Top Tech Jobs & Startup Jobs

Lead technology strategy and system architecture for next-generation wireless infrastructure. Apply AI/ML to RAN (L1/L2+) and transform core to agentic AI-based packet core. Prototype GPU-accelerated algorithms, engage partners and standards bodies, and drive performance optimizations and new edge applications (ISAC, SemCom, Physical AI).

Lead design, build, and operate AIOps and observability platforms (metrics, logs, traces, alerts, dashboards). Define roadmap and standards, collaborate with teams, mentor engineers, and implement ML/LLM-based anomaly detection, forecasting, root-cause analysis, and agentic debugging across large-scale cloud, on-prem, and bare-metal environments.

Develop and deliver CUDA driver features across pre-silicon simulation, silicon bring-up, and production software. Collaborate with hardware and software teams to design, implement, test, and stabilize GPU compute and graphics functionality across multiple operating systems.

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.

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

Lead IT and cybersecurity audits across internal infrastructure and customer-facing platforms. Assess cloud and multi-cloud security, evaluate emerging technology governance (AI/ML, analytics), identify control gaps, recommend remediation, and communicate findings to technical and business stakeholders while building relationships with IT and security leaders.

Support manufacturing FP&A by determining product costing, analyzing variances, forecasting inventory and purchase commitments, performing month/quarter close reconciliations, conducting inventory reserve analysis, building ad hoc analyses, and driving process and system automation for deeper data-driven decision-making.

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.

Lead GPU and HPC cluster architecture and deployment for cloud partners: design end-to-end GPU/NVLink infrastructures, perform performance modeling, validate and debug cluster configurations, support NPI deployments, and serve as technical liaison between engineering, product, and field teams.

Own global channel strategy and execution for NVIDIA Jetson and IGX platforms. Manage distributor relationships, drive partner onboarding, pipeline creation, revenue, and partner readiness. Collaborate with marketing on channel programs, MDF-funded activities, demand generation, and performance measurement through reviews, scorecards, and dashboards.