Top Tech Jobs & Startup Jobs

Leads NVIDIA’s Developer Infrastructure and Build Engineering organization, overseeing DevOps, CI/CD, build systems, developer platforms, and employee-facing software delivery. Responsibilities include hiring and mentoring engineers, setting technical strategy, managing architecture and roadmaps, improving developer productivity, and operating reliable, secure, business-critical services. The role requires deep expertise in C++, CUDA, build systems, distributed software, release processes, and large-scale CI/CD platforms, along with extensive engineering leadership experience.

Verify NVIDIA GPU ASIC designs across architecture, microarchitecture, golden models, and implementations. Develop verification scopes and infrastructure using UVM or equivalent methodologies, random stimulus, functional coverage, and assertions. Build unit- and system-level testbench environments, debug issues with simulation and analysis tools, and collaborate with architects, designers, and pre- and post-silicon verification teams.

Designs and develops GPU, CPU, and Tegra SoC-based hardware systems. Responsibilities include schematic creation, PCB layout oversight, system validation, product bring-up, board-level debugging, circuit optimization, manufacturing documentation, and collaboration with hardware and software engineering teams to balance cost, performance, and schedule.

Develop and optimize distributed AI workloads across multi-GPU and multi-node NVIDIA platforms. Responsibilities include cluster bring-up, benchmarking, debugging, root-cause analysis, failure attribution, automation, acceptance testing, runtime tuning, and performance analysis for training and inference workloads. The role collaborates across framework, systems, and platform teams to improve reliability and scalability of large-scale AI infrastructure.

Lead cloud infrastructure programs spanning data center bring-up, bare-metal deployments, fleet automation, hardware validation, capacity operations, and software integration. Coordinate NVIDIA engineering teams, cloud partners, and data center operations while developing roadmaps, governance, metrics, workflows, and risk management processes. Drive infrastructure readiness, cluster deployment, operational health, and customer-ready capacity across the DGX Cloud lifecycle.

Leads cross-functional system-level debugging across server and data center hardware and firmware. Performs root cause analysis, develops tests and automation, validates corrective actions, and resolves electrical, mechanical, thermal, and firmware issues. Collaborates with engineering, manufacturing, suppliers, and contract manufacturers while documenting findings and mentoring teams.

Design, build, and manage large-scale software platforms for enterprise storage infrastructure. Develop REST APIs, provisioning tools, monitoring, telemetry, deployment automation, and self-service storage capabilities supporting NVIDIA engineering and AI/ML teams. Manage distributed backend systems with high availability, integrate cloud and container technologies, evaluate technologies, and coordinate infrastructure deployments. The role also involves operational support, documentation, and collaboration across a matrixed organization.

Develop and optimize NVIDIA’s proprietary C++ GPU compiler backend. Responsibilities include designing compiler passes, improving code generation and machine instruction performance, supporting GPU architectures, and collaborating with compiler, hardware, and application teams. The role requires strong C++ and compiler code-generation expertise, with preferred experience in LLVM, instruction scheduling, register allocation, CUDA, DirectX, OpenGL, and Vulkan.

Design and implement verified, high-performance, power- and area-efficient RTL for ASICs, SoCs, and GPUs. Responsibilities include architecture and microarchitecture design, RTL synthesis, timing and logic verification, testbench development, debugging, and defining verification scope. The engineer will collaborate with distributed ASIC development teams and contribute to simulation, random-stimulus, functional coverage, and assertion-based verification activities.

Leads complex CPU silicon and platform programs from development through customer readiness. Coordinates architecture, engineering, firmware, validation, performance, operations, product, and customer-facing teams; manages dependencies, risks, decisions, requirements, schedules, and readiness criteria. Translates technical inputs into program plans and executive updates, maintains traceability for customer commitments, and improves execution through dashboards, automation, and operating mechanisms.