Staff Software Engineer jobs at Über

We're looking for PhD candidates to intern on the Observability Data Platform team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. About the Team At Uber, we provide a centralized, reliable, and interactive observability platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. Currently, the platform handles more than 5 billion metrics per second, 4 million tracing spans per second, and 30 million logs per second-and it's continuously evolving to support Uber's growth. In addition to addressing common challenges associated with large distributed systems, such as scalability, availability, performance, and efficiency, our team also leverages GenAI to provide aggregated insights, enhancing engineers' debugging experiences. What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Thrive in ambiguous requirements, and explore with curiosity * Make data driven decisions, with exceptional execution * Be motivated to own projects and push them forward with independence * Most importantly, have a passion to make Uber better for our customers Basic Qualifications * Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field * Candidates must have at least one semester/quarter of their education left following the internship Preferred Qualifications * Knowledge of underlying technical foundations of distributed systems and/or GenAI fundamentals * Experience in one or more object-oriented languages, including C++, Java, Python, or Go * Experience with observability domain, eg OpenTelmetry will be a plus * Ability to communicate effectively with both technical and business partners * Experience in simplifying/converting business problems into technical problems * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation * Experience presenting at industry recognized academic conferences and a good publishing record 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. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft's engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from an engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at ************************************ to learn more about some of the things we've built. The Cloud Security team's mission is to improve Lyft's maturity and protect our employees, partners, and intellectual property by architecting and executing on a comprehensive security model relative to our cloud infrastructure. As Staff Software Engineer, you'll help us build this team and deliver on high impact objectives. This role will drive security reviews, implement detections, remediate findings, implement and enforce least privilege, separation of development environments, secure design, operation, and configuration of our multi-cloud and container environments. Responsibilities: Establish and execute a roadmap for secure cloud architecture Write readable, efficient, and maintainable code Design security protocols to secure Cloud infrastructure and Kubernetes at scale Lead large projects from inception to implementation Unblock, support and communicate with internal partners to achieve results Partner with teams across Lyft on organizational security initiatives Design and implement cloud security solutions for monitoring, vulnerability remediation, and attack surface analysis and risk reduction Collaborate with engineering organizations to build inherently secure cloud architecture solutions Exercise sound judgment and thrive in ambiguous situations Experience: 6+ years of relevant industry experience Experience with modern programing languages (e.g., Python, Java, Go) and distributed systems Deep expertise with one or more major cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc Expertise in cloud service architecture and cloud security concepts Experience with Kubernetes and container security Familiarity with securing and hardening Linux hosts Able to write clear, scalable and clear design documentation Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the Toronto area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don't just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen. The Mapping organization at Lyft has spent the last few years building up Lyft's mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we've also enabled new user experiences and features across all of Lyft's products, including rideshare industry leading firsts like CarPlay, Android Auto, and real-time driver feedback! Lyft's engineering team is growing rapidly, and we are looking for engineering managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Our engineering managers are people with varying technical backgrounds and interests -- some are involved in the technical details of their team and others provide general technical direction and oversight. As managers, our job is to keep teams efficient and executing on the right goals. We build teams that are inclusive, helpful, and have a strong sense of ownership for the things they build. Responsibilities: Set the technical vision and strategy for a rapidly evolving product area Co-own the product strategy with the product partner and ensure a timely delivery with high quality of the engineering solutions Lead a team of talented engineers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address performance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in your organization Maintain a balance between building sustainable, high-impact projects and shipping things quickly Instill a spirit of continuous improvement in the team's code, architecture, and processes Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds Work with your engineers and/or product managers to maintain a prioritized backlog and create short term and long-term goals Own your team's deliverables and ensure we continue to ship scalable, highly-available products that delight our passengers and drivers Experience: Bachelor's degree in Computer Science, a related field, or equivalent practical experience 10+ years of experience in software engineering 3+ years of experience managing engineering teams Experience architecting, building, and scaling distributed systems Experience both launching consumer facing products and also leading backend and ML-focused teams You have experience leading a team of engineers and guiding them through their career development You enjoy working in a collaborative environment, and you're committed to driving projects to completion creatively You can motivate and instill a strong sense of ownership in your team You have experience guiding teams through planning, prioritization, and execution of work You are able to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure You work well