Top Tech Jobs & Startup Jobs in Austin, TX

The role involves managing and supporting cloud infrastructure, optimizing HPC clusters, and collaborating with engineering teams for performance improvements and operational efficiency.

Lead Front End Design projects, mentoring RTL engineers, define IP features, write and optimize RTL code, oversee pre-silicon verification, and collaborate with cross-functional teams.

The DevOps Sr Principal Software Engineer will lead infrastructure evolution, implement core systems, collaborate with R&D, and ensure system health and compliance.

Develop reliable, scalable software tools for DFT/ATPG, enhancing efficiency in software architecture and algorithms as part of a team.

Develop a deep-learning compiler stack that converts neural network descriptions into optimized code for embedded and special-purpose platforms. Implement and optimize NN operations, use LLVM/MLIR, benchmark on DSPs/accelerators, devise multiprocessor partitioning/scheduling, validate runtimes, and collaborate with hardware designers and partners.

Develop and optimize a deep learning compiler stack (using LLVM/MLIR) that lowers neural networks from frameworks (PyTorch/TensorFlow/Caffe) to efficient code for embedded/special-purpose platforms, implement NN operation kernels, create optimization and scheduling strategies for multicore/DSP/accelerators, benchmark performance, and collaborate with hardware designers and partners.

Lead Front End Design projects, mentor a team of RTL design engineers, develop microarchitectures, and oversee verification activities in the semiconductor industry.

Cadence is offering a 16-week paid returnship for Physical Design Application Engineers to update skills and re-enter the workforce after caregiving. Candidates will work with EDA tools on Digital Synthesis, Place and Route, and Signoff Analysis.

Responsible for designing, developing, debugging, and supporting Design-for-Test software in VLSI Design Automation.

Develop, design, troubleshoot, and support Cadence Innovus for digital implementation. Work on placement, routing, optimization, timing and power analysis; collaborate with customers; apply C/C++ on UNIX. ML/GPU knowledge preferred.