Top Tech Jobs & Startup Jobs

Lead developer marketing programs to acquire, activate, and grow developers building AI applications on PC using NVIDIA SDKs and RTX. Create technical content, run community and partner activations, educate developers on platform capabilities, drive engagement and evangelism across channels, and use analytics to improve program performance.

Design and scale large-scale autonomous driving simulation platforms and workflows. Develop Real2Sim/Sim2Real domain adaptation, neural rendering and synthetic data pipelines, optimize performance and distributed infrastructure, collaborate with researchers and product teams, and drive production technology transfer for AV validation and training.

Lead end-to-end execution of DGX Cloud product initiatives, coordinating cross-functional teams across software, hardware, and cloud platforms. Define roadmaps, metrics, and schedules; identify and mitigate risks; improve development workflows; report status to senior management; and drive organizational alignment to deliver scalable AI training and inference infrastructure.

Lead generative-data strategy and roadmaps for LLMs and visual models. Build end-to-end data pipelines (synthetic generation, HITL, RL loops), define data quality and evaluation frameworks, partner with researchers, engineers, customers, and legal/ethics to enable safe, scalable model training, fine-tuning, and deployment, and establish external partnerships for dataset access.

Design, develop, and maintain engineering solutions to validate, monitor, and operate GPU clusters for ML researchers. Research and apply AIOps/Agentic AI to reduce operational toil, enable self-service reliability and performance improvements, and participate in on-call support for platform systems.

Build and optimize local LLM inference and agent runtimes for Windows and GeForce RTX GPUs. Profile and reduce latency/memory, integrate CUDA/TensorRT pipelines, implement sandboxed security and privacy routers, and harden multi-agent orchestration for constrained consumer hardware while collaborating across research, driver, and open-source teams.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

The Senior Software Engineer at NVIDIA will design and build CI/CD pipelines, implement testing frameworks, and drive automation initiatives across developer and release workflows.

The Senior HPC Architect role involves deploying large-scale GPU compute clusters, optimizing system administration, and collaborating with researchers on HPC and AI solutions.

The role involves supporting CAD tools, debugging design errors, and developing flows/scripts to improve productivity for custom circuit designers, requiring strong technical skills in VLSI design and ICV.