senior software engineer

software engineer, new grad Jobs in Seattle

software engineer, new grad

software engineer

Docusign

<div>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 <br/>
 <br/>
 What you'll do
 <br/>
 <br/>
 Docusign is looking for Software Engineers to join our development team in Seattle/San Francisco. This position will be part of a team working on Docusign's Platform that's responsible for high scale and low latency service. The service will deliver a No-Code Business Process Automation framework that allows administrators or delegates to build agreement management workflows without having to have any coding experience. This position will demand critical thinking skills, ability to quickly understand existing systems and the ability to work in agile environments. The ability to take smart and educated risks is essential to the success of this position. If you have all that and a passion for building quality experiences to make it easier for customers to manage their users of Docusign, then we want to talk to you!
 <br/>
 <br/>
 This position is an individual contributor role reporting to the Manager of Engineering.
 <br/>
 <br/>
 <strong>
  Responsibility
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable, fault-tolerant full-stack systems across backend services and front-end applications
  </li>
  <li>
   Build high-quality, production-ready code with comprehensive test coverage for both backend and frontend layers
  </li>
  <li>
   Implement web-scale services using microservices principles and containerized cloud technologies, while creating intuitive front-end interfaces that allow customers to configure business processes without coding expertise
  </li>
  <li>
   Collaborate with Product Management, UX designers, and cross-functional teams to translate business requirements into end-to-end solutions, providing accurate development estimates
  </li>
  <li>
   Work as part of a cross-site development team to drive design, implementation, testing, and release of full-stack features
  </li>
  <li>
   Participate in the entire software lifecycle, including version control, CI/CD pipelines, automated testing, and regional cloud deployments
  </li>
  <li>
   Explore and adopt new technologies and best practices to improve system performance, maintainability, and user experience
   <br/>
   <br/>
  </li>
 </ul>
 Job Designation
 <br/>
 <br/>
 <strong>
  Hybrid:
 </strong>
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 <br/>
 <br/>
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 <br/>
 <br/>
 What you bring
 <br/>
 <br/>
 <strong>
  Basic
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of software development experience or equivalent
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Electrical Engineering, Information Systems, Informatics, or equivalent
  </li>
  <li>
   Experience with data structures, algorithms, operating systems, and distributed systems fundamentals.
  </li>
  <li>
   Experience with backend languages (C#, Go, Java, Node.js) and frontend frameworks (React, Angular, Vue.js, TypeScript, JavaScript)
  </li>
  <li>
   Experience developing and consuming RESTful APIs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with cloud technologies (Azure, AWS, GCP) and deploying full-stack applications in production
  </li>
  <li>
   Familiarity with cloud-native services, containerized applications (Kubernetes, Docker), and microservices architectures
  </li>
  <li>
   Knowledge of end-to-end testing, including unit tests, integration tests, and frontend automated tests
  </li>
  <li>
   Experience with high-scale distributed systems and fault-tolerant design principles
  </li>
  <li>
   Strong problem-solving, organizational, and cross-functional collaboration skills
  </li>
  <li>
   Experience with Agile methodologies, Test-Driven Development (TDD), CI/CD pipelines, and regional cloud deployments
  </li>
  <li>
   Passion for learning and applying new full-stack technologies and frameworks
   <br/>
   <br/>
  </li>
 </ul>
 Wage Transparency
 <br/>
 <br/>
 Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
 <br/>
 <br/>
 Based on applicable legislation, the below details pay ranges in the following locations:
 <br/>
 <br/>
 California: $140,000.00 - $225,075.00 base salary
 <br/>
 <br/>
 Washington, Maryland, New Jersey and New York (including NYC metro area): $133,800.00 - $197,750.00 base salary
 <br/>
 <br/>
 <strong>
  This Role Is Also Eligible For The Following
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  </li>
  <li>
   Stock: This role is eligible to receive Restricted Stock Units (RSUs).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Global benefits provide options for the following:
 <br/>
 <br/>
 <ul>
  <li>
   Paid Time Off: earned time off, as well as paid company holidays based on region
  </li>
  <li>
   Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  </li>
  <li>
   Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  </li>
  <li>
   Retirement Plans: select retirement and pension programs with potential for employer contributions
  </li>
  <li>
   Learning and Development: options for coaching, online courses and education reimbursements
  </li>
  <li>
   Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
   <br/>
   <br/>
  </li>
 </ul>
 Life at Docusign
 <br/>
 <br/>
 <strong>
  Working here
  <br/>
  <br/>
 </strong>
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 <br/>
 <br/>
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 <br/>
 <br/>
 <strong>
  Accommodation
  <br/>
  <br/>
 </strong>
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 <br/>
 <br/>
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 <br/>
 <br/>
 Applicant and Candidate Privacy Notice
 <br/>
 <br/>
 States Not Eligible for Employment
 <br/>
 <br/>
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 <br/>
 <br/>
 Equal Opportunity Employer
 <br/>
 <br/>
 It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
 <br/>
 <br/>
 EEO Know Your Rights poster
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 <br/>
</div>


Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
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.<br>
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.<br>
<br>
About the Role<br>
<br>
IVS is building the future of interactive video and we are seeking a Data Infrastructure Engineer to design, build, and maintain the systems that power our data-driven organization. In this role, you will ensure that our data pipelines, storage, and processing systems are reliable, scalable, and optimized for analytics, machine learning, and business intelligence use cases. You will collaborate with data engineers, analysts, and software teams to create infrastructure that enables efficient and secure access to high-quality data.<br>
<br>
You Will<br>
<ul><li>Design, implement, and maintain scalable data infrastructure in AWS cloud</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads.</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting.</li><li>Work closely with data engineering and analytics teams to understand requirements and deliver high-performance solutions.</li><li>Champion best practices for security, compliance, and governance in data infrastructure.</li><li>Identify opportunities to optimize performance and cost of data platforms.</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Amazon Employee Discount</li></ul><br>
About the team<br>
Our Video Team is the backbone of Twitch. Twitch processes a massive amount of live video channels and distributes them using the largest dedicated live video CDN in the world, delivering over 25Tbps to more than 5MM concurrent viewers. In addition to serving Twitch traffic, our video platform is offered as Amazon Interactive Video Service, an AWS service that allows the creation of a live video streaming platform with only a few lines of code. Engineers with our Video Team work across a range of areas including ingest, transcoding, and distribution with the lowest latency high-scale HLS distribution system in the world.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></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>6+ years of experience in data engineering, DevOps, or infrastructure engineering roles.</li><li>Strong hands-on expertise with cloud platforms</li><li>Proficiency in data pipeline tools (e.g., Airflow, dbt, AWS Glue, Flink).</li><li>Experience with data storage technologies (e.g., Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet).</li><li>Proficiency in GO, SQL, and Python for building and maintaining data systems.</li><li>Solid understanding of distributed systems and performance optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with real-time data streaming and event-driven architectures.</li><li>Strong hands-on expertise with AWS cloud</li><li>Background in observability and monitoring</li><li>Knowledge of data governance, security, and compliance best practices</li><li>Prior experience supporting machine learning or advanced analytics environments.</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.</div>

Senior Software Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Goleta, CA, USA; Seattle, WA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience with software development in one or more programming languages.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or a related technical field.</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
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.</p>
<p>
In this role, with your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.</p><p><br>
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.</p><p><br>
The US base salary range for this full-time position is $166,000-$244,000 + 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.</p><p>
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.<br>
<br>
</p></div><div><h2 class="jobSectionHeader"><b>Responsibilities</b></h2><ul>
<li>Scope problems and recommend solutions for both short and long-term needs, taking ownership of goal and roadmapping to influence other engineers, and implementing solutions or delegating to colleagues.</li>
<li>Drive outcomes as a key contributor, designing or implementing projects that span multiple quarters without supervision, and consistently generating the ideas required to solve ambiguous problems.<br>
</li>
<li>Write and review code to ensure best practices are met, contributing to data preparation, optimization, and performance enhancements confirming all aspects of technical work are high quality.</li>
<li>Seek out and incorporate feedback on designs to determine when to enhance existing systems or build new systems, and contribute to existing documentation or educational content.</li>
<li>Work closely with other research groups and collaborate with teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.</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>

