Top Tech Jobs & Startup Jobs in Austin, TX

The role emphasizes supporting partners with technical challenges related to Arm technology, requiring skills in software and firmware development, customer training, and technical documentation.

The Sr. Product Manager will lead product cycles from definition to release in the Physical AI sector, develop strategies, and enhance partnerships to secure licensing and design wins.

The role involves supporting, training, and assisting developers in using Arm technology while creating educational content and technical marketing materials.

As a GRC Risk Manager, you will lead security risk assessments, manage supply chain cyber risks, and partner across departments to ensure effective risk management.

Lead and manage a global team of Silicon FAEs, ensure customer satisfaction from evaluation to deployment, establish operational frameworks and metrics, and engage with executives on strategic accounts.

The Power Analysis Engineer will analyze and optimize performance per watt of next-gen solutions through simulation, modeling, and collaboration, focusing on power analysis and EDA tools.

Seeking a skilled SoC Engineering Leader to manage a team in developing clock, reset, power, and thermal management solutions. Responsibilities include architectural design, implementation, and post-silicon bring-up, collaborating with partners and internal teams to deliver efficient SoC products.

The Principal System Level Product Engineer leads product engineering efforts across design and validation teams, focusing on silicon bring-up, manufacturing test, yield improvement, and system reliability. The role involves defining product requirements, overseeing technical operations, and collaborating with partners to optimize processes and methodologies.

The role involves field applications engineering focused on silicon, likely supporting customers and assisting in technical implementations.

The Principal Machine Learning Engineer will develop ML algorithms and optimize performance on ARM computing platforms, collaborating across hardware, software, and ML algorithms, while focusing on performance, power, and area.