software engineer

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

mechanical engineer iii

security engineer

ai ml engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ 
 
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 
 
Twitch's Enterprise Platform &amp; Technology (EPT) organization is looking for a Senior Software Development Engineer (SDE 3) to architect, build, and operate software systems that power enterprise functions across Twitch and Amazon. This is a hands-on engineering role &mdash; you'll write production code, own team-level architecture, and lead multi-engineer projects from design through deployment and operations. 
 
The problems you'll solve don't come with a predefined technology strategy. The business direction is understood &mdash; the how is up to you. You'll design and deliver solutions using AWS-native services and AI/agentic patterns, working across domains like Finance, Customer Service, Sales, and Marketing. You'll iterate fast, ship incrementally, and raise the engineering bar for your team through exemplary code, pragmatic design, and mentorship. We need someone who builds, not just advises. You own the architecture and the code. 
 
You can work in San Francisco, CA; Irvine, CA; or Seattle, WA. 
 
You Will 
<ul><li>Lead projects requiring work from multiple engineers &mdash; owning end-to-end design, integration of parallel work, and delivery across the full software lifecycle (design, implementation, testing, deployment, operations)</li><li>Own team-level architecture for enterprise systems, providing system-wide design guidance and ensuring solutions are cohesive, extensible, and secure</li><li>Build and operate production applications on AWS-native services (Lambda, Step Functions, DynamoDB, Bedrock, S3, CDK, API Gateway, etc.)</li><li>Design and deliver AI-powered and agentic workflows that ship to production &mdash; automating business processes, reducing toil, and accelerating delivery</li><li>Define agentic architecture patterns and establish best practices for building, testing, and operating AI systems in production &mdash; setting the engineering standard for how the team builds with AI</li><li>Design and build data pipelines, data lake integrations, and data models that enable clean, reliable data flows across enterprise systems</li><li>Drive adoption of engineering best practices on your team; set a culture of robust software development through exemplary code, design reviews, and operational rigor</li><li>Actively mentor and coach other engineers, helping them grow their technical skills and independence</li><li>Proactively simplify systems, resolve architecture deficiencies, and reduce operational burden &mdash; identifying one-way-door decisions and advocating for the right long-term solutions</li><li>Communicate technical designs and decisions effectively in writing; develop an understanding of problems that lets you explain them to others in simple, concise terms</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></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><li>5+ years of software development experience shipping production systems</li><li>2+ years of hands-on experience building AI/ML-powered systems deployed to production</li><li>Experimentation with agentic architectures is necessary. And production launch is a</li><li>Proficiency in multiple programming languages (e.g., Python, TypeScript/JavaScript, Java)</li><li>Experience designing and building applications using AWS-native services &mdash; not just deploying vendor software on cloud infrastructure</li><li>Demonstrated ability to lead projects involving multiple engineers, owning architecture decisions and integration of parallel work</li><li>Experience designing and building data pipelines, data models, or data lake systems</li><li>Track record of shipping incrementally &mdash; prototyping, validating, iterating, and delivering frequently</li><li>Strong written communication skills; ability to produce technical design documents that create alignment with peers and technical leadership</li><li>Demonstrated ability to solve complex problems with multiple risks and roadblocks, delivering solutions that are as simple as possible</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><li>Experience across AI/ML engineering and data engineering practices (5+ years combined)</li><li>Familiarity with enterprise platforms (e.g., Salesforce, ServiceNow) as a consumer or integrator</li><li>Experience with security standards and compliance frameworks (SOC2, SOX, GDPR)</li><li>Experience working in enterprise domains such as Finance, Customer Service, Sales, or Marketing</li><li>Mobile development experience (iOS, Android, or cross-platform)</li><li>Experience working in a large-scale, multi-org environment</li><li>Familiarity with integration patterns, middleware, and master data management concepts</li></ul> 
Twitch 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, Irvine - 168,100.00 - 227,400.00 USD annually 
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Software Engineer, Enterprise Platform