with product and science partners and help set the product vision for an ambiguous project Very strong written and verbal communications and presentation skills and aptitude to engage directly and effectively with company executives Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft's engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from an engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at ************************************ to learn more about some of the things we've built. The Cloud Security team's mission is to improve Lyft's maturity and protect our employees, partners, and intellectual property by architecting and executing on a comprehensive security model relative to our cloud infrastructure. As Staff Software Engineer, you'll help us build this team and deliver on high impact objectives. This role will drive security reviews, implement detections, remediate findings, implement and enforce least privilege, separation of development environments, secure design, operation, and configuration of our multi-cloud and container environments. Responsibilities: * Establish and execute a roadmap for secure cloud architecture * Write readable, efficient, and maintainable code * Design security protocols to secure Cloud infrastructure and Kubernetes at scale * Lead large projects from inception to implementation * Unblock, support and communicate with internal partners to achieve results * Partner with teams across Lyft on organizational security initiatives * Design and implement cloud security solutions for monitoring, vulnerability remediation, and attack surface analysis and risk reduction * Collaborate with engineering organizations to build inherently secure cloud architecture solutions * Exercise sound judgment and thrive in ambiguous situations Experience: * 6+ years of relevant industry experience * Experience with modern programing languages (e.g., Python, Java, Go) and distributed systems * Deep expertise with one or more major cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc * Expertise in cloud service architecture and cloud security concepts * Experience with Kubernetes and container security * Familiarity with securing and hardening Linux hosts * Able to write clear, scalable and clear design documentation Benefits: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. About the Team The Risk Tech engineering organization is dedicated to tangibly reducing accident frequency, saving lives, and controlling costs to make rides safer & more affordable. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, reserves, regulatory processes, and large financial liabilities. This role is an opportunity to shape an industry-leading claims management system. Our vision is to establish a single, Unified Risk Platform where end-to-end claims workflows across all business lines are efficiently managed, communications are consolidated, and data is organized for data-driven intelligence. This enables cost-efficient claims operations, drives down risks and costs as Lyft scales, and ensures people receive the help they need quickly and accurately. About the Role We are seeking a Staff Software Engineer to set the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from backend, frontend, data, product, mobile, and operations to deliver end-to-end solutions. Responsibilities: * Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Operations, Science, and other stakeholders. * Provide architectural leadership, make informed design tradeoffs, and guide strategic platform decisions across multiple engineering teams. * Deliver scalable, reliable, and well-tested solutions, writing maintainable code and raising engineering standards * Collaborate closely with internal claims operation teams, external insurance partners, and cross-functional engineering groups to ensure technical alignment and scalable integrations. * Drive platform innovation through AI adoption and automation. * Mentor team members within and outside of the team * Have a good grasp and ability to explain the various trade offs made in decisions * Lead code reviews, design reviews, production on-call support and incident triaging process. * Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: * B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience * 8+ years of professional experience building scale distributed systems with high availability, observability and reliability requirements * Prior experience in insurance, claims management, or workflow orchestration is a strong plus. * Proven ability to build end-to-end products and platforms, collaborating effectively with backend, frontend, data, operations, and product teams. * Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost. * Prior experience in Insurance, Claims management, Workflow orchestration is a strong plus. * Experience driving AI adoption or automation initiatives to improve operational efficiency. * Proficiency in Python. Knowledge of React/Next.js is a plus. * Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc * Strong oral and written interpersonal skills Benefits: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We care deeply about delivering the best transportation experience; this means the best experience for the rider and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. You're an enthusiastic and aspiring app developer looking to take your skills to the next level by joining our iOS team as an intern Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases Our codebase is written entirely in Swift with modern design patterns and coding standards Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft rider! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, with a graduation date between December 2026 and Summer 2027 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. Available during Summer 2026 for an internship in San Francisco Strong knowledge of CS fundamentals Strong knowledge of Swift Excellent communication skills Passion for community, sustainability, and/or transportation Ability to thrive in a startup environment Experience with real-time technology problems Contributions to open source projects Experience working with databases Experience solving real-time technology problems Experience with mobile development Previous work with social networks Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Pre-tax commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the San Francisco area is $52 - $58/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We care deeply about delivering the best transportation experience; this means the best experience for the rider and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets... how they evolve, how they breathe. