Top Tech Jobs & Startup Jobs

This role involves building FPGA prototypes, lab debugging, coordinating with teams, and releasing prototypes to customers. Requires extensive FPGA prototyping experience.

As a Senior Solutions Architect at NVIDIA, you'll architect generative AI solutions focusing on LLMs, support pre-sales activities, and lead efforts to optimize LLM models for customer applications.

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.

You will develop manufacturing processes for datacenter printed circuit boards and optimize solutions with engineering and operations teams, focusing on quality and cost efficiency.

Lead global cybersecurity marketing campaigns: develop strategy, execute product launches and event programs, manage timelines/budgets/creative, coordinate partner co-marketing, and measure campaign performance and adoption through data-driven analysis.

The System Reliability Engineer develops reliability test plans, conducts testing, leads failure analysis, and collaborates with various teams to improve product reliability standards.

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.

Design and implement high-speed digital front-end and back-end for DSPs and silicon photonics IPs: define micro-architecture, calibration algorithms, translate to RTL/firmware, create synthesis constraints, drive timing closure, evaluate PPA trade-offs, and lead post-silicon bring-up, testing, characterization, and cross-functional production handoff.

The role involves driving the adoption of NVIDIA's accelerated computing libraries by collaborating with customers, designing solutions, and providing technical insights.