Top Tech Jobs & Startup Jobs

Support a fast-growing R&D engineering organization in Taiwan by partnering with engineering leaders to implement HR plans, manage employee lifecycle activities (salary planning, relocations, promotions, re-leveling), handle employee relations and performance management, collaborate with global HR Centers of Excellence, and participate in building and rolling out global HR initiatives.

Lead product strategy, roadmap, and go-to-market for NVIDIA enterprise game development solutions. Partner with engineering, ISVs, OEMs, and sales to integrate RTX, generative AI, and developer workflows into studio pipelines. Drive positioning, demos, trade-show strategy, sales enablement, and lighthouse case studies to grow adoption among game developers and publishers.

Develop and optimize TensorRT/TensorRT-LLM inference software for GPUs. Perform performance analysis, tune deep-learning workloads, integrate research advances, collaborate across HW/SW teams, and deliver substantial technical features while publishing results.

Lead on-site validation (OSV) test system projects from concept through deployment. Define technical/operational requirements, manage subcontractors and procurement, perform system integration, validation, and bring-up, maintain configuration control and documentation, coordinate cross-functional teams, track schedules/risks, and support troubleshooting and continuous improvement.

Lead product launch strategy and go-to-market plans for NVIDIAs Computational Engineering products. Drive messaging, positioning, and enablement assets; align sales, partners, and engineering; create content (blogs, whitepapers, webinars, demos); present product value to diverse audiences and support product adoption and growth.

As an ASIC Verification Engineer, you'll verify designs using advanced methodologies, develop verification infrastructure, and collaborate with teams to test hardware and firmware interactions.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

Work with ISVs and customers to design, validate, and deploy GPU-accelerated, hybrid/multi-cloud AI infrastructure. Architect scalable CPU/GPU clusters, optimize storage/networking, support POCs and production adoption, and provide technical leadership across bare-metal, virtualized, and containerized environments while collaborating with engineering, product, and partner teams.

Design and implement manufacturing assembly and automation solutions. Lead DFx activities, root-cause investigations, risk mitigation, fixture and jig development, CM readiness, equipment acquisition, and cross-functional deployment to improve yield, quality, and production efficiency.

Lead development and maintenance of node provisioning, OS image build/packaging, and nodepool lifecycle for NVIDIA Kubernetes Engine. Build CAPI providers, BYON onboarding, hardened image pipelines with automated CVE remediation and compliance gating, and automated test suites. Troubleshoot node-layer failures at scale, collaborate with upstream Kubernetes/CAPI communities, and ensure reliable GPU-optimized node operations across large clusters.