Top Tech Jobs & Startup Jobs in Austin, TX

As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

Lead development of Avride's control system by architecting and shipping Model Predictive Control (MPC) solutions in modern C++, identifying vehicle dynamics parameters from real-world data, profiling for real-time performance, and providing technical leadership, code review, and mentorship to a small controls team while aligning with Planning and Hardware.

The ML Engineer will develop motion planning models using ML techniques, simulate interactions for outdoor delivery robots, and collaborate across teams for integration.

Join Avride's robot simulation team to develop a hybrid simulation framework, integrating real-world data and synthetic environments for autonomous driving tests.

The Site Infrastructure Engineer will build and maintain server and network infrastructure for autonomous vehicle operations, ensuring high performance and reliability.

Analyzes autonomous-vehicle data and driving scenarios to validate dataset quality, identify edge cases and coverage gaps, monitor quality metrics, and investigate anomalies. Reviews annotation batches, maintains dashboards and reports, and automates validation and testing workflows using Python, Pandas, and ClickHouse. Collaborates with product and engineering teams to improve annotation efficiency, testing processes, and data quality.

Build and architect React/TypeScript web applications powering internal engineering tools (simulation, fleet tracking). Collaborate with simulation, analytics, and ops teams to integrate systems, shape APIs, and deliver performant, reliable UIs that enable diagnostics, scenario mining, and fleet configuration.

As a Safety Performance Analyst, you'll review and classify safety-critical events from autonomous vehicle data, enhance safety frameworks, and communicate findings to teams. Your role includes using Python and SQL for data analysis and reporting.

Own and architect the top-level safety case for autonomous vehicles, decompose claims and required evidence against UL 4600 and aligned standards, coordinate cross-pillar evidence production, maintain traceability tooling, prepare for third-party assessments, and report safety case maturity and gate readiness to leadership.

Own quality and delivery of HD maps by interpreting imagery and sensor data to extract and verify road features, triaging map requests, investigating field issues, defining map format and quality criteria, and improving mapping workflows.