Top Tech Jobs & Startup Jobs in Austin, TX

Design, deploy, operate, and automate reliable large-scale EDA infrastructure services on NVIDIA hardware. Build tools that reduce manual work, support distributed private and public cloud systems, define service-level objectives, improve observability, and participate in incident response and on-call rotations. The role also provides systems-design guidance to peer teams and may involve Kubernetes, OpenStack, Docker, Slurm, multi-cloud infrastructure, networking, storage, and GPU-based systems.

Design and implement GPU compiler components, optimize compiler performance, solve graphics and parallel-computing compilation problems, collaborate with GPU driver and architecture teams, contribute to LLVM and DXC open-source projects, and help define SPIR-V extensions and standards.

Develop and automate compiler verification tests for GPU compute performance. Analyze functional defects and performance regressions, identify root causes, track issues to resolution, and collaborate with compiler developers. Create test plans, implement and integrate test cases, maintain performance baselines, generate reports and statistics, investigate outliers, and improve testing processes. Work includes programming, build and test automation, execution, reporting, and performance trend analysis.

Build and operate AI infrastructure systems, including telemetry pipelines, observability dashboards, incident-management automation, hardware and software catalogs, service ownership data models, and self-service discovery tools. Lead cross-functional infrastructure initiatives and develop AI-assisted operational tooling. The role requires production software and infrastructure expertise, programming experience, and the ability to improve reliability, visibility, incident response, and operational efficiency across NVIDIA GPU cloud environments.

Design and operate large-scale infrastructure supporting GPU- and CPU-based EDA workloads. Build automation for provisioning, configuration, deployment, lifecycle management, monitoring, health remediation, cluster enrollment, and recovery across Linux compute fleets. Integrate services with schedulers, infrastructure systems, and observability platforms. Participate in incident response, root-cause analysis, capacity planning, and reliability improvements while collaborating with EDA, networking, storage, and hardware teams.

The role involves defining verification strategies, building infrastructure for SoC verification, and collaborating with various teams to meet project requirements.

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.

As an EDA Workflow Optimization Engineer, you will optimize and enhance workflows for chip development, working with teams to investigate, debug, and innovate tools for efficient engineering processes.

Architect GPU boot, PCIe/CXL enumeration, and capability-discovery infrastructure. Collaborate with software, hardware, and verification teams to plan GPU features, develop C++ functional and performance models, create validation test plans, and support post-silicon validation. The role requires knowledge of computer and system architecture, with preferred experience in advanced interconnects, scripting, security constructs, encryption, RISC-V, and microcode development.

Lead complex customer technical programs for AI enterprise data center platforms from early design through system integration, qualification, certification, production readiness, and lifecycle support. Coordinate OEM partner and cross-functional hardware, software, engineering, operations, quality, product, and sales teams. Prioritize and drive customer issues to resolution, manage dependencies and schedules, facilitate technical discussions, communicate executive-level status, and improve product development and software release processes.