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. + You're an enthusiastic and aspiring app developer looking to take your skills to the next level by joining our iOS team as an intern + Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases + Our codebase is written entirely in Swift with modern design patterns and coding standards **Responsibilities:** + Own your project, while checking in with other team members throughout the day with questions and updates + You leave the code in a better state than when you found it (progressive refactor) + You value reliability, ensured by testing (unit, integration and load tests) + Participate in code reviews to ensure code quality and distribute knowledge + Continuous integration and deployment + Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft rider! **Experience:** + Currently pursuing a **Bachelor's or Master's degree in Computer Science** , with a **graduation date between December 2026 and Summer 2027 (required).** For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. + Available during **Summer 2026** for an internship in San Francisco + Strong knowledge of CS fundamentals + **Strong knowledge of Swift** + Excellent communication skills + Passion for community, sustainability, and/or transportation + Ability to thrive in a startup environment + Experience with real-time technology problems + Contributions to open source projects + Experience working with databases + Experience solving real-time technology problems + Experience with mobile development + Previous work with social networks **Benefits:** + Great medical, dental, and vision insurance options + Mental health benefits + In addition to holidays, interns receive 2 days paid time off and 3 days sick time off + 401(k) plan to help save for your future + Pre-tax commuter benefits + Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the San Francisco area is $52 - $58/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

About The Role The Consumer Pricing and Incentives team, part of the Marketplace organization, drives consumer demand for Uber's Delivery business, including food delivery and groceries. Our systems power the experience for millions of consumers and thousands of merchants globally, with significant growth on the horizon. As a core part of Uber's marketplace, we are focused on building innovative solutions that create value at massive scale.We are looking for a technical thought leader who excels in problem solving, critical thinking, and designing highly scalable systems. This is an exciting opportunity to shape the future of Uber's Delivery marketplace and make a direct impact on the business. What You Will Do * Set the vision and strategy for the team, ensuring alignment with Uber's broader goals while keeping the team focused on delivering high-impact solutions. * Drive technical excellence by leading the development of scalable systems, setting clear expectations, and fostering a culture of accountability and collaboration. * Collaborate across functions, working closely with product managers, engineers, and data scientists to shape and execute the team's roadmap and solve complex, high-impact problems. * Mentor and develop engineers, providing guidance on technical challenges and professional growth while promoting best practices in software engineering. * Ensure alignment across teams, facilitating smooth collaboration with stakeholders to define the direction of product features and pricing strategies. Basic Qualifications * PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas: * Programming language (e.g. C, C++, Java, Python, or Go) * Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated. * Demonstrated examples of project leadership roles, delivering production-level features from inception, and promoting a high-quality culture amongst the team * Deep system design skills. You know how to build highly-scalable, robust, and fault-tolerant services that support our unique exponential growth requirements * Demonstrated experience easily speaking to the operational aspects of monitoring, alerting, and structuring code for production-level debugging and optimization Preferred Qualifications * Prior experience in the pricing domain * Knowledge of machine learning and/or optimization * A background in product experimentation including the statistical knowledge, mechanics of experimentation and analysis so that you are able to interpret, debug and challenge experimental results when necessary For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [****************************************************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

We're looking for PhD candidates to intern on the Observability Data Platform team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. **About the Team** At Uber, we provide a centralized, reliable, and interactive observability platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. Currently, the platform handles more than 5 billion metrics per second, 4 million tracing spans per second, and 30 million logs per second-and it's continuously evolving to support Uber's growth. In addition to addressing common challenges associated with large distributed systems, such as scalability, availability, performance, and efficiency, our team also leverages GenAI to provide aggregated insights, enhancing engineers' debugging experiences. **What You'll Do** + Drive exciting, ambitious, previously unsolved projects from end to end + Thrive in ambiguous requirements, and explore with curiosity + Make data driven decisions, with exceptional execution + Be motivated to own projects and push them forward with independence + Most importantly, have a passion to make Uber better for our customers **Basic Qualifications** + Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field + Candidates must have at least one semester/quarter of their education left following the internship **Preferred Qualifications** + Knowledge of underlying technical foundations of distributed systems and/or GenAI fundamentals + Experience in one or more object-oriented languages, including C++, Java, Python, or Go + Experience with observability domain, eg OpenTelmetry will be a plus + Ability to communicate effectively with both technical and business partners + Experience in simplifying/converting business problems into technical problems + Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation + Experience presenting at industry recognized academic conferences and a good publishing record 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. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- ***************************************************************************************************

