Top Tech Jobs & Startup Jobs in Austin, TX

The role involves developing AI-driven compiler technologies, optimizing workflows, integrating learning systems, and collaborating on next-gen compiler capabilities for improved performance.

Provide pre-sales technical support and solutions architecture for NVIDIA networking (Spectrum-X) in AI/HPC deployments. Develop proofs-of-concept, debug complex firmware and networking issues, collaborate with customers and R&D, and help define product requirements and features.

Lead and grow a technical team responsible for verifying AI compilers for next-generation workloads. Define formal verification requirements, drive AI-assisted and compiler-aware verification (fuzzing, differential testing, symbolic reasoning, formal methods), and partner with compiler, CUDA, runtime, and ML framework teams to build scalable verification infrastructure and improve production confidence.

Lead cross-functional compiler software programs from concept to delivery, coordinating global teams, tracking risks and schedules, and improving development processes. Present status to executives, drive Agile and Waterfall projects, resolve technical/resource conflicts, and implement process and tool automation to ensure timely product releases.

Build and operate scalable backend services and data platforms for interactive performance analysis and collaborative profiling workflows. Improve ingestion, storage, query responsiveness, and resilience for large performance datasets. Design durable service interfaces and data models, handle concurrency and partial failures, and establish testing, observability, and operational practices while partnering with frontend, security, product, and source-system teams.

Design and implement high-performance, accessible browser visualizations for profiling data. Build reusable interaction patterns, optimize responsiveness and memory for large datasets, integrate rendering technologies and WebAssembly, and collaborate with backend, product, design, and QA to ship complete user workflows.

Design, build, and maintain full-stack web applications and microservices for VLSI design workflows. Collaborate with users to gather requirements, analyze performance bottlenecks, support large-scale data platforms with high QoS, and develop scalable backend and frontend solutions for chip design productivity.

The job involves developing core libraries for agent-based applications, optimizing performance, and creating tools for scalable deployment of autonomous systems.

Work on client-side AI for Windows/Linux PCs: collaborate across teams and partners to optimize AI inferencing pipelines, perform end-to-end performance analysis, and implement compute/memory optimizations (quantization, pruning, distillation) to fit large models on edge devices.

Lead end-to-end program outcomes across multiple silicon programs from architecture through tape-out and silicon correlation. Own schedules, manage headroom and resources, prioritize and steer engineering, align cross-boundary teams, translate and mitigate technical risk, and implement durable process improvements to raise execution standards and predictably deliver at scale.