Software Engineer, Aurora
Data Eng infra
$116-174k
+ Annual bonus + Equity compensation
3+ days a week in office (Mountain View, CA)
Self-driving technology company
Posted today
Self-driving technology company
1001+ employees
Posted today
$116-174k
+ Annual bonus + Equity compensation
3+ days a week in office (Mountain View, CA)
1001+ employees
Company mission
To deliver the benefits of self-driving technology safely, quickly, and broadly.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 1+ years of recent 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++)
- Preliminary experience with big data processing frameworks like 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
- Preliminary 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
- 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
What the job involves
- 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 working with our seasoned engineers and contribute 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
- 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
Our take
The trucking industry is facing growing pressure from driver shortages, rising delivery demand, and the need for safer, more efficient freight transport. Long highway routes are expensive and tiring for drivers, especially on repetitive trips so companies are looking for new ways to move goods faster and more reliably while keeping costs low and improving safety.
Aurora Innovations is developing self-driving technology for long-haul trucks through its "Aurora Driver" system. Already, the company is operating autonomous freight routes across Texas and nearby states, often handling the highway portion of deliveries while human drivers complete local drop-offs. On top of this, the company is partnering with major companies like McLane, Volvo Autonomous Solutions, and Hirschbach to bring autonomous trucking into real commercial use.
In an exciting move, Aurora is now going beyond testing and into large-scale operations. McLane has approved driverless freight runs between Dallas and Houston, while Volvo and Aurora have expanded autonomous deliveries into Oklahoma City. With plans to scale routes across the US and agreements for hundreds of future autonomous trucks, Aurora is gearing up to play a very powerful position in autonomous freight transport.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2020
$400m
GROWTH EQUITY VC
Feb 2019
$600m
SERIES B
Total funding: $1.1bn
Company HQ
Strip District, Pittsburgh, PA
Leadership
Chris Urmson
(Co-Founder & CEO)Chris graduated from Carnegie Mellon University with a PhD in Robotics. Prior to co-founding Aurora in 2017, they were the CTO of Self-Driving Cars at Google.
Drew Bagnell
(Co-Founder & Chief Scientist)Drew is a Consulting Professor at Carnegie Mellon University, where they received their PhD in Robotics. Previously, they were an Autonomy Architect & Perception Lead at Uber Advanced Technology Center.
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