Top Tech Jobs & Startup Jobs

Design, develop, and debug GPU power and performance management software, including P-state management, DVFS, and power-management controllers. Build real-time control policies, collaborate on hardware-software interfaces, validate pre-silicon and production systems, support silicon bring-up, and resolve complex cross-layer issues involving firmware, drivers, hardware, thermals, telemetry, and workloads.

Develop and support NVIDIA networking technologies for AI clusters, including InfiniBand, NVLink, and Spectrum-X. Reproduce and root-cause complex customer issues down to source code, collaborate with R&D on fixes, analyze high-performance network metrics, and create diagnostic tools. The role requires extensive C and Python development in Linux and embedded systems, networking expertise, customer support experience, and strong communication skills. Occasional weekend or holiday support may be required.

Provide technical enablement and onsite support for enterprise datacenter hardware customers. Review server designs, debug hardware, firmware, and software issues, and support bring-up, validation, and production. Analyze thermal, mechanical, electrical, signal integrity, PCIe, GPU interconnect, and out-of-band management issues. Collaborate with OEMs and internal teams to resolve problems and create product specifications, hardware design guides, application notes, and other technical collateral.

Design and develop core components and performant frameworks for an autonomous driving platform, interfacing with vehicle sensors, optimizing parallel/GPGPU code (CUDA), performing in-vehicle tests and data collection, writing production C++ code, and ensuring quality and safety compliance.

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.

Lead global semiconductor marketing campaigns that translate complex semiconductor and manufacturing technologies into audience-first narratives; coordinate paid, owned, and earned channels; manage timelines, budgets, assets, launch readiness, event presence, and performance measurement; partner cross-functionally with product, partners, creative, PR, regional marketing, sales, and content teams to drive business outcomes.

Build and qualify a pipeline for NVIDIA's Nordic sales teams through outbound prospecting (phone, email, LinkedIn), lead management in Salesforce, demand-generation programs, and cross-functional collaboration with marketing, field, inside, and channel sales to convert leads into opportunities.

Lead and architect AI agent applications by improving reliability, performance, and scalability. This role focuses on full-stack development, operational excellence, and collaboration across teams to build robust production systems.

The role involves designing diagnostic software for NVIDIA's systems, collaborating with teams to ensure software integration, and evaluating technical standards for product lifecycle phases.