Top Tech Jobs & Startup Jobs in Austin, TX

Design and deliver high-performance flip-chip BGA ASIC packages addressing signal integrity, power integrity, thermal, reliability, and manufacturability. Perform physical layout, manage multiple projects, interface with customers and vendors, and improve design processes and automation.

Develop and simulate Serdes architecture, document requirements, implement DSP algorithms, collaborate with teams, and support customer interaction.

Design and verify front-end RTL blocks for ASIC cores: define architecture, implement logic, perform synthesis, constraints, simulation and formal verification, analyze timing from physical implementation, debug Verilog designs, and collaborate across global teams within the full ASIC implementation flow.

Responsible for front end design and verification of ASIC design blocks, including architecture definition, logic design, synthesis, and verification through simulation and analysis of timing.

The role involves designing flip-chip-BGA packages for ASICs, collaborating on designs, managing projects, and improving processes.

Perform DFT tasks including MBIST and scan insertion, ATPG and pattern simulation, ATE pattern development and silicon debugging, yield analysis, and cross-functional DFT collaboration during design and silicon bring-up.

Serve as a bridge between engineering and customers, solving complex issues through innovative solutions, mentoring, and evangelism in the Kubernetes ecosystem.

Develop system software for converged appliance platforms, implement enhancements, full stack development, and provide operational support. Collaborate with teams and improve system performance through test-driven development and CI pipelines.

Design and develop Ethernet, PCIe PHY low-level drivers, conduct code reviews, test APIs, and maintain software development lifecycle. Engage with customer applications and enhance product features.

Lead design and implementation of an AI Virtualization Stack for ESXi, integrating PyTorch/JAX backends via OpenXLA. Optimize ML acceleration (LLM inference, KV-caching, FlashAttention), troubleshoot GPU/XPU runtime issues, collaborate with driver/device teams and vendors, and deliver production-quality code and documentation.