Top Tech Jobs & Startup Jobs

Verify NVIDIA ASIC, SoC, and GPU designs, architectures, microarchitectures, memory subsystems, firmware, and hardware-software interactions. Develop verification infrastructure using reusable components, random stimulus, functional coverage, assertions, and UVM-equivalent methodologies. Collaborate with architects, designers, and software engineers while debugging complex issues. Preferred experience includes high-speed I/O, memory coherence, embedded firmware, microcontrollers, RISC-V, and verification planning.

Manage new product introduction builds for semiconductor networking products, coordinating engineering, suppliers, operations, and PCB manufacturers. Develop production plans, track deliverables, risks, dependencies, and critical paths, lead cross-functional meetings, communicate program status, resolve issues, and ensure products are production-ready. The role requires supply chain process analysis, semiconductor manufacturing expertise, stakeholder influence, and management of multiple concurrent projects in a fast-changing environment.

Develop and scale production AI infrastructure supporting large GPU clusters and workloads. Responsibilities include Kubernetes operator and API development, GPU resource scheduling, cluster operations, node health monitoring, telemetry-based reliability improvements, incident analysis, and distributed systems engineering. The role collaborates across teams to improve the performance, availability, and scalability of NVIDIA’s DGX Cloud platform.

Design, develop, test, and deliver GPU client firmware and BIOS/UEFI solutions for x86 and ARM platforms. Collaborate with hardware, security, QA, ODM, and vendor teams throughout product development. Build automated unit tests, analyze code quality and performance, support platform-level interfaces, and influence hardware architecture. The role requires strong C/C++, scripting, debugging, and embedded operating-system expertise, with responsibility for end-to-end product delivery.

Manage enterprise accounts in Saudi Arabia by driving demand generation, co-selling, forecasting, revenue growth, and customer training. Build strategic relationships with executives, IT leaders, data scientists, and ecosystem partners. Develop customer-specific go-to-market strategies, promote adoption of NVIDIA platforms, shape tailored product strategies, and collaborate with solution architects, business development, and developer relations teams.

Leads manufacturing engineering for optical products at NVIDIA’s Chonburi site. Responsibilities include developing manufacturing strategies, optimizing production processes, overseeing optical component production, maintaining work instructions and SOPs, implementing quality controls, analyzing performance data, selecting equipment and tools, supporting new product introduction and mass production, and validating new optical technologies. Requires daily onsite attendance and travel as needed.

Design and define end-to-end Network Adapter chip architecture, develop cycle-accurate simulation components, collaborate across physical/logic/software teams, evaluate micro-architecture options, optimize chip/system performance, and disseminate architectural knowledge across the organization.

Develop and validate system-level optical PHY performance for next-generation high-speed optical switches. Characterize optical links using oscilloscopes, BER testers, optical spectrum analyzers, and simulation tools. Collaborate across architecture, optics, silicon, thermal, mechanical, signal integrity, power integrity, and software teams. Drive scalability and transition designs from prototypes to high-volume production while documenting specifications, test results, and performance metrics.

Design and implement agentic platforms, AI workflows, LLM and RAG solutions, evaluation frameworks, and production-grade AI systems. Prepare large-scale data for training and inference, integrate AI with existing products, and collaborate cross-functionally to identify opportunities. The role requires Python proficiency, modern AI expertise, software development experience, and practical experience building AI agents, workflows, and LLM-based solutions.

Develop manufacturing readiness for NVIDIA hardware through DFA analysis, NPI assembly process development, fixture and automation design, tolerance evaluation, CEM coordination, and manufacturing issue resolution. Lead assembly validation, process qualification, cycle-time and waste reduction, cost optimization, corrective actions, and project schedules from conception through mass production.