Search the 13 jobs at Cruise

The Manager II, Operations Data Science will lead and develop a team of data scientists and engineers, driving strategic initiatives, managing projects, and enhancing analytical capabilities through advanced techniques in machine learning and statistical modeling.

The Senior Driving Behaviors Systems Engineer II defines requirements for autonomous vehicle operations, performs data analysis on driving behaviors, and develops simulation testing. This role involves leading safety analysis, validating systems requirements, and communicating data insights to improve vehicle performance.

The Staff AV Software Systems Engineer will define requirements, analyze autonomous vehicle driving behaviors, apply risk management methodologies, and lead data analyses to improve autonomous vehicle systems. Responsibilities also include developing verification methods, creating stable requirements, and mentoring team members.

The Senior Autonomy Systems Engineer at Cruise will define requirements and metrics for autonomous vehicle operations, analyze driving behaviors, facilitate data-driven design, and lead safety analysis to enhance system performance. They will act as a technical liaison and collaborate with various teams to improve autonomous vehicle systems.

As a Staff Technical Program Manager, you will lead the Simulation and Test team, driving the development and delivery of complex systems. Responsibilities include managing project timelines, resources, and scope, while promoting agile planning and effective cross-team collaboration to ensure successful execution of programs and objectives.

As a Senior Technical Program Manager II at Cruise, you will oversee the execution of technical AI programs related to Autonomy, collaborating with engineering teams to ensure project delivery, enhance communication, and drive cross-functional progress towards company objectives.

The Senior Software Engineer II will lead the design and implementation of complex, scalable, low-latency software systems for self-driving vehicles. Responsibilities include developing I/O and data processing nodes, creating simulation tools, improving software reliability, and collaborating across teams to deliver critical AV features.

As a Senior Software Engineer on the Simulation team at Cruise, you will develop automated tools and pipelines for simulation testing to enhance ML model training and performance evaluation, collaborate across teams to improve user experience, and tackle complex testing challenges.

As a Staff Engineer for the Capacity and Performance Engineering Team at Cruise, you'll enhance scalability and efficiency of the infrastructure by running capacity and performance experiments, collaborating with engineering teams, and developing automation tools. Your role includes improving cloud resource consumption and presenting efficiency opportunities to executives.

As a Senior Software Engineer at Cruise, you'll contribute to the development of advanced self-driving vehicles. Responsibilities will likely include designing and implementing robust simulation and testing frameworks, ensuring vehicle safety, and collaborating with diverse teams to optimize performance and efficiency.

As a Senior Data Engineer at Cruise, you will architect and automate data processing on Google Cloud Platform, collaborate with cross-functional partners, build data pipelines, and mentor junior members. You will empower users to make data-driven decisions through robust data management and modeling.

As a Staff Software Engineer at Cruise, you will design and build a scalable data processing platform using Beam and Spark. You will optimize data systems for performance and cost, lead projects, mentor junior engineers, and ensure robust data management and processing across the organization.

The role involves designing core platform backend software components, ensuring efficiency, scalability, and stability of ML workflows, and collaborating with scientists for model integration into production environments. The ideal candidate will focus on building robust compute platforms and managing distributed machine learning systems.