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Design, document, and implement low-latency C++ runtime software on Linux for GM's Autonomy Interface. Interface sensors and custom vehicle hardware, apply software best practices, use CI and automated testing, collaborate across teams, mentor developers, and deliver reliable embedded projects incrementally.

Build reusable, analytics-ready telematics data products on Azure Databricks. Design canonical datasets, standardize metrics and business logic, optimize performance and cost, enable self-service analytics, and support AI/ML use cases for enterprise telemetry and connected-vehicle data.

Build, scale, and operate an enterprise telemetry data platform that ingests, processes, and publishes vehicle telemetry at global scale. Develop batch and streaming pipelines using Databricks and Spark, implement observability and data quality controls, optimize distributed workloads for performance and cost, and enable reliable production data products through CI/CD and Infrastructure as Code. Provide technical leadership and partner with analytics, AI, and engineering teams.

Lead design, implementation, integration, and delivery of vehicle-side OTA embedded software using C++. Define and decompose system requirements, drive architecture and defect resolution, support integration and validation, troubleshoot vehicle integration issues, and mentor team members while promoting engineering best practices.

The role involves developing and supporting virtualization technology for testing embedded systems, integrating test environments, and enhancing test processes.

The Senior Software Engineer will design and develop backend services and middleware for GM's infotainment systems, ensuring performance and scalability. Responsibilities include coding in Go, collaborating with teams, leading reviews, and mentoring junior engineers.

The Staff Software Engineer will lead the strategy and development of metrics to evaluate autonomous driving software performance, collaborating across teams and inventing new ML methods for performance evaluation.

As a Senior Software Engineer, you will design metrics, analyze autonomous systems, develop algorithms, and build evaluation dashboards while collaborating with multiple teams to ensure AV quality and performance.

Lead and grow a data engineering team to build scalable, cloud-native multi-cloud Lakehouse data products using Databricks, Spark, Delta Lake and near real-time streaming. Drive migration from legacy systems, enable AI/ML and GenAI use cases, ensure observability, data governance, CI/CD, and collaborate with product, analytics, security and architecture teams to deliver customer and marketing data solutions.

The Senior Fullstack/Frontend Engineer will architect and implement scalable frontend systems for AV mapping applications, collaborating with cross-functional teams to enhance user experience and performance in autonomous driving technologies.