Top Robotics Jobs in Austin, TX

The Senior Software Engineer will architect and automate data processing in cloud environments, collaborate with teams to build data platforms, and mentor junior engineers.

As a Staff Software Engineer, you will lead simulation-based validation for autonomous vehicles, developing and prototyping evaluation methods, analyzing driving behaviors, and mentoring team members.

Manage engineering teams, define technical vision for observability, provide architectural oversight, and lead development of internal tools to enhance developer productivity and system reliability.

Develop and maintain functionally safe software for robotics, ensuring robust firmware architecture and performance. Lead testing and integration initiatives.

The Field Marketing Manager will lead regional events and campaigns, manage project logistics, and work closely with sales teams to enhance marketing efforts for Carbon Robotics' products.

The Quality Engineer will drive product and process quality improvements, analyze customer feedback, collaborate with cross-functional teams, and ensure quality standards are met throughout product development. Responsibilities include root cause analysis, corrective actions, and enhancing user experience.

The Director of U.S. Government Sales & Business Development will drive growth in UAS sales, engage with DoD and civilian agencies, and lead capture strategies.

The Business Development Representative will drive growth by engaging municipal partners, qualifying leads, and conducting outreach to solid waste authorities, establishing professional relationships to boost AMP's sales pipeline.

Develop high-performance interfaces for remote control of machinery, focusing on frontend and backend systems, user interactions, and security.

The Robotics Engineer will design and implement embedded software and firmware for robots, lead hardware platform integration, and mentor teams.

Join Skyways as a Senior GNC Engineer to analyze flight software, assist in aircraft operations, and develop testing capabilities to improve vehicle performance.

As a DGX Cloud Performance Engineer, you will analyze and optimize the performance of AI applications on large-scale parallel systems, collaborate with teams, and develop benchmarks and methodologies.

Design and develop a scalable SLAM system for autonomous vehicles, collaborate with engineers, and provide field support to customers.