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systems engineer ii

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

lululemon

who we are
 
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
 
about this team
 
lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon’s business goals.
 
core responsibilities
 
As a Senior Engineer II, you will work as the technical leader for the product(s) your team delivers. You will be counted on as a leader in your technology space, as you contribute to all areas of development and operations (pre-production to production). As a Senior Engineer II, you will dedicate a fair amount of time to the planning and discovery of tools and practices inside your given area of expertise. You will apply that knowledge by working closely with Staff Engineers to promote platform level change. Senior Engineer IIs, take production readiness and performance personally and help drive continuous improvement. You will be part of a day-to-day production release team and may perform on-call support functions as needed. You will be considered the technical owner of the production system(s) you work on and focus on how your product(s) are delivered and how to optimize them for efficiency, security and reliability.
 <ul>
<li>Main contributor for product roadmaps and reliability strategy</li>
<li>Partner with project management to deliver status and performance updates</li>
<li>Conduct research to aid in product development and tools selection</li>
<li>Provide an escalation point and participate in on-call support rotations</li>
<li>Actively monitor key metrics, reports on trends, and make improvement recommendations</li>
<li>Facilitate an Engineering Community of Practice for your product(s)</li>
<li>Contribute to engineering automation, management or development of production level systems</li>
<li>Review product roadmaps and guide intake acceptance for a set of production systems</li>
<li>Own reliability for a defined set of production systems</li>
<li>Own the delivery lifecycle for a defined set of production systems</li>
</ul>
qualifications
 <ul>
<li>Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible</li>
<li>Eight+ years of engineering experience</li>
<li>Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space</li>
<li>Apply proven SRE methodologies to maintain system reliability, scalability, and rapid incident recovery.</li>
<li>Architect and oversee infrastructure platforms that enable efficient development, deployment, and operational excellence.</li>
<li>Implement robust alerting strategies to detect anomalies early and trigger rapid response actions.</li>
<li>Design comprehensive monitoring solutions that track performance metrics, system health, and user experience.</li>
<li>Leverage Datadog for real‑time observability, analytics, and integration across applications and services.</li>
<li>Utilize Splunk to collect, index, and analyze log data for security, compliance, and operational insights.</li>
<li>Incorporate Quantametrics to deliver deep performance benchmarking and optimization recommendations.</li>
<li>Ability to assume the leadership/mentorship of Engineers</li>
</ul>
must haves
 <ul>
<li>Acknowledge the presence of choice in every moment and take personal responsibility for your life.</li>
<li>Possess an entrepreneurial spirit and continuously innovate to achieve great results.</li>
<li>Communicate with honesty and kindness and create the space for others to do the same.</li>
<li>Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.</li>
<li>Foster connection by putting people first and building trusting relationships.</li>
<li>Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.</li>
</ul>
additional notes
 Authorization to work in the United States is required for this role.
 
compensation and benefits package
 
lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $136,200 - $178,700 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
 
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
 <ul>
<li>Extended health and dental benefits, and mental health plans</li>
<li>Paid time off</li>
<li>Savings and retirement plan matching</li>
<li>Generous employee discount</li>
<li>Fitness & yoga classes</li>
<li>Parenthood top-up</li>
<li>Extensive catalog of development course offerings</li>
<li>People networks, mentorship programs, and leadership series (to name a few)</li>
</ul>
Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
 
workplace arrangement
 
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
 
#LI-Onsite
 
#LI-VJ1

Senior Engineer II - Digital Platforms - SRE/Datadog

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
IVS is building the future of real time interactive video. IVS Media Processing Team is seeking an experienced distributed systems software engineer to design and develop infrastructure that powers live video streaming across the globe. In this role, you will own the end-to-end design, development, and operational excellence of systems that orchestrate live video workflows at massive scale. You will deliver solutions that raise the bar for latency, reliability, and customer experience. You will write code, review designs, dive deep into operational metrics and drive a culture of engineering excellence. You are not just building features &mdash; you are shaping the future of live video in the cloud. 
 