We're looking for PhD candidates to intern on the Kafka team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. **About the Team** The Kafka team is a part of the Data Infrastructure team. It is responsible for providing a messaging service that is highly available, durable, and provides an end-to-end latency guarantee. Transporting multi-trillion messages a day across tens of thousands of topics (and growing), we are one of the biggest Kafka ecosystems in the world. Within the team, we have four sub-areas: Security and Observability, Core Kafka, Kafka Ecosystem, and Kafka Messaging Platform. Projects include Kafka on Odin, Kafka Tiered Storage, Kafka Security, Ecosystem Manager, Kafka Consumer Proxy, Kafka Client Standardization, Hardcore Efficiency, etc **What You'll Do** + Drive exciting, ambitious, previously unsolved projects from end to end + Make data-driven decisions, with exceptional execution + Be motivated to own projects and push them forward with independence + Work on the internals of Kafka and build features that will help serve our users better. + Build services that are part of the Kafka Ecosystem + Most importantly, have a passion to make Uber better for our customers **Basic Qualifications** + Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field + Candidates must have at least one semester/quarter of their education left following the internship **Preferred Qualifications** + Solid understanding of Java for backend / systems software development + Knowledge of the underlying technical foundations of distributed systems + Experience with open source streaming technologies, e.g., Kafka and Flink + Ability to communicate effectively with both technical and business partners + Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- ***************************************************************************************************

We're looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. **About the Team** The Autonomous Vehicles Cloud team 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. **What You'll Do** + Drive exciting, ambitious, previously unsolved projects from end to end + Develop novel algorithms that use Uber data at global scale + Thrive in an environment with ambiguous product requirements + Collaborate closely with product managers and data scientists + Be motivated to independently own and drive projects forward + Have a passion to make Uber better for our customers **Basic Qualifications** + Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field + Candidates must have at least one semester/quarter of their education left following the internship **Preferred Qualifications** + **Publications in top ML conferences such as CVPR, NeurIPS, ICCV, and ICLR** + Deep understanding in computer vision and multi-modal large language models + Proficient in prototyping research ideas using popular deep learning frameworks + Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc. + Experience in one or more object-oriented languages, including C++, Java, Python, or Go + Ability to communicate effectively with both technical and business partners + Experience in simplifying/converting business problems into technical problems + Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation + Experience in the Autonomous Vehicles related research For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- ***************************************************************************************************

We're looking for PhD candidates to intern on the Observability Data Platform team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. About the Team At Uber, we provide a centralized, reliable, and interactive observability platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. Currently, the platform handles more than 5 billion metrics per second, 4 million tracing spans per second, and 30 million logs per second-and it's continuously evolving to support Uber's growth. In addition to addressing common challenges associated with large distributed systems, such as scalability, availability, performance, and efficiency, our team also leverages GenAI to provide aggregated insights, enhancing engineers' debugging experiences. What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Thrive in ambiguous requirements, and explore with curiosity * Make data driven decisions, with exceptional execution * Be motivated to own projects and push them forward with independence * Most importantly, have a passion to make Uber better for our customers Basic Qualifications * Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field * Candidates must have at least one semester/quarter of their education left following the internship Preferred Qualifications * Knowledge of underlying technical foundations of distributed systems and/or GenAI fundamentals * Experience in one or more object-oriented languages, including C++, Java, Python, or Go * Experience with observability domain, eg OpenTelmetry will be a plus * Ability to communicate effectively with both technical and business partners * Experience in simplifying/converting business problems into technical problems * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation * Experience presenting at industry recognized academic conferences and a good publishing record 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. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

We're looking for PhD candidates to intern on the Kafka team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. About the Team The Kafka team is a part of the Data Infrastructure team. It is responsible for providing a messaging service that is highly available, durable, and provides an end-to-end latency guarantee. Transporting multi-trillion messages a day across tens of thousands of topics (and growing), we are one of the biggest Kafka ecosystems in the world. Within the team, we have four sub-areas: Security and Observability, Core Kafka, Kafka Ecosystem, and Kafka Messaging Platform. Projects include Kafka on Odin, Kafka Tiered Storage, Kafka Security, Ecosystem Manager, Kafka Consumer Proxy, Kafka Client Standardization, Hardcore Efficiency, etc What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Make data-driven decisions, with exceptional execution * Be motivated to own projects and push them forward with independence * Work on the internals of Kafka and build features that will help serve our users better. * Build services that are part of the Kafka Ecosystem * Most importantly, have a passion to make Uber better for our customers Basic Qualifications * Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field * Candidates must have at least one semester/quarter of their education left following the internship Preferred Qualifications * Solid understanding of Java for backend / systems software development * Knowledge of the underlying technical foundations of distributed systems * Experience with open source streaming technologies, e.g., Kafka and Flink * Ability to communicate effectively with both technical and business partners * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

