Top Tech Jobs & Startup Jobs in Austin, TX

Design and develop scalable infrastructure for deep learning libraries, automate build/test processes, and contribute to open-source tools.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.

Profile, benchmark, and optimize large-scale LLM training and inference across GPUs, CPUs, HCAs, and switches. Focus on collective communication and high-performance networking, build PyTorch trace-based profiling and replay tools, define performance test plans, and collaborate across hardware and software teams to identify bottlenecks and achieve performance targets.

Design and implement an LLVM-based JIT backend for NVIDIA GPUs, develop compiler passes and optimizations to meet performance and compile-time targets, collaborate with hardware and application teams to resolve issues, apply modern compiler technologies, and influence future GPU architectures.

The role involves developing backend infrastructure features, ensuring high performance, debugging, collaborating cross-functionally, and optimizing code for cloud-based simulations.

The role involves architecting and operating NVIDIA's cloud-native attestation platform, developing high-availability services, collaborating with cross-functional teams, and mentoring engineers.

Develop and productize deep learning models for autonomous vehicles: design and improve DNN architectures, train and fine-tune models, apply low-precision quantization (FP16/INT8), optimize inference for NVIDIA hardware, and collaborate with automotive partners and internal architecture teams to deploy performant, power-efficient perception systems.

Design, implement, and extend compute debugger tools and libraries for NVIDIA GPUs across Windows, Linux, and embedded RTOS. Apply debugger, binary-instrumentation, and computer-architecture expertise to integrate new features, collaborate with cross-functional teams, document designs, estimate work, perform peer reviews, and mentor junior engineers.

The Solutions Architect will engage with customers and partners to deliver solutions utilizing NVIDIA technology, focusing on AI, HPC, and data science, and educating stakeholders throughout the process.

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.