Top Engineering Jobs in Austin, TX

Design, configure, build, test, and maintain Workday Extend applications and integrations using Workday Studio and APIs. Translate business requirements into technical specifications, document solutions, and participate across the software development lifecycle while collaborating with stakeholders and staying current on Workday and AI-related capabilities.

Design, develop, test, and support Workday integrations (EIB, Connectors, Studio). Collaborate with HR and IT to gather requirements, produce interface specs, perform root-cause analysis, document processes, and optimize integration performance while staying current with Workday updates and AI integration opportunities.

Develop high-performance Android software for automotive user experiences, focusing on infotainment systems and digital displays, while optimizing performance and integrating with embedded platforms.

Design, build, and maintain full-stack applications and data workflows for regulatory, safety, and quality systems. Own end-to-end features from Next.js/React front end through Java microservices to relational databases and Databricks pipelines. Ensure test automation, CI/CD, observability, and secure, versioned APIs. Mentor engineers and translate regulatory requirements into scalable, auditable solutions.

Lead design and implementation of observability and developer productivity tooling for autonomous vehicle engineering. Build and maintain distributed systems, observability pipelines, and cloud-native tooling; influence technical roadmap; perform code reviews and PoCs; partner with engineering teams to improve developer workflows; balance technical debt; and mentor and grow engineers across the organization.

The Senior Data Engineer will design, build, and operate scalable data pipelines for high-performance racing programs, utilizing cloud architecture and streaming systems to support real-time data delivery.

The role involves designing, implementing, and optimizing CUDA-based kernels for autonomous vehicles, ensuring high-performance ML inference for AV software.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Lead design, develop, test, deploy, and maintain OneStream EPM solutions. Participate in full lifecycle projects, integrate systems, provide technical leadership, documentation, and post-live support.

Lead and mentor a software engineering team focused on vehicle software distribution. Drive cross-functional collaboration, oversee the full SDLC, enforce quality, architecture and CI/CD best practices, manage performance and hiring, contribute to roadmap and risk mitigation, and promote an innovative, agile engineering culture.