Atvantiq Network

<ul><li>Hands-on with frameworks like LangChain, CrewAI, AutoGen.</li><li>Strong in RAG architectures, tool-calling, memory, reflection/critique loops.</li><li>Proven delivery of at least one production-grade multi-agent GenAI system.</li><li>Python proficiency (preferred language for agentic workflows).</li><li>Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic APIs).</li><li>Experience designing persona catalogs, system prompts, tone/authority boundaries.</li><li>Ability to operationalize persona adaptation within agent flows (not post-processing).</li><li>Hands-on RCA in complex systems (network, IT ops, customer journeys).</li><li>Embedding RCA methodologies (5 Whys, Ishikawa, fault tree) into agent workflows.</li><li>Integration with observability tools (logs, metrics, traces, events).</li><li>Knowledge of guardrails, PII handling, access control, auditability, responsible AI practices.</li><li>Ability to enforce policy-bound behavior in enterprise contexts.</li><li>End-to-end program ownership (design &rarr; pilot &rarr; hypercare).</li><li>Experience in regulated industries (telecom, finance, healthcare).</li><li>Strong stakeholder management and ability to present outcomes in business-friendly language.</li><li>8&ndash;12 years in AI/ML, software engineering, or data science.</li><li>2&ndash;3+ years specifically in GenAI / agentic systems.</li><li>Must have delivered at least one production or late-stage pilot of a multi-agent GenAI system.</li></ul>Please share your updated resume at manshi.sharma@atvntiq.comJob Types: Full-time, ContractPay: $65.00 - $68.00 per hourWork Location: Hybrid remote in Seattle, WA 98102

AI Consultants

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, AWS

Nordstrom

<div>
 Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. We live by five simple values that guide how we work together day-to-day and how we deliver analytics &amp; data science products. We are customer-obsessed, owners at heart, curious and ever-changing, we extend ourselves to our peers and our customers, and we&rsquo;re here to win!
 
 
 The Digital Data Science team focuses on building and supporting AI/ML-powered products that shape the Nordstrom digital customer experience, including personalization and recommendation systems, conversational search, fraud detection, and other customer-facing intelligent features. As an integral part of our digital data science team, the Data Scientist I works alongside senior data scientists to develop and evaluate machine learning models that drive these products. This Data Scientist should have foundational knowledge of modern deep learning architectures, solid analytical skills to support model performance assessment through A/B testing and post-launch analysis, and the ability to communicate data insights and findings clearly to partners and the business.
 
 
 The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about the business and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives positive business outcomes.
 
 
 We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We&rsquo;re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!
 
 
 A day in the life...
 
 
 <ul>
 <li>
 Collaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systems.
 </li>
 <li>
 Design, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and anomaly detection.
 </li>
 <li>
 Extract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using AWS/GCP tools and other cloud services.
 </li>
 <li>
 Support senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practices.
 </li>
 <li>
 Work within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiatives.
 </li>
 <li>
 Support A/B testing and post-launch analysis to measure model impact, help diagnose why models are or are not working, and contribute to data-informed iteration on product features.
 </li>
 <li>
 Help develop and drive adoption of best practices in all aspects of the Data Science workflow, including intake, design, code review, testing, automation, documentation, reporting, and long-term maintainability.
 </li>
 <li>
 Actively learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to the team.
 
 
 </li>
 </ul>
 
 Minimum Qualifications Include&hellip;
 
 
 
 <ul>
 <li>
 1&ndash;3 years of hands-on professional experience in Data Science, Analytics, or a related quantitative field (including internships or research positions).
 </li>
 <li>
 1+ years of working experience with Python or R, including data manipulation, analysis, and visualization.
 </li>
 <li>
 Experience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
 </li>
 <li>
 1+ years of working experience with machine learning and deep learning algorithms, including familiarity with transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning pre-trained models, as well as classical methods such as gradient boosting, collaborative filtering, etc.).
 </li>
 <li>
 1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or Spark is a plus.
 </li>
 <li>
 Master's degree in Data Science, Analytics, or Statistics
 </li>
 <li>
 Exposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practices.
 </li>
 <li>
 Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation.
 </li>
 <li>
 Ability to communicate analytical findings clearly to technical and non-technical audiences.
 
 
 </li>
 </ul>
 Our ideal candidate has&hellip;
 
 
 <ul>
 <li>
 Experience contributing to data science projects in a team setting (academic, internship, or professional).
 </li>
 <li>
 Experience developing packages in Python along with clear documentation.
 </li>
 <li>
 Exposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, Docker, Flask) through coursework, personal projects, or internships.
 </li>
 <li>
 Experience developing and deploying automated data pipelines using cloud services (e.g. AWS/GCP).
 </li>
 <li>
 Strong background in model explainability, interpretability, and diagnostics&mdash;ability to systematically analyze and articulate why a model is or is not performing as expected.
 </li>
 <li>
 Experience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impact.
 </li>
 <li>
 Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applications.
 </li>
 <li>
 Eagerness to learn from experienced data scientists and a proactive attitude toward professional growth.
 </li>
 <li>
 Experience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plus
 
 
 </li>
 </ul>
 You&rsquo;ll love this Job If You
 
 
 &hellip;are a self-directed individual who operates with passion, urgency, focus, and discipline&hellip; put simply, you get stuff done.
 
