Search the 54 jobs at Aurora

As a Senior Software Engineer at Aurora, you will collaborate across teams to understand developer challenges, enhance tools for developing and testing autonomous vehicles, and improve workflows for software delivery and scaling. You will contribute to various areas including developer tooling and release management.

The Senior Global Planning Analyst will lead S&OP Supply Reviews and drive data-driven decision-making. Responsibilities include analyzing supply plan changes, developing executive reports, and proposing process enhancements. The role requires collaboration with cross-functional teams and proficiency in advanced planning tools.

The Staff Supplier Quality Manager at Aurora is responsible for overseeing supplier development and maintenance of autonomous vehicle hardware. This includes managing quality requirements, conducting supplier audits, guiding corrective actions, and collaborating with various teams to ensure compliance with industry standards and improving supplier quality performance.

As a Staff Software Engineer in the Map Fusion team, you will develop online algorithms for semantic mapping and motion planning while validating frameworks in cloud environments. You will work on enhancing map content in real-time, updating routing plans based on construction, and ensuring high-integrity delivery of these functions.

The Supplier Quality Manager will be responsible for developing and maintaining quality standards for autonomous vehicle components by assessing supplier capabilities, leading the PPAP process, conducting audits, and driving corrective actions and process improvements while collaborating with cross-functional teams.

The Program Manager, Operations Safety at Aurora will lead the development and implementation of safety initiatives across operations, manage Safety Performance Indicators, collaborate with cross-functional teams, and ensure adherence to safety standards. The role involves generating insights from performance data, preparing safety reports, and driving continuous improvement in safety management processes.

As a Software Engineer II at Aurora, you will lead the design and optimization of systems for managing log data on the cloud, ensuring compliance with retention policies. Your role involves creating automated workflows, enhancing user interfaces for log management, and collaborating with a diverse team to achieve engineering excellence while working with large datasets.

As a Software Engineer II in the Data Curation team, you will develop and enhance a data management system on Amazon S3, ensuring compliance with retention policies. You'll implement automated workflows, optimize user interfaces for log management, and work with large scale datasets while collaborating with cross-functional teams to achieve engineering excellence.

Aurora is looking for C++ Software Engineers who can contribute to existing products and help strengthen future developments. Responsibilities include using strong software engineering skills in a product-focused environment. All levels are welcomed, emphasizing safety and collaboration among diverse teams.

As a Staff Data Analyst at Aurora, you will work cross-functionally with Engineering teams to develop metrics, automate processes, and provide data-driven insights. Your role encompasses designing dashboards and supporting critical validation activities, leveraging extensive data from various test modalities to enhance the Aurora Driver's development and commercialization efforts.

The Staff Functional Safety Engineer will perform safety analysis and derive safety requirements for autonomy software subsystems. Responsibilities include conducting hazard analysis, building functional safety concepts, and collaborating with cross-functional teams on safety-critical design decisions.

As a Software Engineer in Perception at Aurora, you will collaborate with the team to enhance algorithms for the Aurora Driver, develop deep learning models for diverse driving scenarios, and work on machine learning algorithms for task recognition and scene understanding, ultimately integrating and validating these solutions into production code.

The Staff Software Engineer will develop mission-critical online algorithms focusing on semantic mapping and motion planning, validate frameworks on large datasets in cloud environments, and provide safety evidence, while updating dynamic map content and routing plans in real-time.

The Senior Vehicle Platform Safety Engineer will lead functional safety engagements for integrating the Aurora Driver into vehicles, developing safety plans, conducting safety analysis, and supporting safety case development for autonomous vehicles.

The Senior InfoSec Site Reliability Engineer will support and design infrastructure solutions, manage and evolve IAM platforms and public key infrastructure, develop monitoring tools, and participate in on-call support for InfoSec services.

The Tech Lead Manager for the Perception Team will lead the team managing deployed ML components of the perception system, define technical direction, allocate resources, and oversee all aspects of production ML models. Responsibilities include mentoring engineers, managing projects, and ensuring performance metrics are met.

Lead a team managing a deployed ML subcomponent of the perception system. Define technical direction, set milestones, manage resources, and ensure performance of the ML model. Responsible for team growth and development.

The Senior Software Engineer will work on integrating hardware components into Aurora's self-driving vehicle platforms, define compute and network architecture, and optimize performance. Responsibilities include collaborating with autonomy engineers, testing infrastructure, and providing support for fleet operations.

The Senior Staff Software Engineer for Deployment will design, implement, and maintain software deployment services for autonomous vehicles, ensuring reliable software management. The role includes leading projects, mentoring, and collaborating across several teams to enhance scalability and reliability in production systems.

The role involves collaborating with autonomy and hardware teams to enhance ML technology, evaluating software and hardware strategies, conducting R&D in ML technology, and influencing ML strategy for better performance and efficiency.