Top Tech Jobs & Startup Jobs

Provides technical engineering support to notebook customers, including feature development, design reviews, documentation, hardware installation, testing, debugging, bring-up, issue reproduction, and cross-functional problem resolution. Reviews schematics, PCBs, and power delivery networks while supporting notebook development and production. Requires strong notebook circuit-design expertise, signal measurement skills, system architecture knowledge, and customer communication abilities.

Lead customer architecture and deployment of scalable AI inference systems across edge and cloud environments. Optimize speech, action, and synthetic data workflows for latency, throughput, memory usage, cost, and quality. Manage production inference configuration, monitoring, capacity planning, testing, releases, and troubleshooting. Evaluate model optimization techniques and create deployment recipes, demos, and enablement materials. Partner with customers, product teams, and engineering to guide technical decisions and accelerate adoption of NVIDIA technologies.

Perform physical design and timing analysis for GPUs, CPUs, DPUs and SoCs across block, cluster, and full-chip levels. Drive frontend/backend implementation including synthesis, equivalence checking, floorplanning, timing constraints, STA-based timing convergence, power convergence, and ECO implementation while collaborating cross-functionally.

Designs and optimizes future GPU and processor memory architectures for power, performance, area, and cost efficiency. Develops architecture and microarchitecture features, prototype models, and power/performance simulations. Analyzes benchmarks and workload results, debugs issues across models, RTL, silicon, and systems, and collaborates with external infrastructure partners.

Optimize deep learning inference for autonomous vehicles and robotics on NVIDIA edge platforms. Analyze model architectures at the operator and kernel level, benchmark performance, resolve customer workload issues, evaluate emerging architectures, and develop TensorRT and compiler-stack solutions for Jetson, DRIVE, GPU, and ARM systems. Collaborate with compiler, runtime, hardware, automotive, and robotics teams while contributing to roadmaps, technical presentations, and production deployment strategies.

The Senior Formal Verification Engineer will verify ASICs using formal verification methods, ensuring correctness and collaborating with architects and designers across projects.

Lead the architecture and delivery of high-scale web products across frontend and backend services, mentoring engineers, and improving code quality. Collaborate to enhance AI infrastructure for efficient research management.

Develop and execute manufacturing processes for datacenter PCB assemblies using advanced GPU, CPU, and interconnect technologies. Partner with engineering, contract manufacturing, procurement, and quality teams to enforce design-for-manufacturing requirements, optimize costs, support prototype and validation builds, troubleshoot production issues, collect metrics, and implement process improvements.

Develop and productize autonomous vehicle platform software for NVIDIA DRIVE. Lead scalable platform test infrastructure and validation workflows, integrate testing with CI/CD, and improve development efficiency on Tegra-based platforms. Collaborate across vehicle subsystems and multinational engineering teams while debugging complex multiprocessor embedded environments. The role requires strong C/C++/Python skills, embedded systems expertise, software-hardware integration knowledge, and effective cross-functional communication.

Lead design and optimization of next-generation high-speed IOs (NVLink, NVLink-C2C), focusing on IO power management, power/performance modeling, interoperability, and deep debug across cross-functional teams to enable product bringup and release.