Top Tech Jobs & Startup Jobs

Develop and optimize GPU-accelerated numerical linear algebra libraries for AI and high-performance computing. Design kernel generation, JIT compilation, matrix operations, and operator fusions; lead projects involving multiple engineers and teams; provide technical mentorship; collaborate with product management and customers on requirements and roadmaps; and improve performance and maintainability through architectural enhancements.

Designs high-speed, high-density PCB layouts for NVIDIA products using Cadence Allegro and Capture. Responsibilities include floor planning, component placement, routing, constraint management, topology and signal integrity, EMI/RFI control, and compliance with FCC, UL, European, IPC, and NRC requirements. The role collaborates with product design engineers and supports complex multilayer HDI designs, including 25Gbps-plus applications and back-drilling technology.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Lead signal and power integrity analysis for high-speed systems: develop SI solutions, run 3D/2.5D/2D EM and system-level simulations, correlate models with lab measurements, create board/substrate SI guidelines, automate simulations and data visualization, and collaborate across package/PCB/ASIC design teams.

Lead research and development of algorithms and systems for robotic manipulation and loco-manipulation; integrate methods into real robot systems; co-lead multi-person projects; publish and engage with the academic community; transfer research into NVIDIA products; and mentor interns and junior researchers/engineers.

Develop and deploy embedded firmware for NVIDIA data center systems, including BMC solutions, hardware bring-up, manageability, observability, and out-of-band protocols. Diagnose GPU firmware, power, performance, thermal, and reliability issues; optimize large-scale deployments; and collaborate directly with cloud service providers on co-development, debugging, product introductions, and technical documentation.

Design hardware accelerator and processor architectures for next-generation AI systems. Collaborate with DL researchers, hardware architects, and software engineers to co-design, prototype, and benchmark systems. Analyze DL workloads, identify bottlenecks, propose optimizations, implement prototypes, and validate performance improvements.

Design and develop high-speed mixed-signal interfaces and analog circuits for next-generation NVLink products. Responsibilities include architecture, transistor-level design, schematic, layout guidance, verification, simulation, behavioral modeling, circuit optimization, and post-silicon characterization and debugging using deep-submicron CMOS technologies.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Leads technical marketing for NVIDIA datacenter networking products, evaluating usability, performance, developer experience, and competitive positioning. Builds benchmarks and technical demonstrations, influences product roadmaps, supports go-to-market execution, and develops technical content with PR teams. Collaborates with engineering, product management, marketing, executives, and customers on networking, storage, cloud, and AI/ML workloads. The role also involves cluster setup, monitoring, automation, and performance analysis.