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software engineer i

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 Join Twitch's Commerce Engineering organization, where we're revolutionizing how viewers engage with their favorite creators. We are the teams behind Subscriptions, Gifting, Bits, Hype Train and Turbo products. From experimental features to established systems used by millions, we're constantly pushing the boundaries of what's possible in live streaming.
 
 
 This position and team are based in Seattle, WA and San Francisco, CA
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Craft immersive, interactive experiences that keep viewers supporting creators while engaging with the Twitch Community.
 </li>
 <li>
 Architect and build robust, scalable applications that can handle millions of concurrent users
 </li>
 <li>
 Collaborate across teams to create cohesive solutions that drive business impact
 </li>
 <li>
 Transform customer feedback into innovative features that enhance the Twitch experience
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 0-2 years of professional software development experience
 </li>
 <li>
 Excellent verbal and written communication skills; Ability to effectively collaborate with teammates is critical to success.
 </li>
 <li>
 A track record of building consumer-facing products that users love
 </li>
 <li>
 Demonstrable experience of modern programming languages and frameworks
 </li>
 <li>
 Sharp problem-solving skills with a focus on algorithms, data structures, and schema design
 </li>
 <li>
 Bachelor's degree in Computer Science or equivalent real-world experience
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Experience with mobile development, either native or hybrid
 </li>
 <li>
 Familiarity with AWS infrastructure
 </li>
 <li>
 Experience with email / notifications technologies
 </li>
 <li>
 Experience writing Go in production systems
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW9041
 
 
 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.
 
 
 US, WA, Seattle - Annually
 
 
 $110,500&mdash;$160,000 USD
 
 
 US, CA, San Francisco - Annually
 
 
 $127,100&mdash;$185,000 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Software Engineer I

