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.
What we are looking for
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 are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be a key contributor to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.
In this role, you will
- Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.
- Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.
- Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.
- Optimize data processing systems for performance, reliability, and cost-efficiency.
- Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.
- Champion best practices in data governance, data quality, and security.
- Work closely with other senior team members and management to improve the data ecosystem toolings, refine user experience, and continuously polish team roadmap.
Required Qualifications
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of professional experience in software engineering, with a focus on data-related projects.
- Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).
- Solid experience with big data processing frameworks like Presto/Trino, EMR, Apache Spark, Flink, Kinesis Data Stream, or similar technologies.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).
- Strong knowledge of SQL and experience working with relational and NoSQL databases.
- Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools
- Experience with building and managing data pipelines using an orchestrator like Apache Airflow.
- Able to systematically approach open-ended questions to identify pragmatic data solutions that scale
- Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment
- Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders
Desirable Qualifications
- Experience with AI toolings, LLM and agentic frameworks
- Experience with data warehousing solutions like Snowflake or data lake architectures.
- Familiarity with modern data stack tools and practices.
- A passion for building elegant, scalable, and maintainable systems.
- Experience using Amazon Web Services (AWS) tools
The base salary range for this position is $146K-$234K 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-SP1
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 [email protected].
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.
Skills Required
- Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- 5+ years of professional software engineering experience focused on data-related projects.
- Proficiency in at least one data-engineering language (Python, Go, or C++).
- Experience with big data processing frameworks (Presto/Trino, EMR, Apache Spark, Flink, Kinesis Data Streams, or similar).
- Hands-on experience with cloud platforms and data services (AWS, GCP, or Azure; e.g., S3, Redshift, BigQuery, Glue).
- Experience developing and managing data infrastructure components using infrastructure-as-code tools like Terraform.
- Strong knowledge of SQL and experience with relational and NoSQL databases.
- Intermediate knowledge of data analytics infrastructure and data transformation tools such as DBT.
- Experience building and managing data pipelines using an orchestrator like Apache Airflow.
- Ability to systematically approach open-ended problems and design pragmatic, scalable data solutions.
- Ability to work effectively in a highly cross-functional, fast-moving environment.
- Proven ability to communicate technical, data-driven solutions to technical and non-technical stakeholders.
- Experience with AI toolings, LLM and agentic frameworks.
- Experience with data warehousing solutions like Snowflake or data lake architectures and modern data stack tools.
- Passion for building elegant, scalable, and maintainable systems; experience using AWS tools.
Aurora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aurora and has not been reviewed or approved by Aurora.
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Healthcare Strength — A broad set of medical plan options with dental and vision, plus company‑paid life and disability, signals strong healthcare support. Mental wellness access, including coaching and therapy sessions, further strengthens the offering.
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Leave & Time Off Breadth — Flexible vacation for salaried employees, 12 paid holidays, and reasonable sick time indicate generous time‑off provisions. Some roles also accrue substantial vacation days annually.
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Parental & Family Support — Paid parental leave and family‑forming reimbursement demonstrate meaningful support for growing families. Coverage for adoption, surrogacy, egg freezing, and genetic testing extends support beyond standard plans.
Aurora Insights
What We Do
Founded in 2017 by experts in the self-driving industry, Aurora is on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. To move both people and goods, the company is building the Aurora Driver, a platform that brings together software, hardware and data services to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is backed by Sequoia Capital, Baillie Gifford, funds and accounts advised by T. Rowe Price Associates, among others, and is partnered with industry leaders including Toyota, Uber, Volvo, and PACCAR. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Dallas. The company has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Wixom, MI. To learn more, visit aurora.tech. Aurora is backed by Amazon and Sequoia, among others, and has partnerships with leading transportation companies including PACCAR, Uber, FCA, and Hyundai Group. It tests its vehicles in the Bay Area, Pittsburgh, and Dallas and has offices in those cities as well as in Bozeman, Seattle, Denver, and Detroit. Aurora hires people who want to build the future of transportation. Join us!