Senior Software Engineer, Quantum

Stripe

<div>
 Who we are
 <br/>
 <br/>
 <strong>
  About Stripe
  <br/>
  <br/>
 </strong>
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world&rsquo;s largest enterprises to the most ambitious startups&mdash;use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone&rsquo;s reach while doing the most important work of your career.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability&mdash;from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough.
 <br/>
 <br/>
 What you&rsquo;ll do
 <br/>
 <br/>
 As a company, we believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cross-functional projects, directly collaborating with other engineers
  </li>
  <li>
   Give meaningful feedback on code reviews and technical designs
  </li>
  <li>
   Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
  </li>
  <li>
   Build the skills to own a project from beginning to end, learning project management and technical leadership skills
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Who you are
 <br/>
 <br/>
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 <br/>
 <br/>
 <strong>
  Minimum Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A Bachelor&rsquo;s or Master&rsquo;s degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience
  </li>
  <li>
   Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
  </li>
  <li>
   Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
  </li>
  <li>
   Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
  </li>
  <li>
   Experience in code review practices, and an understanding of how to safely update production systems
  </li>
  <li>
   Familiarity with navigating and managing work in large code bases
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 In-office expectations
 <br/>
 <br/>
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 <br/>
 <br/>
 Pay and benefits
 <br/>
 <br/>
 The annual US base salary range for this role is $122,100 - $134,400. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 <br/>
 <br/>
 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
</div>


Software Engineer, New Grad

<div>
 Who we are
 <br/>
 <br/>
 <strong>
  About Stripe
  <br/>
  <br/>
 </strong>
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world&rsquo;s largest enterprises to the most ambitious startups&mdash;use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone&rsquo;s reach while doing the most important work of your career.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our internship program will provide an opportunity to work on meaningful products that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in systems design and testing, and have opportunities to present your work to your team and the wider org. Each intern has a dedicated intern manager, and every project is part of the team&rsquo;s roadmap and will directly help Stripe&rsquo;s mission.
 <br/>
 <br/>
 What you&rsquo;ll do
 <br/>
 <br/>
 Every internship at Stripe centers around a real, legitimate project that our customers urgently need, touching many parts of our operations and stack. We will support you in shipping it. Yes, you will actually ship it. Some recent projects include rebuilding our statistics aggregation service, building new service discovery systems, and many user facing projects like making it easy to understand error messages on Stripe Checkout. As a Stripe intern, you'll be tackling important projects to increase global commerce, while working alongside exceptional people who insist on doing their best work. You&rsquo;ll learn from people with high standards who are great at inspiring others to do more and go further. We value technical and personal growth, and see our internship program as a vehicle to foster both.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Write software that will be used in production, and has meaningful impact to Stripe
  </li>
  <li>
   Give and receive technical feedback through code reviews or design discussions
  </li>
  <li>
   Collaborate with other engineers and cross-functional stakeholders to proactively seek and incorporate feedback
  </li>
  <li>
   Learn quickly by asking great questions, by working with your intern manager and teammates effectively, and by communicating the status of your work clearly
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Who you are
 <br/>
 <br/>
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 <br/>
 <br/>
 <strong>
  Minimum Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong fundamental understanding of computer science through pursuit of a Bachelor&rsquo;s or Master&rsquo;s degree in computer science, math, or a related discipline
  </li>
  <li>
   Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
  </li>
  <li>
   Experience from previous internships or other multi-person projects, including open source contributions, that demonstrate evaluating and receiving feedback from mentors, peers, and stakeholders
  </li>
  <li>
   Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 2 years of university education, or equivalent work experience
  </li>
  <li>
   One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
  </li>
  <li>
   Understanding and some experience writing high quality pull requests, with good test coverage, and working knowledge to complete projects with minimal defects
  </li>
  <li>
   Familiarity with navigating and managing your work in new code bases, with multiple languages
  </li>
  <li>
   Ability to write clearly to explain your work to stakeholders, team members, and other Stripes
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 In-office expectations
 <br/>
 <br/>
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 <br/>
 <br/>
 Pay and benefits
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 <br/>
 The annual US base salary range for this role is $123,500 - $123,500. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
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 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
</div>


Software Engineer, Intern (Summer and Winter)