Cummins

<div>DESCRIPTION
We are looking for a talented Senior Embedded Software Engineer to join our team specializing in Engineering for our Cummins Inc. facility in Seattle, WA.
In this role, you will make an impact in the following ways:
<ul><li>Strengthen product performance and reliability by investigating software issues, identifying root causes, recommending corrective actions, and owning full resolution through clear documentation and follow‑through.</li>
<li>Enhance the quality and consistency of software deliverables by applying and continually improving development processes, including coding, compiling, integration, and testing using advanced tools such as static analysis, compilers, and hardware‑in‑the‑loop systems.</li>
<li>Deliver verified software features, components, and builds by collaborating with product and software development teams and ensuring alignment with stakeholder requirements and application needs.</li>
<li>Influence key decisions related to software requirements, architecture, design, and testing, positively impacting software quality, platform performance, and cross‑business‑unit integration efforts.</li>
<li>Provide technical oversight by reviewing the work of less‑experienced developers and testers, ensuring designs and implementations are robust, reusable, and efficient.</li>
<li>Lead smaller‑scale projects or take ownership of complex software components or systems, navigating ambiguity and maintaining accountability for project outcomes, timelines, and quality.</li>
<li>Drive continuous improvement by developing and optimizing work processes and systems across functions or business units, contributing to long‑term operational and product excellence.</li>
<li>Mentor and guide technicians, students, and junior engineers, supporting knowledge transfer, developing team capability, and operating as a recognized specialist within the immediate software discipline.</li>
</ul>RESPONSIBILITIES
To be successful in this role, you will need the following:
<ul><li>Engineer with a systems mindset: Translate stakeholder needs into clear, verifiable system requirements; apply systems thinking to define boundaries, interfaces, and lifecycle impacts; and make sound, timely decisions in complex environments.</li>
<li>Design robust, reliable products: Use failure mode avoidance, platform architecture, and product selection trade‑offs to mitigate risk, optimize features and variants, and improve reliability across platforms and applications.</li>
<li>Leverage analytics and validation rigor: Apply modeling, simulation, and analysis to influence design decisions; develop and execute verification and validation plans; interpret analytical, simulation, and physical test results to confirm capability and manage product risk.</li>
<li>Build software and partnerships that scale: Employ best‑practice software design and construction methods; document and communicate effectively for diverse audiences; build strong internal and external networks; and drive results through resourcefulness while valuing diverse perspectives.</li>
</ul>Education, Licenses, Certifications:
College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.
Post-graduate (Master's) degree relevant to this discipline area may be required for select roles.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience:
Prior Senior or Lead Engineer equivalent work experience in a relevant discipline area is required with a demonstrated track record of technical problem solving and quality decision making. Knowledge of MS Office tools is preferred
QUALIFICATIONS
Additional Information:
Key Responsibilities:
<ul><li>Design, develop, and integrate embedded C/C+ + software for automotive ECUs running AUTOSAR, RTOS, and bare ‑ metal platforms</li>
<li>Integrate controls software components (SWCs) with AUTOSAR BSW and RTE layers</li>
<li>Lead root‑cause investigations of complex software issues and drive resolution through documentation and corrective actions</li>
<li>Influence software requirements, architecture, design, and test strategies across ECU platforms</li>
<li>Participate in unit, integration, SIL, and HIL testing to validate software behavior</li>
<li>Support diagnostics, fault handling, calibration, and flashing workflows</li>
<li>Provide technical oversight, code reviews, and mentorship to junior engineers</li>
<li>Own complex software components or subsystems and lead smaller technical initiatives</li>
</ul>Preferred Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Electrical Engineering, Computer Science</li>
<li>5 + years of embedded software experience in automotive or safety‑critical systems</li>
<li>Strong proficiency in C/C + + (Python a plus)</li>
<li>Familiarity with Git , static analysis, and HIL/SIL environments</li>
<li>Experience with AUTOSAR Classic and ECU software integration preferred</li>
<li>Knowledge of CAN, J1939, UDS, and XCP preferred</li>
<li>Experience across the full software development lifecycle preferred</li>
<li>System level thinking and strong cross‑functional communication skills preferred</li>
</ul>Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate&rsquo;s qualifications and experience, where appropriate.
Job Engineering
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
Min Salary $120000
Max Salary $180000
ReqID 2424860
Relocation Package Yes
100% On-Site No
Cummins and E-Verify
At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E-Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee&rsquo;s Form I-9 to confirm work authorization. Visit http://EEOC.gov to know your rights on workplace discrimination.</div>

Senior Embedded Software Engineer

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 
 
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

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

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join AWS as a Software Engineering Manager leading a high-performing team responsible for our design system, telemetry, marketer tooling, content generation experiences, and Generative AI capabilities. You'll manage a team of front-end engineers, quality assurance engineers, and design technologists who build and maintain the platforms that power AWS Marketing's digital presence for millions of customers worldwide. 
 
This team consistently delivers. We ship fast, maintain high quality, and take ownership of systems end-to-end. You'll inherit a group of motivated engineers who hold themselves to high standards and push each other to improve. Your job is to keep that momentum, remove obstacles, and create the conditions for continued excellence. 
 
You'll own the technical direction and delivery of systems that directly impact how customers experience AWS. Your team builds the component libraries, telemetry infrastructure, marketer tooling, content generation experiences, and Generative AI capabilities that enable AWS Marketing to move fast while maintaining quality and consistency. You'll partner with product, design, and engineering teams across the organization to deliver cohesive customer experiences. 
 
We're seeking a leader who elevates high-performing teams. You'll hire and develop engineers, set technical standards, and protect the team culture that drives results. You'll balance operational excellence with innovation, ensuring reliability while shipping new capabilities. 
 
