Top Tech Jobs & Startup Jobs in Austin, TX

Build and support a robust EDA/CAD environment for IC design teams. Manage PDK, IP, tool, revision-control, licensing, compute-farm, and infrastructure environments. Develop automated EDA flows, scripts, plug-ins, regression systems, and CI/CD pipelines; troubleshoot Linux/Unix, license-server, and tool integration issues; advise leadership on methodology, tooling, and infrastructure upgrades.

Leads corporate IT and DevOps across four international sites, managing teams, SaaS applications, identity, endpoints, networking, datacenter and EDA infrastructure. Owns security, compliance, Linux systems, Kubernetes, CI/CD, developer tooling, physical IT, vendors, budgets and infrastructure modernization. Drives identity automation, OS migrations, SaaS governance, audit readiness, datacenter expansion, international integration and support for semiconductor engineering environments.

Develop and own DSP and algorithm blocks to mitigate analog impairments for analog compute-in-memory: calibration, non-linearity compensation, offset correction, and error estimation. Build Python frameworks and firmware, improve simulation fidelity, correlate silicon and simulation errors, and lead silicon bring-up, characterization, and productization with cross-functional teams.

The Senior Staff Systems Design Engineer will lead the design and development of hardware platforms, ensuring integration between silicon and system design while managing complex PCB designs and collaborating with manufacturing partners.

Design Verification Engineers will develop and verify designs for AI processors, collaborating across teams to ensure functionality through rigorous testing and innovative strategies.

Develop and verify designs for AI processors, focusing on system-level verification, testbench development, and collaboration with RTL designers.

The RTL Design Engineer will design and implement components for next-gen AI processors, collaborate on microarchitecture, and drive timing closure, optimizing for performance and power efficiency.

Architect and build MLIR ecosystems, extending dialects while ensuring conversion paths. Collaborate with hardware engineers to integrate with PyTorch and modern frameworks.

Develop the next generation AI compiler for Mythic's analog compute, optimizing for dataflow architectures and collaborating with hardware engineers.

The role involves verifying mixed-signal and digital systems, creating RNMs, ensuring interface clarity, and contributing to methodologies across teams.