GPU-based training. 
 
Understanding of parallelism strategies, model scaling, or distributed training concepts. 
 
Experience with cluster orchestration (Kubernetes, EKS, GKE) or large-scale compute systems. 
 
Strong debugging skills across distributed and ML-centric runtime environments. 
 
Ability to work cross-functionally with ML engineers, data engineers, and infrastructure teams. 
 
B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or related technical fields - or comparable software engineering experience. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, 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 / Staff ML Engineer, Apple Ray, Apple Data Platform

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. 
 
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. 
 
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. 
 
Description 
 
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. 
 
Preferred Qualifications 
 
Formal training in systems engineering 
 
Experience with distributed systems including leader election 
 
Data center power systems development experience 
 
Control systems development including transfer function development experience 
 
Experience working with factory processes and system bring-up 
 
Experience in calculating total cost of ownership (TCO) 
 
Strong understanding of infrastructure and platform system reliability calculations and fault domains 
 
Experience with hardware resource planning 
 
Experience with hardware deployment models 
 
Experience with Apple development tools 
 
Experience presenting architectural concepts and designs to executives 
 
Passion for software architecture, APIs and high performance extensible software. 
 
Passion for hardware and maximizing it&rsquo;s efficiency, performance, and overall utility through thoughtful software architecture 
 
Minimum Qualifications 
 
7+ years of industry experience as a system software developer 
 
Experience with tools used in systems dynamics or systems engineering fields such as JMP, Matlab, Simulink, Cameo, or equivalent 
 
Expertise in C, C++, Objective-C, or Swift 
 
Strong understanding of OS architecture and systems programming fundamentals 
 
Proficient at debugging complex interdisciplinary systems 
 
Experience with requirements engineering 
 
Excellent communication skills 
 
Creative, collaborative, and product-focused 
 
B.S. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, Systems Engineering, or equivalent experience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. System Software Engineer, Apple Data Centers

Qumulo

<div>
 
 About The Company
 
 
 
 Qumulo is the leading file data platform for multi cloud environments, providing outstanding freedom, control, and real-time visibility for file data at substantial scale. Fortune 500 companies, major film studios, and the largest research facilities in the world trust Qumulo to help them innovate with their most important digital files. The Qumulo experience makes file data management simple with continuous new features, a single solution for all workloads, and access to customer success specialists on your schedule.
 
 
 At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. As part of our culture we believe diversity drives innovation.
 
 
 
 About The Position
 
 
 
 At Qumulo, we've built a truly outstanding modern file data platform from scratch. Our software runs natively in the public cloud or in private data centers, allowing our customers to truly Scale Anywhere. It&rsquo;s incredibly exciting work and there is a lot more to do to make our full vision reality. As a new Engineer at Qumulo you will join a feature team and immediately begin writing, testing and deploying production code. Your work will take an innovative product to the next level, see that effort fuel customer innovation, and grow the Qumulo business.
 
 
 We hire committed, adaptive engineers with a diverse set of backgrounds and who we can depend on to solve problems head on. Our engineers work collaboratively both within the product development organization and across the company to ship a continuously integrated and deployed code base. Engineers at Qumulo work alongside people who have an appetite for collaborative coding environments. It's a community where individual engineers have a voice. Our teams are given the charter to design and build the features that deliver clear value to our customers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with team members on design, code reviews, and pair programming
 </li>
 <li>
 Collaborate with team members and area leads on architecture and design of new/updated features
 </li>
 <li>
 Contribute to feature development and testing using C, Rust and Python
 </li>
 <li>
 Define and implement customer-facing features and internal improvements
 </li>
 <li>
 Help debug and fix test failures and product or service issues
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Ability to write well-factored and well-tested code
 </li>
 <li>
 Strong grasp of algorithms and data structures, with some experience in distributed systems, database concepts, concurrent programming, or operating systems concepts
 </li>
 <li>
 At least one class, internship or personal project using C, C++, Rust, Java, or Go
 </li>
 <li>
 Willingness to work collaboratively with a team to solve complex problems
 </li>
 <li>
 Finishing a BS or BA in Computer Science or Computer Engineering or equivalent experience
 
 
 </li>
 </ul>
 The annual pay range for the role is USD $127,000 - $191,000.
 
 
 Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.
 
 
 Please note that employment at Qumulo is contingent upon completion of a satisfactory background check.
 
 
 For more information on our Applicant and Employee Privacy Notice please click on the link below:
 
 
 
 Privacy Notice
 
</div>

Software Development Engineer: Entry-Level

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. 
 
Come join us to build large-scale personalized recommender systems for Apps &amp; Games, Video, Fitness+, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide. 
 
Description 
 
In this role, you will be responsible for operationalizing machine learning models-from building real-time and batch inference pipelines to optimizing system performance, reliability, and experimentation velocity. You&rsquo;ll help bridge the gap between research and production by developing the infrastructure, tooling, and monitoring required to ship ML-driven features safely and efficiently. 
 
If you are an engineer who enjoys scaling ML solutions, building production-grade services, and driving experimentation across billions of users, this is your opportunity to make a meaningful impact.&quot;,&quot;responsibilities&quot;:&quot;Partner with ML researchers and product teams to transition models into production, ensuring reliability, scalability, and low latency. 
 
Design and implement robust inference services using object-oriented languages (e.g., Java, Scala, C++) that operate at scale across Apple platforms. 
 
Build and manage data pipelines and model execution frameworks to support both batch and streaming use cases. 
 
Develop tooling and infrastructure for model deployment, versioning, rollback, and online evaluation. 
 
Lead A/B testing efforts, including integration, metric tracking, experiment validation, and performance analysis. 
 
Collaborate with infrastructure teams to improve observability, alerting, and model health monitoring. 
 
Drive continuous improvement in latency, throughput, fault tolerance, and overall system reliability. 
 
Preferred Qualifications 
 
Experience in batch and real-time inference serving, including autoscaling and traffic management. 
 
Background in content recommendation systems, search ranking, or user engagement optimization. 
 
Experience with CI/CD workflows for ML systems, including safe model rollouts and shadow testing. 
 
Exposure to containerized deployments and orchestration (Kubernetes, Docker). 
 
Experience building and deploying production-grade applications using LLMs, including expertise in prompt engineering, RAG pipelines, and framework orchestration. 
 
Proven track record of developing autonomous agents capable of multi-step reasoning, external tool integration, and complex task decomposition to solve open-ended problems. 
 
Prior experience working on consumer-scale media products (apps, games, books, music, or video). 
 
Minimum Qualifications 
 
MS or PhD in Computer Science, Software Engineering, or related field. 
 
8+ years of deep software engineering experience, with a strong background in building and deploying production machine learning systems. Experience in areas such as personalization, search, or recommendations is a plus. 
 
Experience with big data and stream processing frameworks like Spark, Flink, or Kafka. 
 
Proficiency in object-oriented programming languages such as Java, Scala, or C++. 
 
Experience building and maintaining large-scale distributed systems for ML workloads. 
 
Deep understanding of ML model deployment pipelines, runtime optimization, and system integration. 
 
Familiarity with A/B testing frameworks, experimental design, and online evaluation. 
 
Strong focus on system reliability, latency, and observability 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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Machine Learning Engineer - Recommendations & Personalization (Feature Engineering)

Explore 236+ Systems engineer in Seattle this March. Find roles across top companies and apply now to boost your career.