Key job responsibilities 
<ul><li>Lead and grow a high-performing team of front-end engineers, QA engineers, and design technologists</li><li>Own technical strategy and delivery for design system, telemetry, marketer tooling, content generation experiences, and Generative AI capabilities</li><li>Maintain team velocity and quality while scaling the organization</li><li>Hire, develop, and retain engineering talent</li><li>Set technical standards and drive engineering best practices across the team</li><li>Partner with product and design to define roadmaps and prioritize work</li><li>Coordinate with partner teams across AWS Marketing to align on shared goals</li><li>Drive operational excellence including on-call, incident response, and reliability improvements</li><li>Remove blockers and protect the team's ability to deliver</li><li>Manage delivery across multiple workstreams with competing priorities</li><li>Communicate technical decisions and trade-offs to leadership</li></ul> 
A day in the life 
Your primary focus is enabling your team to deliver high-quality work at speed. Most days start with your engineering team, whether that's a standup, a 1:1 with a team member, or reviewing a technical approach. From there, you're often in cross-team conversations, aligning with product and design on priorities or working through technical trade-offs. You'll spend time on people management too, from career development conversations to hiring. Some days you'll go beyond the usual and find yourself presenting to senior leadership, driving adoption of a new capability with a partner team, or diving deep into a technical problem alongside your engineers. The work varies, but you're always focused on removing obstacles, developing your people, and making sure the team ships great work. 
 
About the team 
We build and maintain the design systems and platforms that power AWS Marketing's digital presence, serving millions of customers worldwide. We also support key events and experiences across the organization. The team is composed of front-end engineers, QA engineers, and design technologists, and we work closely with product and design partners in the same organization. We're constantly learning and experimenting with new technologies to bring the latest and greatest to customers. We value speed, autonomy, delivery, and delightful customer experiences.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of Software Engineer, Software Developer, or related occupational experience</li><li>3+ years of engineering team management experience</li><li>7+ years of leading the definition and development of multi tier web services experience</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy</li><li>Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers</li><li>5+ years of Software Engineer, Software Developer, or related occupational experience</li><li>Experience with front-end software development</li><li>Experience developing, deploying and managing AI products at scale</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. 
 
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, NY, New York - 203,400.00 - 275,200.00 USD annually 
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually</div>

Software Development Manager, AWS Marketing Demand Services

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. 
 
Key job responsibilities 
Key job responsibilities 
<ul><li>Design and develop net new conversational ad experiences on the Search page</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising</li><li>Shape the future of how businesses connect with customers through advertising</li><li>Create scalable systems to deliver explicitly personalized ad experiences</li></ul>
What we're looking for: 
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications</li><li>Strong software engineering skills</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges</li><li>Track record of delivering innovative solutions that drive business impact</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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. 
 
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, Palo Alto - 193,300.00 - 261,500.00 USD annually 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Software Dev Engineer III, Conversational Ad Experiences

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
Health, dental, vision, life, disability insurance 
Retirement Benefits: 401(k) with company match 
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment 
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) 
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks 
Baby Bonding Leave: 18 weeks 
Holidays: 13 paid days per year<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience with full stack development, across back-end such as Python, Java or Kotlin.</li>
<li>Experience establishing and implementing data governance frameworks, policies, and standards.</li>
<li>Experience designing and implementing data management strategies and solutions for large-scale datasets.</li>
<li>Experience building and deploying SQL data pipelines.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience with building machine learning models, data pipelines, and feature engineering.</li>
<li>Experience with Google Cloud Platform or other similar cloud technologies.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer, you will join our team and focus on the data infrastructure supporting our business efforts. You will be responsible for the design, development, and expanding of data pipelines and tooling. Your work will directly contribute to identifying and surfacing key customer insights from product data to help drive business outcomes. You will use your experience with data systems, and work cross-functionally with Engineering, UX, Product Management, Data Analysts, and Go-to-Market teams.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li><div>Write product or system development code.</div></li>
<li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. 
</li>
<li>Develop and manage data pipelines to ingest and process datasets (including product data, marketplace API data) to feed into our ML models.</li>
<li>Provide technical guidance and mentorship to other engineers on the team, fostering best practices in data governance and engineering.</li>
<li>Work closely with Software Engineers, Product Managers, UX Designers, Data Analysts, and Go-to-Market partners (Sales/Marketing) to define requirements, develop solutions, and operationalize models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Data Center Infrastructure Management

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