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable.<div></div><div>
As part of a hardworking team of specialists, technicians, and engineers on the AI &amp; Test software team, you will share in the team's impact on all aspects of design, development, and testing of intelligent robotic systems used across Blue Origin's mission operations. You will frequently engage with other development teams from Avionics, Flight Operations, Ground Integration, Engines, and Lunar. Every day, you will innovate to build the frameworks and tools needed to integrate AI-driven solutions that integrate with cyber-physical systems. Your expertise will directly contribute to building autonomous platforms, robotic workflows, and intelligent tooling we need to advance space exploration!</div><div></div><div>
For this specific role, your day-to-day activities will focus on developing next-generation AI and software solutions, implementing perception and localization systems, and integrating intelligent robotic hardware with mission-critical software systems. As a member of the software team, you will have input into the architecture and designs, implement and test required features, and help verify all requirements have been met.</div><div></div><div>
Responsibilities include but are not limited to:</div><ul><li>
Developing and implementing software solutions using AI</li><li>
Building perception and localization algorithms for autonomous systems</li><li>
Integrating LLMs with robotic platforms for intelligent decision-making</li><li>
Supporting real-time robotic operations on Linux-based systems</li><li>
Developing software solutions using kinematic modeling and control systems</li></ul><div></div><div>
Minimum Qualifications:</div><ul><li>
B.S. degree in engineering, computer science, or robotics</li><li>
2+ years of experience with AI development and robotics systems</li><li>
Proficiency in C/C++ and Python programming languages</li><li>
Experience with ROS/ROS2 framework or other robotic system development</li><li>
Familiarity of kinematics and robotic control principles</li><li>
Experience with real-time Linux systems</li><li>
Familiarity with LLM usage and integration</li><li>
Proficiency with configuration languages: XML, YAML, and JSON</li><li>
Strong software development skills and debugging capabilities</li><li>
Deep understanding of software engineering principles and design patterns</li></ul><div></div><div>
Preferred Qualifications:</div><ul><li>
Knowledge of perception algorithms and localization techniques</li><li>
Experience with LLM integration</li><li>
Familiarity with robotic hardware: GPUs, Jetsons, Lidar, Cameras, or PLCs</li><li>
Experience with robotic configuration languages: SDF, URDF, SRDF, or Xacro</li><li>
Knowledge of automation frameworks and DevOps systems</li><li>
Experience with cloud infrastructure</li></ul><div></div><div><br>
Compensation Range for:</div>
WA applicants is $148,014.00-$207,218.55<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Software Engineer III – New Glenn, AI & Robotics

