Top Tech Jobs & Startup Jobs

As a Senior AI Frameworks Engineer, you'll develop high-performance APIs and infrastructure for GPU programming, ensuring a seamless developer experience in AI and deep learning contexts.

The role involves driving physical design and timing of high-frequency DPUs and SoCs, optimizing design constraints, and ensuring performance, power, and area targets are met through various engineering analyses and implementations.

Lead ASPICE and HW SPICE assessments, mentor teams, and communicate findings to enhance process maturity in automotive programs. Requires strong ASPICE knowledge and program management experience.

The NCX Engineer will develop custom AI solutions, provide technical support, manage AI workloads, and optimize performance on NVIDIA platforms.

The role involves defining and leading semiconductor test strategy, guiding architectural decisions, adopting AI/ML for yield optimization, and mentoring engineers.

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.

The role involves developing AI systems software, implementing and optimizing kernels for AI workloads, and collaborating on deep learning frameworks and libraries.

This role involves building FPGA prototypes, lab debugging, coordinating with teams, and releasing prototypes to customers. Requires extensive FPGA prototyping experience.

Design and implement GPU profiling features, develop performance models, create test plans, and innovate profiling methods for AI performance optimization.

Develop and optimize high-performance math kernels for NVIDIA GPUs using CUTLASS, focusing on Tensor Core-based deep learning kernels in CUDA C++ and Python.