Top Tech Jobs & Startup Jobs in Austin, TX

Manage strategic medtech and digital health accounts, build executive and developer relationships, expand adoption of NVIDIA’s AI platform, drive revenue and exceed targets. Responsibilities include account strategy, forecasting, client engagement, partner collaboration, communicating platform value, and leading complex cross-functional enterprise engagements. The role requires extensive healthcare technology sales experience, strong knowledge of AI and accelerated computing, strategic thought leadership, and travel up to 25%.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

The Senior HPC Architect role involves deploying large-scale GPU compute clusters, optimizing system administration, and collaborating with researchers on HPC and AI solutions.

Develop and optimize GPU-accelerated numerical linear algebra libraries for AI and high-performance computing. Design kernel generation, JIT compilation, matrix operations, and operator fusions; lead projects involving multiple engineers and teams; provide technical mentorship; collaborate with product management and customers on requirements and roadmaps; and improve performance and maintainability through architectural enhancements.

Lead the technical direction and development of NVIDIA Dynamo, an open-source, production-scale AI inference platform. Drive initiatives in resilience, performance, scalability, and inference infrastructure while collaborating across storage, networking, hardware, and performance teams. Represent Dynamo with customers and the AI community, guide technical strategy, and promote emerging AI/ML infrastructure technologies. The role requires deep systems software, production inference, and senior technical leadership experience.

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

The role involves designing and optimizing GPU architectures for AI Inference, analyzing hardware-software relationships, and developing performance models.

The Senior Formal Verification Engineer will verify ASICs using formal verification methods, ensuring correctness and collaborating with architects and designers across projects.

Develops high-performance computing, AI, machine learning, and GPU solutions for customers and partners. Acts as a trusted technical advisor, designs enterprise GPU and networking architectures, supports AI and HPC applications, creates technical documentation and educational content, and collaborates with industry teams, developers, researchers, and senior stakeholders. The role includes customer engagements, partner strategy, solution delivery, and leadership across complex technology initiatives.