Top Tech Jobs & Startup Jobs

Develop physical design methodologies for graphics processors and SOCs, focusing on innovative solutions to PPA problems and ML-based development.

The role involves developing system software for NVIDIA's DPU, including firmware and drivers, collaborating with hardware teams, and tackling system-level optimizations.

Lead technical performance analysis and optimization of large-scale AI/HPC clusters. Diagnose cross-component bottlenecks, build and maintain benchmarking suites, collect and transform telemetry into time-series dashboards, and collaborate with engineering, field teams, and customers to resolve configuration and performance issues.

Develop and improve C++ algorithms and optimization engines for VLSI physical design (sizing, buffering, CTS, legalization, ECO routing). Own discovery through deployment, collaborate with design teams, and optimize for frequency, power, and performance using EDA tools and scripting flows.

The role involves designing standard cell libraries and custom ROMs, conducting performance analysis, and collaborating with teams for design improvements.

Lead hardware-software co-design for LLM inference: drive and document architecture, build executable C++ hardware models, optimize performance with good algorithms and parallelism, diagnose cross-team chip and subsystem issues, and automate workflows to improve 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.

Develop and support software tools for chip design and verification, optimize workflows, work collaboratively to create high-performance software.

Primary point-of-contact for a customer, providing on-site and remote HPC, Ethernet, and AI infrastructure support. Troubleshoot Linux systems, networking protocols, and interoperability; reproduce and resolve complex issues; collaborate with engineering, marketing, and support; document support methodologies and improve processes.

Design and implement large-scale automated test infrastructure and orchestration for confidential computing on NVIDIA GPUs. Develop test plans, automate test execution, improve coverage, collaborate across teams, and validate CUDA/driver features in distributed, heterogeneous environments using AI-assisted tools.