We're looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. ## About the Team The Autonomous Vehicles Cloud team 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. ## What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Develop novel algorithms that use Uber data at global scale * Thrive in an environment with ambiguous product requirements * Collaborate closely with product managers and data scientists * Be motivated to independently own and drive projects forward * Have a passion to make Uber better for our customers ## Basic Qualifications * Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field * Candidates must have at least one semester/quarter of their education left following the internship ## Preferred Qualifications * ## Publications in top ML conferences such as CVPR, NeurIPS, ICCV, and ICLR * Deep understanding in computer vision and multi-modal large language models * Proficient in prototyping research ideas using popular deep learning frameworks * Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc. * Experience in one or more object-oriented languages, including C++, Java, Python, or Go * Ability to communicate effectively with both technical and business partners * Experience in simplifying/converting business problems into technical problems * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation * Experience in the Autonomous Vehicles related research For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

At Uber, we're reimagining the way the world moves. From how you get home from work, to how you eat meals, or how you move huge shipments of anything, the work we do is shaping the future of mobility and changing the way people live. To get there, we've brought together a collective of optimists and doers to tackle some of the most ambitious problems of our time. We believe in learning by doing-and that there is no better classroom than real-world experience. Join us to move yourself-and the world-forward. About the Program Our internship and co-op program is perfect for university students looking for valuable real-world experience within the confines of an environment that fosters mentorship and feedback. As an intern, you'll have a direct impact on the customer experience for riders, drivers, eaters, restaurant and business owners, and cities alike. If you like our services and want to bring them to the next level. If you enjoy working in a team-based environment that executes at a fast pace. If you are interested in working on products that impact millions of people around the globe. Then you should apply to join our intern program! We are hardworking, engaged, and passionate about cracking the code on urban mobility and delivery. If you are not currently pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** ## What You'll do * ## Work with your manager and mentor to drive exciting, ambiguous, previously unsolved projects from end to end. * ## Design, develop, and/or test software applications using company technology stack. * ## Apply technical knowledge to evaluate complex data, development, or projects in order to resolve technical issues. * ## Build software components to be integrated into a fully functional software system. * ## Be motivated to own projects and push them forward with independence. Basic Qualifications * Actively pursuing a Bachelor's, or Master's in Computer Science, Engineering or a related technical field at University of Texas at El Paso with at least one remaining semester of school left after completion of the internship. (If you are not currently pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** Preferred Qualifications * Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or publications * Programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc) * Experience building tools/infrastructure * A desire to be part of a team that delivers impactful results every day * A commitment to writing understandable, maintainable, and reusable software * An innate desire to deliver and a strong sense of accountability for your work * Ability to learn new languages and methodologies For New York, NY-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For all US locations, you will also be eligible for various benefits. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

At Uber, we're reimagining the way the world moves. From how you get home from work, to how you eat meals, or how you move huge shipments of anything, the work we do is shaping the future of mobility and changing the way people live. To get there, we've brought together a collective of optimists and doers to tackle some of the most ambitious problems of our time. We believe in learning by doing-and that there is no better classroom than real-world experience. Join us to move yourself-and the world-forward. ## About the Program UberSTAR is a paid student internship program designed to promote equal opportunity, inclusion, and access in tech by encouraging applications from women and underrepresented people, including but not limited to Black, Hispanic, Native American, students with disabilities, LGBTQIA+, and Veterans. This program is open to all first or second year students enrolled full-time in a community college or university, regardless of race, gender, or ethnicity. UberSTAR connects students interested in working in tech with full-time internships at Uber to provide participants with real-work skills, experiences, and the professional networks they need to succeed! Note: If you are not currently pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** ## What You'll Do * ## Work with your manager and mentor to drive exciting, ambiguous, previously unsolved projects from end to end. * ## Design, develop, and/or test software applications using company technology stack. * ## Apply technical knowledge to evaluate complex data, development, or projects in order to resolve technical issues. * ## Build software components to be integrated into a fully functional software system. * ## Be motivated to own projects and push them forward with independence. ## Basic Qualifications * Actively pursuing a