Top Tech Jobs & Startup Jobs in Austin, TX

Drive deployment of NVIDIA GPU and networking solutions at customer data centers: advise on network/compute/storage design, perform bring-up visits, debug performance, build POCs/demos, and liaise with product, engineering, and sales teams.

Lead productization of NVIDIA HGX GPU boards for datacenter servers: define and implement manufacturing test specs, debug complex HW/FW/SW interactions, develop diagnostic tests, ensure DFx and signal integrity, optimize production lines and yield, collaborate with contract manufacturers and quality teams, and drive continuous improvement to meet cost, quality, and DPPM targets.

Design, develop, and optimize high-performance C++ systems for ultra-low-latency media streaming. Build and improve streaming pipelines (WebRTC, GStreamer, RTP/RTCP), analyze performance across server, network, and media pipelines, and collaborate with encoding, cloud networking, and systems teams to define KPIs and reduce latency for cloud gaming and related use cases.

Lead and coordinate complex customer engagements for NVIS from planning through bring-up, handover, and day-2 readiness. Drive cross-functional alignment, surface risks, produce executive RAG updates, resolve P0/P1 blockers, align scope and commercial commitments, and provide technical guidance for data center and AI infrastructure deployments. Support stakeholder communication across Sales, Solutions, OEM/SI partners, and NVIDIA teams.

Customer-facing senior software engineer supporting NVIDIA Networking (BlueField, ConnectX) for AI factories. Provide design-in support, engage customers and partners, identify architectures and requirements for hyperscale AI networking, work cross-functionally, and drive solutions involving embedded/high-performance networking, low-level programming, and performance tuning.

Design, develop, optimize, and debug ultra low-latency C++ streaming systems and media pipelines (WebRTC, GStreamer, RTP). Analyze performance across CPU, memory, networking, and scheduling. Integrate streaming software with platform services across Windows, Linux, QNX, and embedded platforms. Define KPIs for networking and streaming quality and troubleshoot across software, OS, platform, and hardware boundaries.

The role involves owning physics models, defining manufacturing specifications, and validating designs to ensure product quality and performance. The architect will utilize first-principles thinking and AI to improve workflows and drive alignment across engineering teams.

Analyze and optimize HPC application performance across CPU and multi-node multi-GPU systems by driving compiler and library improvements. Port and tune applications, evaluate compiler/runtime/driver impacts, and collaborate with compiler development and application engineering teams to deliver performance enhancements.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Lead GTM technical engagements with data-platform ISVs to design architectures, build POCs, benchmarks, and enablement for NVIDIA acceleration across analytics, databases, and GenAI workflows. Create reference assets, demos, and training while partnering with product, engineering, sales, and customers.