Key job responsibilities 
<ul><li>Design and implement highly available, low-latency distributed systems for orchestrating live video processing workflows (transcoding, DRM, ad insertion, quality analysis, redundancy/failover) across globally distributed infrastructure.</li><li>Develop systems that handle stateful, long-running live workflows with strict SLA requirements</li><li>Architect solutions for elastic scaling &mdash; from zero to thousands of concurrent live channels &mdash; while maintaining deterministic latency and resource efficiency.</li><li>Lead design reviews and provide constructive, high-quality feedback on system designs, code reviews, and operational practices across the team.</li><li>Identify and drive resolution of systemic technical debt, operational risks, and architectural bottlenecks.</li><li>Own the operational health of your systems in production. Participate in on-call rotations, lead incident response for high-severity events affecting live customer workflows, conduct and lead Correction of Error (COE) reviews and drive actionable improvements that prevent recurrence.</li></ul> 
A day in the life 
As an SDE II on the AWS IVS Media Processing team, you start your day reviewing operational metrics and addressing any service health issues. You participate in daily standups, discussing progress on your current sprint to enhance video transcoding performance. Mid-morning, you dive into code reviews, providing feedback on a teammate's pull request for a new packaging feature. After lunch, you design and implement APIs for real-time video transformation capabilities. You collaborate with senior engineers on architecture decisions, write unit tests, and update documentation. Your day ends troubleshooting a customer-reported latency issue, ensuring our video processing pipeline maintains its performance standards. 
 
About the team 
The AWS IVS Media Processing team builds and operates services that enable customers to transform, enhance, and deliver live and on-demand video content at scale. We develop solutions for video transcoding, packaging, and content delivery that power interactive video experiences for millions of viewers worldwide. Our team focuses on delivering low-latency, high-quality video processing capabilities while maintaining operational excellence and cost efficiency. We work backwards from customer needs to innovate on video infrastructure that helps creators, broadcasters, and developers build engaging streaming applications.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of non-internship professional software development experience</li><li>6+ years of programming with at least one software programming language experience</li><li>Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies</li><li>Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust</li><li>Experience with live video/media processing technologies and concepts (transcoding, ABR packaging, CMAF, HLS, DASH, RTMP/SRT ingest, ad insertion, DRM, SCTE-35 signaling).</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 165,200.00 - 223,600.00 USD annually 
USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, IVS Media Processing

Metro Services Group

JOB TITLE: Union Building EngineerPRIMARY REPORTING: Chief EngineerJOB STATUS: Non-ExemptJOB OBJECTIVE: Maintain, repair, and improve building systems and fixtures to keep the property operating safely and efficiently.ADDITIONAL BENEFIT INFORMATION: Employer pays 100% of the family premium for Medical, Dental, and Vision though the Union.JOB FUNCTIONS:This position supports the day‑to‑day upkeep of the building and its systems, helping ensure a safe, clean, and well‑maintained environment. Responsibilities include:<ul><li>Performing repairs to restroom fixtures, including toilets and soap dispensers</li><li>Repairing and maintaining heating components such as registers and radiators</li><li>Replacing lamps and cleaning light fixtures</li><li>Removing and reinstalling ceiling tiles as needed</li><li>Maintaining, repairing, and replacing door hardware</li><li>Performing maintenance painting in equipment rooms, cooling towers, and other building areas</li><li>Replacing air filters in HVAC equipment</li><li>Performing preventative maintenance on all mechanical equipment</li><li>General cleaning of mechanical spaces and perimeter induction units</li><li>Cleaning and organizing equipment in the engine room and shop</li><li>Performing miscellaneous handyman tasks using basic hand tools</li><li>Replacing fire extinguishers when required</li><li>Cleaning air vents and roof drains</li><li>Supporting the Chief Engineer with vendor management and the RFP process</li></ul>JOB QUALIFICATIONS:<ul><li>Basic operations, tools, and terms used in building construction and maintenance.</li><li>Knowledge of methods of cleaning and preserving floors, walls and fixtures.</li><li>Knowledge of cleaning materials, disinfectants and equipment used in custodial work.</li></ul>ABILITY TO:<ul><li>Work efficiently under pressure.</li><li>Understand and carry out oral and written instructions.</li><li>Work cooperatively with those contacted in the course of work.</li><li>Respond to emergency callbacks on matters affecting maintenance and safety.</li><li>Perform a wide variety of building maintenance tasks.</li><li>Use computer to input/update work orders.</li><li>Follow recommended procedures and techniques to safely perform duties.</li><li>Must be able to communicate in English (speaking, writing and reading) at a level to safely and effectively perform the essential functions.</li></ul>PHYSICAL REQUIREMENTS:<ul><li>Frequent sitting, squatting, crawling, and climbing of stairs.</li><li>Occasional lifting, carrying, pushing, and pulling up to 50 lbs.</li><li>Occasional work at a rapid pace.</li><li>Frequent walking, stooping, kneeling, and climbing of ladders.</li><li>Frequent body twisting and reaching.</li><li>Frequent use of balance.</li><li>Constant standing.</li><li>Frequent use of tactile, audio, and visual acuity.</li><li>Frequent use of oral communication.</li><li>Occasional use of written communication.</li><li>Constant use of manual dexterity. </li></ul>PROTECTIVE EQUIPMENT:<ul><li>Frequent use of protective wear for the eyes, ears, head, arms, face, hands, and fingers.</li></ul>Job Type: Full-timePay: $50.28 per hourBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Paid time off</li><li>Parental leave</li><li>Vision insurance</li></ul>Work Location: In person

Building Engineer (Union, Local 302)

Apple

The Applied Machine Learning team builds production multimodal systems that understand and transform large-scale image, audio, and video content. Our work spans diffusion-based image generation, transcription and diarization, face and object detection, OCR and image description for search, and automated quality control of media pipelines. 
 
