Senior Software Engineer - Vehicle Data Management at Aurora Innovation

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

234000.0

Posted On

23 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GoLang, Python, C++, Linux, AWS, S3, DynamoDB, gRPC, Networking, Load Balancing, API Gateways, System Security, Database Design, Distributed Systems, Microservice Architectures

Industry

Software Development

Description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior software engineer to join Aurora’s Vehicle Data Management team. The Vehicle Data Management Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system. In this role, you will Architect and implement on-vehicle/offload + cloud data systems that scale to hundreds of PB of multimodal data (sensor/log/sim/ML datasets). Improve reliability and performance of offline data workflows: throughput, latency, and discoverability (indexing/metadata/search). Build internal tooling, libraries, and operational patterns that make data pipelines evolve and scale. Own key services end-to-end (design, implementation, rollout, on-call/operations, observability, and incident response). Partner directly with stakeholders across onboard systems, autonomy, ML, and infrastructure to deliver pragmatic solutions. Required Qualifications BS/MS or PhD in Computer Science or a related field Minimum 1 year related experience Required programming skills: GoLang/Python General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services. AWS infrastructure experience, including S3 and DynamoDB in a production commercial system Knowledge of database design, database management and database scalability. Desirable Qualifications Proficiencies with coding in C++ Proficiencies with Linux system Experience with large scale distributed systems or microservice architectures A passion for writing robust, intuitive, high-performance code, and being pragmatic about it Ability to navigate and work efficiently in large codebase Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization. The base salary range for this position is $146,000 - $234,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-#Mid-Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Responsibilities

The role involves architecting and implementing on-vehicle/offload and cloud data systems capable of scaling to hundreds of petabytes of multimodal data, while also improving the reliability and performance of offline data workflows.