Bachelor's in Computer Science, Engineering or a related technical field at University of Texas at El Paso. (If you are not pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** * Must have completed an introductory Computer Science course * Must be a first or second year student at the time of application. Students transferring from a community college into a four-year program are eligible to apply * Have basic programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc.) ## Preferred Qualifications * Proven software engineering experience through previous internships, work experience, coding competitions, and/or publications * Experience building tools/infrastructure * A desire to be part of a team that delivers impactful results every day * A dedication to writing understandable, maintainable, and reusable software * A desire to deliver and a strong sense of accountability for your work * Willingness to learn new languages and methodologies For New York, NY-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For all US locations, you will also be eligible for various benefits. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft's Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently. Responsibilities: Help define the roadmap and architecture based on technology and business needs Drive AI innovation for business analytics and operations Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go) AI Experience in Agentic workflows, Model Evaluation, Causal models and Anomaly detection When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities You have experience defining API schemas and developing backend services in a microservices environment You have a history of going out of your way to help out your fellow engineer to make them more productive Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft's engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. About Our Org: The security team designs and builds Lyft's security architecture, consults with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at ************************************ to learn more about some of the things we've built. About This Position: We're looking for an engineer with a strong networking background who's excited about growing and securing distributed systems throughout the company. You'll play a part in shaping how service networking works at Lyft, with significant impact and visibility. Responsibilities: Work on our network security initiative such as our Internet edge proxies (Envoy), Web Application Firewall, service-to-service authentication and authorization. Architect and build services that improve the security of our systems with an eye towards scalability and avoiding unnecessary friction. Evangelize our shared security responsibility model by collaborating with other Infrastructure teams at Lyft to ensure that our services and workflows are secure by default. Work on embedding security best practices such as least privilege, isolation, monitoring, authentication and authorization across our entire infrastructure (systems, application, networking). Develop critical services that Lyft depends on such as our credential management service that provides secrets to all our services at Lyft. Experience: Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts) Strong understanding of networking concepts (TCP/IP, HTTP, TLS, DNS) and working experience with edge or sidecar proxies. Identity and Access Management (IAM): provisioning least privilege access to users and services. Familiarity with authn/authz and frameworks and concepts related to SSO, SAML, OAuth, OpenID. Experience with Amazon Web Services (AWS) or another major cloud service provider Kubernetes and container security and running fleets of endpoints or servers in the cloud. Cryptography, PKI, or key/certificate distribution Running multi-tier or distributed web services at scale Soft Skills When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities You understand that security work must be prioritized because all teams have finite resources. You have good judgment and a sense of when to compromise and when to hold your ground Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid #non_promo_job The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. You'll be joining the Driver Loyalty & Rewards team, which is focused on creating meaningful value for drivers every time they drive. We build features that recognize, reward, and strengthen drivers' connection to the platform, making their driving experience more engaging and rewarding. You're an enthusiastic app developer looking to take your skills to the next level by joining our Android team. We build apps used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases. Within the teams, backlog grooming, planning meetings, daily stand-ups, demos and retrospectives keep us agile, and accountable. Continuous integration with automated testing allows us to run a bi-weekly release train. Our beta release process gives us useful insight into user behavior and heavy use of analytics, A/B testing and feature flagging allows for rapid iteration. With a focus on delightful user experiences, we balance building new features, refactoring code, and tweaking existing features based on analytics data. Every line of code gets reviewed by other developers, every pixel inspected by designers, and every feature hammered on by manual and automated QA. Responsibilities: * Keep up-to-date with Android and industry developments * Build great UX for millions of users * Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution * Write well-crafted, well-tested, readable, and maintainable code * Analyze our internal systems and processes and locate areas for improvement/automation * Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices * Identify, triage, debug and resolve issues/bugs across our various applications and platforms * Participate in code, product and design reviews to provide feedback to ensure best practices Experience: * 3+ years of software engineering industry experience * Worked on and shipped large scale Android applications * Experience with Kotlin. Java experience is nice-to-have but not required. * Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry * Experience with Jetpack Compose, unit and snapshot testing, and creating shared components * Great product sense; you care about usability and good design * Ability to work with a low-ego, highly collaborative, and cross-functional team * Bonus points: experience pursuing side projects or open-source projects Benefits: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $128,000-$160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.