Top Tech Jobs & Startup Jobs in Austin, TX

Support internal IT operations, including employee onboarding and offboarding, device and software provisioning, access requests, ticket queues, workplace technology, hardware inventory, and IT process documentation. Provide on-site support across macOS, Windows, and Linux environments while coordinating with HR, Security, Workplace, and other stakeholders. Preferred experience includes Google Workspace, MDM tools such as Jamf or Intune, SaaS administration, Python automation, and audit-related IT processes.

Design, build, and operate Python backend services, APIs, databases, and labeling pipelines for massive autonomous vehicle sensor datasets. Own systems from ingestion through delivery, integrate vendors and internal tools, develop validation and quality monitoring, improve human labeling with ML automation, and collaborate with ML and perception teams. Lead technical design, review code, mentor engineers, and support production reliability through deployment, monitoring, and on-call responsibilities.

Lead development of Avride’s ML infrastructure, initially owning GPU inference performance for onboard and simulation workloads. Build and optimize C++ execution frameworks, runtimes, and distributed infrastructure supporting neural network pipelines. Collaborate with applied ML teams on model architecture, diagnose performance issues, and expand ownership across broader ML pipelines. The role requires deep GPU and PyTorch knowledge, distributed systems experience, and strong expertise in multithreaded C++ environments.

The QA Engineer will design and execute testing plans for autonomous driving software, analyze test scenarios, and document outcomes. Collaboration with cross-functional teams is crucial for improving test processes and safety metrics.

Own autonomous-vehicle safety testing across QA gates, acceptance criteria, reporting, release decisions, and evidence generation. Define and calibrate safety thresholds, classify findings, connect hazard analyses to scenario coverage, coach QA engineers, validate metrics, translate safety frameworks into testable requirements, and track applicable regulations. The role requires influencing cross-functional teams, documenting residual risk clearly, and supporting safety cases and regulatory readiness.

Owns quality acceptance and release qualification for analytical metrics used in autonomous-driving software decisions. Responsibilities include defining comprehensive case spaces, identifying silent failures, reviewing implementations, creating test data, building regression tests, quantifying defects, and communicating evidence-based fixes. The role requires strong Python and SQL, statistical literacy, product judgment, and experience testing data-heavy systems. Autonomous vehicles, robotics, ML evaluation, ClickHouse, A/B testing, and annotation experience are preferred.

Develop and maintain CI/CD pipelines, hardware-in-the-loop systems, firmware deployment tools, diagnostics, and embedded-system testing infrastructure. Collaborate with hardware and software teams on system architecture, monitor infrastructure performance, resolve firmware development issues, and improve build, test, and deployment workflows for autonomous vehicles and robots.

The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.

Develops motion planning algorithms, collaborates with engineering teams, and optimizes performance for autonomous vehicle decision-making.

As a Senior Frontend Engineer, you will develop low-latency interfaces for autnomous vehicle control, optimizing for performance and integrating real-time data.