 
 &hellip;have problem solving skills that are unparalleled&hellip;you are scrappy and resourceful
 
 
 &hellip;are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
 
 
 &hellip;are detailed-oriented with a passion for data-driven decision-making balanced by a deep appreciation of uncertainty and the inherent limitations of data analysis
 
 
 &hellip;are someone who appreciates diversity in all its forms
 
 
 &hellip;are someone who appreciates a company that values and encourages work-life balance
 
 
 
 We&rsquo;ve got you covered&hellip;
 
 
 
 
 Benefits
 
 
 
 Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
 
 
 <ul>
 <li>
 Medical/Vision, Dental, Retirement and Paid Time Away
 </li>
 <li>
 Life Insurance and Disability
 </li>
 <li>
 Merchandise Discount and EAP Resources
 
 
 </li>
 </ul>
 A few more important points...
 
 
 The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
 
 
 For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
 
 
 Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
 
 
 Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.
 
 
 &copy; 2022 Nordstrom, Inc
 
 
 Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
 
 
 Nordstrom keeps job postings open for at least one day after the posting date.
 
 
 
 Pay Range Details
 
 
 
 The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
 
 
 Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
 
 
 $121,500.00 - $188,500.00 Annual
 
 
 This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf
 
 
</div>

Data Scientist - Digital Data Science - Hybrid - Seattle, WA

JPMorganChase

<div>JOB DESCRIPTION 
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you&rsquo;ve come to the right place.
As a Principal Software Engineer at JPMorganChase within the CDAO's AI/ML Data Platform's team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm&rsquo;s portfolios.
Job responsibilities<ul><li>
Creates complex and scalable coding frameworks using appropriate software design frameworks</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Advises cross-functional teams on technological matters within your domain of expertise</li><li>
Serves as the function&rsquo;s go-to subject matter expert</li><li>
Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies</li><li>
Creates durable, reusable software frameworks that are leveraged across teams and functions</li><li>
Influences leaders and senior stakeholders across business, product, and technology teams</li><li>
Champions the firm&rsquo;s culture of diversity, opportunity, inclusion, and respect</li><li>
Build and operate 24x7, tier‑1 online services</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 7+ years applied experience</li><li>
Strong core engineering skills: hands‑on coding and system design for modern enterprise systems.
</li><li>Proficiency in one or more of the following languages: Rust, Java, Go, C++</li><li>
Proven track record building and operating 24x7, tier‑1 online services.
</li><li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Ability to tackle design and functionality problems independently with little to no oversight
</li></ul><div>Preferred qualifications, capabilities, and skills</div><div>
</div><ul><li><div>Familiarity with open‑source projects in the OLAP/data stack: Apache DataFusion, DuckDB, Apache Arrow Flight SQL.</div></li></ul><div>
</div>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Principal Software Engineer

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:
 
 
 <ul>
 <li>
 Embedded Systems
 </li>
 <li>
 Game Development
 </li>
 <li>
 Compiler Engineering
 </li>
 <li>
 Artificial Intelligence/Machine Learning
 </li>
 <li>
 Healthcare AI
 </li>
 <li>
 Infrastructure Services
 </li>
 <li>
 Firmware Development
 </li>
 <li>
 Cloud Computing
 </li>
 <li>
 Distributed Systems
 </li>
 <li>
 Security Engineering
 </li>
 <li>
 Video Processing and Streaming
 </li>
 <li>
 Content Delivery Network (CDN)
 
 
 </li>
 </ul>
 When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.
 
 
 Key job responsibilities
 
 
 
 As An AWS Software Development Engineer, You Will
 
 
 
 <ul>
 <li>
 Design, develop, and maintain efficient, reusable, and reliable code
 </li>
 <li>
 Implement complex software solutions that meet business requirements
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features
 </li>
 <li>
 Identify and resolve performance bottlenecks and bugs
 </li>
 <li>
 Participate in architecture and design reviews to provide technical guidance
 </li>
 <li>
 Contribute to continuous improvement by identifying opportunities for process enhancement
 </li>
 <li>
 Stay current with emerging technologies and industry trends
 </li>
 <li>
 Mentor junior engineers and contribute to building a strong engineering culture
 
 
 </li>
 </ul>
 A day in the life
 
 
 On a typical day as an AWS SDE, you might:
 
 
 <ul>
 <li>
 Start your morning with a team stand-up to align on priorities and address any blockers
 </li>
 <li>
 Collaborate with product managers to refine requirements for upcoming features
 </li>
 <li>
 Write code and develop solutions for complex technical challenges
 </li>
 <li>
 Review pull requests from team members, providing constructive feedback
 </li>
 <li>
 Participate in design discussions for new services or features
 </li>
 <li>
 Debug and troubleshoot production issues as they arise
 </li>
 <li>
 Attend learning sessions to stay current with AWS technologies
 </li>
 <li>
 Document your work and contribute to technical specifications
 </li>
 <li>
 Engage with customers or internal stakeholders to better understand their needs
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:
 
