Top Tech Jobs & Startup Jobs in Austin, TX

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

Develop and deploy tools and workflows for engineering. Verify design blocks, automate RTL generation, and improve IP development integration.

Verify ASIC SoCs and IP with emphasis on cache coherency across CPU/GPU memory subsystems. Develop UVM/SystemVerilog testbenches, constrained-random and directed tests, create test plans, collaborate across architecture, design, software, emulation and post-silicon teams, and drive silicon/platform verification strategies.

The Senior Software Engineer will develop a code generation backend for deep learning GPUs, working on compiler infrastructure and optimization to improve performance and integration with NVIDIA's ecosystem.

The Solutions Architect will design and implement cloud infrastructure solutions for Rack Scale AI products, collaborating with teams to improve deployment efficiency and product onboarding.

Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs while collaborating with teams to enhance compiler performance.

The role involves developing high-performance GPU memory architectures, focusing on energy efficiency, power analysis, and collaborating on system infrastructure optimization.

The Senior Digital Design Engineer will develop high-performance RTL blocks for NVLink Fusion AI chips, collaborating across teams to meet project goals.

Lead the design and validation of diagnostic methods for hardware failures in SoCs for datacenters and autonomous vehicles, working closely with RAS Architects and cross-functional teams.

The role involves analyzing compiler performance, automating tests, driving performance regressions to resolution, and enhancing testing processes in a team-oriented environment.