Top Tech Jobs & Startup Jobs in Austin, TX

Lead and grow an observability engineering team to define technical vision, build instrumentation, logging, metrics, and tracing solutions, drive platform development and vendor management, and collaborate across AI/ML, firmware, and infrastructure teams to improve reliability and incident response.

Design, build, and operate scalable real-time and batch data pipelines ingesting high-frequency telemetry, simulation, and trackside data. Own Kafka/Flink streaming components, Databricks lakehouse implementations, and infrastructure-as-code deployments. Develop software in Python/Java/SQL, integrate systems, automate testing and releases, performance-tune pipelines, and mentor peers to ensure resilient, secure, high-performance data delivery for motorsports teams.

The Senior Cloud Engineer will manage Kubernetes clusters, implement PaaS features, optimize infrastructure, and enhance operational excellence while mentoring peers.

Lead design and delivery of production-grade AI capabilities to improve developer productivity across engineering tools, CI/CD, and embedded software workflows. Define technical vision, integrate AI into toolchains, drive productionization, establish responsible AI standards, mentor engineers, and influence cross-functional roadmaps and implementations.

Lead design and delivery of agentic data and AI platforms for vehicle product engineering. Build large-scale batch and streaming pipelines, semantic models, observability, and agentic workflows that detect anomalies, recommend or enact remediations, and support production-grade ML services. Drive architecture, governance, standards, mentorship, and cross-functional execution to scale secure, resilient, and observable systems across global vehicle design and manufacturing.

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.

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.