Description:

Cruise is a self-driving service focused on building advanced self-driving vehicles to enhance urban mobility and safety.
The company fosters a culture that values diversity, equity, and inclusion, encouraging all individuals to contribute their unique experiences.
The position is remote-friendly and involves building and supporting a petabyte-scale data platform in the cloud for Cruise’s ML Data Platform tools, frameworks, and services.
Responsibilities include ensuring scalable and reliable data ingestion and management, developing data consumption and processing tools, and orchestrating large-scale computational pipelines.
The role requires leading the development and optimization of the next generation data processing platform using Beam and Spark in the cloud.
The engineer will build self-serve capabilities for customers, design and implement scalable distributed data systems, and manage technical projects from inception to completion.
The position involves conducting technical interviews, onboarding, and mentoring junior engineers and interns.

Requirements:

Candidates must have experience building a data processing system using Beam/Spark and its ecosystems from the ground up.
A proven track record in optimizing data processing clusters for cost efficiency and performance is required.
Experience in building high-throughput, low-latency serving systems is essential.
Candidates should have experience with the full ML model lifecycle, including feature engineering, training, validation, deployment, and monitoring.
Proficiency in building scalable infrastructure on the cloud using Python or Java/Scala (or similar) is necessary.
A minimum of 10 years of experience working with big data is required.
A BS, MS, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, or equivalent real-world experience is mandatory.
Candidates should demonstrate a passion for self-driving technology and possess strong problem-solving skills.
A startup mentality and the ability to adapt to unknown challenges are important.

The position offers a competitive salary and benefits package.
Employees receive medical, dental, and vision insurance, as well as life and AD&D coverage.
Subsidized mental health benefits are provided.
Paid time off, holidays, and various types of leave (parental, medical, family care, and military) are included.
A 401(k) matching program is available.
Additional benefits include fertility assistance, flexible spending accounts, and a perks wallet program.
Local employees can take advantage of a pre-tax commuter benefit plan.
The CruiseFlex policy allows for location flexibility in work arrangements.