Top Tech Jobs & Startup Jobs in Austin, TX

Lead and mentor a team to develop enterprise-scale applications using Java and React, ensuring best practices and modern technology adoption.

Sets enterprise technical direction for embedded software engineering platforms supporting software-defined vehicles. Defines multi-year architecture, standards, governance, quality gates, build and test modernization, CI/CD strategy, and platform roadmaps. Resolves cross-domain technical risks, advises senior leadership, drives adoption across organizations and suppliers, establishes measurable engineering improvements, and mentors senior technical leaders. The role may specialize in virtualization and CI infrastructure, quality gating, test-system modernization, or build-system modernization.

Leads architecture, roadmaps, and implementation of embedded software engineering platforms spanning build, test, integration, validation, release, virtualization, and CI/CD. Drives multi-team technical initiatives, establishes reusable standards and quality gates, improves reliability and developer productivity through engineering data, and partners across software, cloud, cybersecurity, validation, quality, and supplier organizations. The role requires hands-on technical leadership in embedded, real-time, safety-critical, or mission-critical software environments.

Develop and maintain enterprise data-intensive and AI-enabled applications supporting product development and quality teams. Build optimized SQL transformations, Databricks pipelines, Java/Python backend services, APIs, and cloud-native applications using Kubernetes and Docker. Partner with AI teams to productionize ML and LLM solutions, implement testing, CI/CD, observability, security, and reliability practices, troubleshoot production issues, shape architecture, and mentor engineers.

Leads and develops an engineering team focused on developer productivity and observability for autonomous vehicle software. Defines technical strategy and platform roadmaps, oversees distributed systems architecture, instrumentation, logging, metrics, and tracing, and supports incident response. Partners with AI/ML, firmware, and infrastructure teams to improve reliability. Leads telemetry tools and data pipelines at scale while managing third-party observability vendors, costs, coaching, performance reviews, and career development.

Design, build, and deploy scalable ML training and evaluation platforms for autonomous driving. Lead architecture and implementation of distributed, high-performance pipelines, drive cross-team prioritization, mentor engineers, and support recruiting and code quality to accelerate ML model development lifecycle.

Lead architecture, design, and implementation of scalable MyAccount web and platform capabilities. Drive technical strategy across teams, develop applications and APIs, improve reliability, performance, observability, and security, and ensure robust automated testing. Mentor engineers, influence architectural decisions, connect technical initiatives to business goals, and maintain operational ownership of customer-facing systems.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

Leads performance engineering for scalable backend services, APIs, microservices, and distributed systems. Diagnoses production performance issues, identifies bottlenecks, develops optimization strategies, and conducts load and capacity testing. Collaborates with DevOps, SRE, architects, and engineering teams on resilience, architecture, and technical design. Mentors junior engineers and drives performance best practices.

Lead the development and production deployment of machine learning, generative AI, and multi-agent solutions. Translate business problems into scalable AI products, build models and data pipelines, architect cloud and lakehouse systems, and implement MLOps, LLMOps, evaluation, governance, security, and monitoring. Partner with cross-functional stakeholders, communicate technical outcomes, troubleshoot production issues, mentor teammates, and shape the strategic roadmap for enterprise AI capabilities across Azure, Databricks, AWS, and GCP.