We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

At Cruise, the Machine Learning Infrastructure organization (MLI) builds the essential tools, frameworks, systems and services used by every engineer at Cruise. MLI’s goal is to greatly accelerate the development cycle of AV engineers by building the infrastructure to process, analyze, and learn from the many petabytes of data coming from our AVs, simulated tests, and real time services, empowering engineers to focus on improving the car’s safety and performance.

About the Role

As an engineer on the the Data Ingestion team you will be responsible for building and supporting the infrastructure to ingest and analyze multiple PBs/day of data coming from our self-driving cars, simulations, real-time services and other sources. This data powers Cruise, from top-line metrics to the neural networks that run on the cars. Responsibilities include ensuring scalable, transparent, and reliable data ingestion and management platform. You’ll develop tools, data pipelines & APIs to accelerate log consumption and exploitation & building scalable services.

What you will be doing:

• Lead us in the development, optimization and productionization of the next generation data ingestion.
• Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud. Champion engineering excellence by continuously improving systems and processes
• Build self-serve capabilities to help customers to adopt the next generation data ingestion platform
• Leverage production best practices to guarantee a reliable platform for log ingestion across stakeholders in the organization.
• Optimize data pipelines handling data from millions of miles of on-road

What you must have:

• Experience building data ingestion systems and services
• Experience working with big data tools such as Apache Hadoop, Spark, Beam, Kafka or other data processing tools
• Experience building scalable infrastructure on the cloud with Python or Java (or similar)
• Experience building backend software systems networking, load balancing, API gateways, system security, gRPC services.
• Experience with database design, database management and database.
• Comfortable working with the PB scale of dataset and championing engineering excellence by continuously optimizing the systems and processes with SLO/SLA in mind.

Bonus Points

• 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
• Understanding the decoding and encoding of sensor data
• Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.

The salary range for this position is $193,900 - 285,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.

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