Top Tech Jobs & Startup Jobs in Austin, TX

The role involves validating clocking structures in products, developing test plans, automation, and partnering with design teams to ensure high-quality verification of ASIC designs.

The ASIC Verification Engineer will develop and automate verification test plans, ensuring code coverage and collaborating with teams on design verification processes. This role requires strong analytical and debugging skills with experience in RTL verification methodologies.

Design, develop, and deliver Linux graphics driver solutions and performance features for Vulkan and OpenGL on NVIDIA GPUs. Collaborate with hardware, architecture, and global teams to implement and maintain high-performance graphics software.

Lead a team in developing NVIDIA's backend compilers, guide implementation, enhance compilers, and ensure quality in software development for various applications.

As a Deep Learning Compiler Engineer, you'll analyze deep learning networks, develop optimization algorithms, and collaborate on performance improvements for NVIDIA's deep learning software.

Analyze and develop architectures for AI and high-performance computing to optimize deep learning workloads, using mathematical frameworks and simulations.

Develop algorithms for RTL synthesis, optimize digital logic, and integrate ML methods for EDA tools. Engage in comprehensive software engineering processes to enhance hardware design productivity.

Develop and enhance GPU architecture features, program graphics algorithms, work with hardware simulators, and validate performance models.

Develop optimization engines for VLSI physical design at NVIDIA, focusing on algorithms in C++ for timing optimization, with significant hardware and software collaboration.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.