We are looking for a Staff Machine Learning Engineer to strengthen our diffusion and video models, adapt small and mid-sized LLMs, and turn our uniquely large corpus of weakly labeled media into a durable product advantage. This is an opportunity to shape the next generation of multimodal experiences end-to-end, from data and models to evaluation and user impact. 
 
Description 
 
The Staff Machine Learning Engineer - Multimodal Generation &amp; Post-Training will be a senior individual contributor on a small, applied ML team focused on production multimodal systems. The role will lead fine-tuning and adaptation of diffusion and emerging video models, as well as post-training of small and medium LLMs for captioning, moderation, and retrieval-friendly descriptions. 
 
The engineer will design data and evaluation workflows that use our large archive of weakly labeled music, podcast, film, TV, and short-form content to drive measurable quality and efficiency improvements. The role includes close collaboration with partner infra teams for model serving and with adjacent product and research groups to bring new capabilities into production. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, or a related technical field. 
 
8+ years of industry experience with production multimodal systems spanning image, audio, and/or video. 
 
Deep expertise with diffusion and video generation techniques (e.g., ControlNet/IP-Adapter, temporal consistency methods, sampling and latency optimization). 
 
Experience with PEFT/QLoRA and post-training approaches such as DPO or related preference-based methods for small and mid-sized LLMs. 
 
Background in ASR/VAD/diarization, OCR, multimodal retrieval, or face recognition with fine-grained temporal alignment. 
 
Familiarity collaborating with infra/platform teams on model serving (e.g., batching strategies, quantization, observability) and translating requirements into reliable production deployments. 
 
Demonstrated ability to define metrics, build evaluation harnesses, and communicate results clearly to cross-functional partners. 
 
Track record of publications, patents, or open-source contributions in relevant areas of machine learning or multimodal modeling. 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience. 
 
5+ years of hands-on industry experience building and shipping machine learning systems to production. 
 
Proven experience training and fine-tuning diffusion or other image/video generative models, including adapter-based methods such as LoRA. 
 
Proficiency in Python and at least one major deep learning framework such as PyTorch. 
 
Experience designing and operating ML pipelines for noisy or weakly labeled data, including offline evaluation and monitoring in production. 
 
Strong software engineering skills, including code quality, experimentation discipline, and debugging/profiling of model performance. 
 
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 $201,300 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.

Staff Machine Learning Engineer, Apple Services Engineering

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

OpenAI

<div>
 
 About The Team
 
 
 
 We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. Our customers build fast-growing businesses around our APIs, which power products that were never before possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.
 
 
 The Engineering team manages a massive fleet of GPUs with scalable, robust infrastructure powered by Kubernetes, Go, Python, Terraform, Kafka, Postgres, and Snowflake.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced and creative engineers to help us scale our existing systems and build the next-generation system to enable a whole new class of products. We are seeking an engineer who is comfortable with full-stack development and has experience with Real-Time Communication (RTC). Candidates should have experience with scaled real-time communication systems in production.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and build development and production platforms that power our systems.
 </li>
 <li>
 Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
 </li>
 <li>
 Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems.
 </li>
 <li>
 Build and provide operational support for globally deployed systems, powering some of the most advanced products in the market. This includes participating in an on-call rotation to respond to critical incidents as needed.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have significant experience building (and rebuilding) production systems to deliver new product capabilities and handle increasing scale.
 </li>
 <li>
 Have experience with real-time communication products and systems, including audio and video calling, WebRTC or competing protocols, encoding/decoding, signaling, lip sync, etc.
 </li>
 <li>
 Care deeply about user experience and take pride in building products that solve customer needs.
 </li>
 <li>
 Have a humble attitude, eagerness to help colleagues, and a willingness to do whatever it takes to make the team succeed.
 </li>
 <li>
 Own problems end-to-end and are willing to pick up any necessary knowledge to get the job done.
 </li>
 <li>
 Have been a startup founder or an early-stage engineer.
 </li>
 <li>
 Experience in Machine Learning techniques is a plus but not required.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Software Engineer, Real Time

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