Uber

<div>We're looking for PhD candidates in the machine learning and optimization domain to intern with a variety of teams during summer 2026 (12 weeks). You will be embedded in an engineering team and work closely with other specialists, data scientists, and product managers. As a PhD intern, you will work on an exciting yet bold problem independently, under the supervision of an experienced engineer on that team.
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<br>
<b>About the Role
</b><br>
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At Uber, we work on many ambitious engineering products covering many lines of business as well as the underlying platform technologies that power those businesses. We foster growth and increase profitability of Uber by pushing the frontiers of machine learning, constrained optimization, statistics, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.
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As a PhD software engineer intern, you will have a lot of opportunities to work with product managers, data scientists and, of course, engineers from different teams. You will have an opportunity to learn how to iterate over a product for greater success while demonstrating your area of expertise (machine learning, statistics, constrained optimization, distributed system, etc.). This is a unique opportunity to grow your skills with real-world experience and do highly impactful, yet fun work at the same time. It is an ambitious yet rewarding job!
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<b>Team Options
</b><ul><li>The <b>Delivery Marketplace: Consumer and Courier Pricing, Matching and Logistics </b>is responsible for building the core technology across the delivery line of business including food delivery, grocery, and retail last mile. These include a diverse set of transformational projects and impactful products ranging from finding the optimal match between jobs and earners in the delivery space, to setting optimal prices for Eaters and Couriers. The organization is formed of talented teams of engineers and scientists working side by side on the state of the art innovations on the matching objective function, pricing algorithms, and promotions. To achieve these goals, we leverage big data tools and apply advanced machine learning models to drive top line and bottom line business outcomes.
</li><li>The <b>Trusted Identity org </b>inspires trust in the Uber business cycle through verified and authentic identities. The Account Integrity team prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability. The Identity Verification team ensures accounts are created by real humans by verifying their attributes. The Account Security team is responsible for defending account holders from fraud related to phishing and ATO (account takeover) attempts. The Device Intelligence team is responsible for collecting device signals that are critical for the other teams to reliably achieve their goals.
</li><li>The Uber <b>Risk engineering team </b>is tackling challenges related to fraud and abuse detection. Our work is crucial in maintaining the integrity of Uber's platform. The team employs advanced machine learning including LLMs and computer vision, knowledge graph, similarity search and reinforcement learning to monitor transactions, detect unusual patterns, and implement robust verification methods
</li><li>The <b>Mobility Matching team </b>at Uber plays a crucial role in developing and optimizing algorithms and systems that match supply (drivers) with demand (riders) in real-time. You will work on complex problems, leveraging data and build ML algorithms to ensure efficient and reliable marketplace matching. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
</li><li>The <b>Rider Pricing and Incentives team </b>at Uber plays a crucial role in developing and optimizing algorithms and systems that determine the trip prices, discounting and promotions for Uber riders worldwide. You will work on complex modeling, pricing and incentives targeting problems, leveraging data and building ML algorithms to ensure accurate and robust pricing models and successful pricing optimization outcomes. The team is broadly part of the Marketplace organization, a central pillar to Uber's core technology which more broadly includes pricing, incentives/investments, matching, surge, etc. As a key team within Uber, we manage the complex dynamics between short term optimized pricing and long-term optimized pricing, promotion targeting and continuously innovating to enhance the overall user experience for riders. Improvements in these systems increase revenue in the hundreds of millions of dollars, and positively impact the experience of millions of users worldwide, as well as their ability to get around in the world.
</li><li>Join our <b>Capacity Planning team </b>as a Ph.D. intern to drive the future of infrastructure resource management through advanced quantitative methods. You will be at the forefront of implementing our data-driven forecasting vision, moving away from reactive, manual processes to scalable, automated solutions that utilize predictive analytics and real-time utilization data. This is a high-impact opportunity to work with the Applied Science and Engineering teams on designing and optimizing the central intelligence systems for capacity planning. Your expertise will be crucial in developing granular, highly accurate resource forecasts, ensuring service reliability for unexpected demand, and making key decisions that directly influence financial accountability, operational agility, and optimal resource utilization across the entire platform.
</li><li>The <b>Autonomous Vehicles Cloud team </b>is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
</li><li>The <b>Marketplace Signals </b>team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
</li><li><b>Applied AI </b>is a horizontal AI team at Uber partnering with product and platform teams across the company to deliver cutting-edge machine learning solutions for core business problems. The Computer Vision team in AppliedAI specializes in Generative AI, Foundation Model, and classical Computer Vision solutions, and the ML infrastructure needed to scale these systems in production.
</li><li><b>Fabric Controller </b>brings together platforms that keep large scale systems resilient and easy to operate, including Cadence and Repair Engine. Cadence is an open source workflow orchestration engine that manages distributed state, retries, scaling, and recovery so teams can focus on business logic while supporting mission critical workloads across many industries. Repair Engine detects, diagnoses, and remediates issues by correlating signals across infrastructure and application layers through an ingestion pipeline and statistical analysis. An ML engine is being developed to improve diagnostics by learning patterns from historic issues, reducing false positives, and incorporating broader context such as workload types and traffic trends. Together these systems strengthen reliability, automation, and operational efficiency across the stack.
</li></ul><b>What You'll Do
</b><ul><li>Drive exciting, ambitious, previously unsolved projects from end to end
</li><li>Develop novel algorithms that use Uber data at global scale
</li><li>Thrive in an environment with ambiguous product requirements
</li><li>Collaborate closely with product managers and data scientists
</li><li>Be motivated to independently own and drive projects forward
</li><li>Have a passion to make Uber better for our customers
</li></ul><b>Basic Qualifications
</b><ul><li>Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
</li><li>Candidates must have at least one semester/quarter of their education left following the internship
</li><li>Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
</li><li>Experience in one or more object-oriented languages, including C++, Java, Python, or Go
</li></ul><b>Preferred Qualifications
</b><ul><li>Ability to communicate effectively with both technical and business partners
</li><li>Experience in simplifying/converting business problems into technical problems
</li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation<br>
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</li></ul><br>
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For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Software Engineer Intern (Machine Learning), United States

Explore 55+ Software engineer in Seattle this December. Find roles across top companies and apply now to boost your career.