Top Tech Jobs & Startup Jobs in Austin, TX

The Software Design Control Engineer designs and improves software design control systems to ensure regulatory compliance, collaborates with engineering teams, and maintains software lifecycle management.

As a Quality Systems Engineer, design and improve software-focused design control systems ensuring regulatory compliance across development phases. Responsibilities include building traceability frameworks, optimizing risk management integration, and partnering with engineering teams for compliance in software releases.

As an IT Systems Administrator Intern, you will provide Helpdesk support, manage user onboarding, assist in troubleshooting, and collaborate with full-time administrators on infrastructure projects.

As an Embedded Software Engineer, you will develop firmware for brain-computer interfaces, collaborating cross-functionally on safety-critical embedded systems and delivering manufacturable solutions.

Global Supply Manager oversees commercial relationships with suppliers, manages sourcing strategy, contract negotiations, and supplier performance for various commodities in medical device manufacturing.

Design and implement micro-architecture and RTL for low-power DSPs and hardware accelerators, optimize hardware/software interfaces, model and profile energy/performance trade-offs, collaborate on silicon bring-up and verification, and develop emulation models and test environments.

The Software Engineer Intern will develop safety-critical software for robotic systems, collaborating with various engineering teams to ensure functionality and reliability.

The Senior Mechanical Design Engineer will design HVAC, plumbing, and process utility systems for various facilities, ensuring code compliance and integration with manufacturing processes.

The Digital IC Design Engineer will develop micro-architecture and RTL for low-power processors and hardware accelerators in brain-computer interfaces, collaborating with teams on optimization and testing.

Develop machine learning models for brain-computer interfaces, focusing on decoding neural data and signal processing for improved user interaction.