 
 <ul>
 <li>
 An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests
 </li>
 <li>
 They will share specific details about what you need to succeed in the interview process
 </li>
 <li>
 As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams
 </li>
 <li>
 Throughout the process, the central team will provide guidance and preparation support
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 3+ years of building complex software systems experience
 </li>
 <li>
 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
 </li>
 <li>
 Bachelor's degree or equivalent
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
 </li>
 <li>
 Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
 </li>
 <li>
 Knowledge of Python and/or C++ programming
 
 
 </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.
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3146624
</div>

Software Development Engineer

NVIDIA

<div>
 NVIDIA seeks a senior software engineer to join the AI Networking co-design and benchmark R&amp;D team. In this pivotal role, the candidate is responsible for building and productizing machine learning tools. These include tools that use ML-based combinatorial optimization and build space exploration (DSE) techniques. These tools will be employed to optimize AI workloads across large GPU and CPU clusters, thereby ensuring the most efficient and productive utilization of system resources at data center scale. The role involves working on distributed Deep Learning, particularly within LLM training and inference stacks. A strong passion for collective communication and networking is desirable. The candidate will interact with diverse hardware and platforms, such as Host Channel Adapters (HCAs), Switches, CPUs, GPUs, and complete Systems.
 
 
 Furthermore, the role requires engagement across multiple software layers, including LLM applications, machine learning frameworks, and communication and computing libraries. The candidate will develop tools and methodologies using Machine Learning (ML) for comprehensive performance analysis and optimization, potentially incorporating learning-based agentic techniques. This work involves deep-diving across the software stack, from LLM applications and ML frameworks down to communication and computing libraries. This position offers a distinct opportunity to make significant contributions to the core infrastructure powering the next generation of large-scale AI systems.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Design and implement resource allocation and combinatorial optimization techniques (e.g., reinforcement learning, LLM agents for DSE, Bayesian optimization and other multi-objective optimization techniques) to optimize LLM models at datacenter scale.
 </li>
 <li>
 Research, develop, and deploy AI/ML techniques to optimize large-scale Deep Learning (LLM) training and inference on NVIDIA supercomputers and distributed systems. This includes a focus on high-performance networking and NVIDIA communication libraries.
 </li>
 <li>
 Build and productionize ML-based tools for performance prediction and optimization, with a strong emphasis on networking aspects.
 </li>
 <li>
 Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types, such as time series and PyTorch model graphs, to effectively support the training of high-performance Machine Learning models.
 </li>
 <li>
 Collaborate across hardware and software teams to deliver valuable performance analysis insights.
 </li>
 <li>
 Lead performance test planning, establish performance targets for new technologies and solutions, and drive efforts to achieve those performance goals.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Software Engineering, or equivalent experience.
 </li>
 <li>
 Experience applying machine learning techniques to computer architecture and system optimization problems. Desired experience involves leveraging ML at the intersection of at least two of the following areas: HPC, networking, and AI applications.
 </li>
 <li>
 Hands-on experience developing and deploying various learning algorithms (e.g., reinforcement learning, offline RL, supervised learning) to tackle optimization challenges within computer architecture, system design, or networking domains.
 </li>
 <li>
 Proficiency in building and using ML models with leading frameworks such as PyTorch or TensorFlow, or JAX.
 </li>
 <li>
 Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto execution traces.
 </li>
 <li>
 Expertise combining knowledge of NVIDIA GPUs, the CUDA library, and deep learning frameworks (TensorFlow/PyTorch) with networking concepts, including collective communication libraries (like NCCL) and protocols (such as RoCE and RDMA).
 </li>
 <li>
 Strong programming capabilities in Python, Bash, and C++.
 </li>
 <li>
 A collaborative teammate with effective communication and interpersonal abilities.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 In-depth knowledge and experience with machine learning/reinforcement learning and frameworks.
 </li>
 <li>
 Comprehensive understanding of computer architecture, system architecture and networking.
 </li>
 <li>
 Extensive experience in applying machine learning techniques such as GNNs or related graph-based models.
 </li>
 <li>
 Knowledge in PyTorch, CUDA, and NCCL libraries.
 </li>
 <li>
 Proven software engineering/development skills
 
 
 </li>
 </ul>
 With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we&rsquo;d love to hear from you.
 
 
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
 
 
 You will also be eligible for equity and benefits.
 
 
 Applications for this job will be accepted at least until April 28, 2026.
 
 
 This posting is for an existing vacancy.
 
 
 NVIDIA uses AI tools in its recruiting processes.
 
 
 NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
 
 
 , , JR2017100
 
 
</div>

Software Engineer, AI Networking- New College Grad 2026

Explore 186+ Ai ml engineer in Seattle this May. Find roles across top companies and apply now to boost your career.