[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Uber jobs](https://jobs.opennash.com/companies/uber/) · [Search jobs](/search/) Uber · Sunnyvale, CA # PhD 2026 Graduate Software Engineer II (AV Labs), United States Sunnyvale, CA, United States Full-time Early career $171,000 per year Software Engineering Listed on Uber’s official careers site. Posted September 24, 2026. Check that it is still open and apply there. [Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/301355) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / PhD 2026 Graduate Software Engineer II (AV Labs), United States ## Job description About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. You will be at the forefront of Physical AI, building advanced autonomy algorithms to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest autonomy techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. ### What the Candidate Will Do Algorithm Development Develop algorithms that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake. ### System Design Architect onboard systems, including management of upstream sensor dependencies and evaluation metrics for the stack. ### Dataset Optimization Define the requirements for high-quality large evaluation datasets and objective metrics to evaluate the performance of the system.. ### Cross-Functional Collaboration Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production. ### Basic Qualifications Completing or recently completed a PhD in Computer Science, Statistics, Mathematics, or a related quantitative field. ### Preferred Qualifications Proven experience writing clean, maintainable, and high-quality code in a production or collaborative research environment. Deep technical expertise in one or more areas of computer science, such as distributed systems, algorithmic design, optimization, or large-scale data processing. Documented history of solving complex, unstructured problems through independent research or technical projects. Experience designing and crafting scalable, reliable, and reusable software solutions that address complex architectural or algorithmic challenges. Proven ability to thrive in a high-ambiguity environment, demonstrating adaptability and a bias for action. Strong systems-thinking mindset, with the ability to balance long-term technical health with short-term business needs. Excellent communication skills, with a track record of translating complex technical concepts for diverse stakeholders. ## Responsibilities ### For Sunnyvale, CA-based roles The base salary range for this role is USD $171,000 per year - USD $190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. ## At a glance - Posted by the employer: Sep 24, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 25 days - Location: Sunnyvale, CA, United States - Employment type: Full-time - Pay: $171,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/301355) ## More jobs at Uber ### [Graduate 2026 PhD Software Engineer II (AV Labs), United States](https://jobs.opennash.com/companies/uber/jobs/d13eea101513cf12a1e7/) Sunnyvale, CA, United States ### [Senior Software Engineer - Embedded, AV Labs](https://jobs.opennash.com/companies/uber/jobs/b4c0eb63bdae00debf87/) Sunnyvale, CA, United States ### [Senior Software Engineer - Java Platform](https://jobs.opennash.com/companies/uber/jobs/9fd2be4713c8e172efb6/) Sunnyvale, CA, United States ### [Senior Software Engineer – ML Infra](https://jobs.opennash.com/companies/uber/jobs/eab87b1463c171204703/) Sunnyvale, CA, United States ### [Senior Staff Engineer (Backend) Core Services Eng](https://jobs.opennash.com/companies/uber/jobs/ff42b91baff9ac016e42/) Sunnyvale, CA, United States ## Similar jobs at other companies ### [Silicon Engineer, PhD, University Graduate, 2027 Start](https://jobs.opennash.com/companies/alphabet/jobs/0e244a017f906360adc0/) Alphabet · Sunnyvale, CA, USA ### [Graduate - Equipment Engineer](https://jobs.opennash.com/companies/infineon-technologies/jobs/cca1a9686b73bc722dd9/) Infineon Technologies · Leominster, MA ### [Graduate - Sustaining Product Engineer](https://jobs.opennash.com/companies/infineon-technologies/jobs/a9cb4ffc47e80137cefe/) Infineon Technologies · Leominster, MA ### [Graduate Site Engineer England, AR England, AR Unknown Unknown](https://jobs.opennash.com/companies/vinci/jobs/50e7d81fd565825859c8/) VINCI · England, AR ### [Software Engineer, Infrastructure, PhD, Early Career, 2027 Start](https://jobs.opennash.com/companies/alphabet/jobs/35ea9da7f79f8b010bfe/) Alphabet · Sunnyvale, CA, USA +1 more [Jobs in Sunnyvale, CA](/locations/us/ca/sunnyvale/)[Jobs in California](/locations/us-ca/)[Software Engineering jobs](/functions/software-engineering/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)