Top Tech Jobs & Startup Jobs

Leads enterprise-scale IT programs supporting semiconductor supply chain, AI chip NPI, advanced packaging, manufacturing execution, and launch readiness. Partners across engineering, manufacturing, finance, supply chain, cybersecurity, and audit to deliver SAP, MES, planning, quality, analytics, and data integration solutions. Manages roadmaps, governance, milestones, risks, vendors, dashboards, UAT, deployment, training, and post-launch stabilization.

Build and optimize deep learning performance libraries and tools, including Transformer Engine, for efficient training and deployment of large language models. Develop and benchmark models on NVIDIA GPUs, contribute to PyTorch, JAX, and MLPerf, optimize multi-GPU and multi-node systems, engage with open-source communities and enterprise partners, and influence future hardware and platform software designs.

Develop and support NVIDIA CUDA Math Libraries across emerging and specialized platforms. Responsibilities include platform integration, functional qualification, defect triage, bug fixing, performance benchmarking, regression resolution, and building CI/CD qualification pipelines. The role requires high-performance numerical software development using C++ and Python, parallel computing, numerical methods, and software architecture, with preferred experience in CUDA, GPU computing, math libraries, cross-platform development, and embedded or safety-critical systems.

Build and scale AI platforms and products using agentic AI, LLMs, RAG, long-term memory, and tool orchestration. Design reliable cloud-native systems, integrate agents with enterprise data and services, and develop reusable infrastructure for evaluation and observability. Collaborate across Cloud and AI/ML teams, lead complex technical initiatives, mentor engineers, and support enterprise workflows using Kubernetes, Docker, and hybrid-cloud environments.

Supports Sales FP&A and channel partner programs through financial modeling, MDF and rebate forecasting, incentive analysis, P&L modeling, dashboards, and performance metrics. Partners with sales, marketing finance, accounting, and operations teams to improve channel strategies, data quality, reporting accuracy, and business decisions. The role also administers Salesforce incentive portals, analyzes large datasets, and drives process improvements in a fast-paced global technology environment.

Provides Tier 3 technical support for networking products in data center, AI, storage, and HPC environments. Installs systems, troubleshoots complex network issues, develops customer solutions, manages complex installations, and handles problem resolution. The role requires expertise in routing, switching, virtualization, Linux, scripting, Ansible, and major network vendors. It also involves customer communication, site visits, process improvement, and collaboration with Engineering, Marketing, Support, customers, and partners.

Develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer tools. Build connections between native C++ tools and retrieval, agentic, ingestion, MCP, and enterprise systems. Improve retrieval quality, performance, reliability, and resource usage through benchmarks. Own features from design through delivery while collaborating with graphics, software, and hardware teams.

Develop and troubleshoot networking system software for NVIDIA enterprise products, including Ethernet and InfiniBand adapters, DPUs, DGX platforms, and container orchestration environments. Own complex customer issues from investigation through resolution, develop supporting features and tools, improve product reliability, and collaborate with engineering teams to reproduce and solve problems. The role combines customer-facing technical support with research and development.

Provide technical and customer-facing support for NVIDIA networking and enterprise systems. Develop features and tools, troubleshoot complex Ethernet and InfiniBand switch deployments, collaborate with engineering to reproduce and resolve issues, and improve product availability, reliability, and user experience. Split time between hands-on customer support and development work.

Plans and executes Deep Learning and HPC performance benchmarks, analyzes testing data, and produces reports for engineering, sales, and marketing teams. Develops Python automation scripts, debugs performance issues with engineering teams, and improves automated testing tools and processes across GPU and CPU platforms. The role requires Linux expertise, software compilation, data analysis, and container experience, with preferred exposure to GPU frameworks, HPC applications, cloud benchmarking, compilers, and cluster scheduling.