Role to research, prototype, and optimize deep learning systems at the intersection of high-level frameworks and low-level CUDA, including custom kernel development, distributed cluster-scale design, and profiling. Requires a BS/MS/PhD (or equivalent), 8+ years relevant experience, and proven skills in C++, Python, CUDA, kernel optimization, distributed computing, and deep learning (transformers). Base salary ranges provided (USD, annual).

Lead go-to-market launches and create technical marketing content (white papers, presentations, blogs, demos, customer stories) for NVIDIA's quantum computing hardware and software. Requires 6+ years in technical product marketing or product management; familiarity with quantum computing and HPC/data-center marketing preferred. US remote role with base salary ranges of 152,000–230,000 USD (Level 4) and 184,000–287,500 USD (Level 5).

NVIDIA seeks a Developer Advocate focused on reinforcement learning and LLM post-training pipelines to build demos, write developer-facing content, collaborate on product launches, and engage developers via events and online channels. Requires 5+ years relevant experience (including 3 years engineering), experience with RL libraries and AI frameworks such as PyTorch, JAX, and NeMo-RL. Salary ranges provided for different levels (USD 152,000–241,500 for Level 3; USD 184,000–287,500 for Level 4).

NVIDIA seeks a Senior Full Stack Software Engineer on the DGX Cloud team to design, develop, and operate massively distributed platforms for large GPU clusters. Responsibilities include cluster and node health monitoring, GPU resource scheduling, incident management, and working across a stack that includes React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, and Kubernetes. Requirements listed include 12+ years in a similar role, 6+ years full-stack engineering, 3+ years shipping consumer-facing products, a BS in Computer Science or equivalent, and proficiency with the listed technologies. Base salary range provided: 224,000 USD - 356,500 USD per year.

Lead architectural vision and operationalization of an enterprise compute platform and internal AI inference systems (rack-scale GPU hardware). Responsibilities include designing platform service tiers and SLAs, automated cluster lifecycles, remediation pipelines and telemetry, capacity planning, migrations of legacy workloads into Kubernetes, and building self-service APIs/Terraform providers. Requires 15+ years experience with large-scale compute/platform engineering, Kubernetes, virtualization, GPUs, IaC (Terraform/OpenTofu), and programming in Go and/or Python.

Lead development of NOC performance and functional models using AI technologies, define features for GPU memory and interconnect subsystems, analyze benchmarks and simulation/emulation results to identify optimizations, and collaborate with engineering teams. Requires Bachelor's or equivalent, 15+ years relevant experience, strong performance modeling and large-scale software development experience, proficiency in C/C++ and Python, and deep GPU architecture and memory/interconnect expertise.

NVIDIA seeks a Principal Software Engineer for DGX Cloud to build and operate production GPU clusters for AI workloads. Responsibilities include Kubernetes-based GPU resource scheduling, operator development, node health monitoring, telemetry and diagnostics ingestion, incident management, and improving reliability and performance of large-scale systems. Requires strong software engineering experience (15+ years), proficiency in Go or Python, and deep knowledge of distributed systems and cluster management.

Role involves 24/7 shift rotations to remediate alerts and production-impacting network incidents, engage vendors, perform network upgrades and capacity work, and drive operational improvements. Required skills include TCP/IP and routing/protocols (BGP, OSPF, MPLS, IS-IS), overlay technologies (VxLAN, EVPN), security (IPsec, MACsec), peering and DCI technologies, experience with CSPs (AWS/Azure/GCP/OCI), multi-vendor hardware (Arista, Juniper, Fortinet), monitoring/automation tooling, and strong incident and change management experience.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

Role involves designing and building distributed, scalable Go programs, Kubernetes integrations, user-space applications, containers, CLI tools, and telemetry/monitoring for GPU management across HPC, cloud, and enterprise. Requires BS or equivalent, 5+ years industry experience, strong Go and Kubernetes experience, Linux user-space development and debugging, API/interface design, and experience with distributed systems and enterprise software.

Lead a distributed team responsible for CPU bootloader firmware from reset to OS hand-off for NVIDIA data center CPUs. Partner with CPU architecture and design teams, drive delivery and quality, foster CI/CD and automated testing, adopt AI-assisted tooling, and grow engineers. Requires 10+ years firmware/systems experience and 3+ years engineering management experience; strong C/C++ and ARM boot/secure-boot knowledge.

Join NVIDIA's DGX Cloud Lepton team to design, build, and maintain scalable AI infrastructure and tooling for large-scale training, inference, fine-tuning, and Agentic AI. Requires 8+ years building software infrastructure for large-scale AI systems, strong debugging and root-cause analysis skills, experience with distributed systems, Kubernetes, observability (e.g., ELK, Prometheus, Loki), and proficiency in Python and C/C++.

Global role to lead strategic relationships, evangelize NVIDIA BioNeMo, build a developer and adopter community, host events (meetups, hackathons, conferences), and inform product and go-to-market strategy. Requires a Master's/PhD or equivalent in a life-sciences field, 8+ years in scientific computing and ML for life sciences, and 4+ years working with developers or managing strategic partnerships; strong expertise in computational drug discovery, HPC, and ML/AI (GPU/CUDA experience a plus).

Lead lifecycle and delivery of NVIDIA DRIVE software (including DRIVE OS, NDAS, Alpamayo) with Korean automotive partners. Coordinate cross-functional teams across South Korea, India, China, and the U.S., manage requirements and escalations, prioritize and track issues/bugs, and drive verification toward series production. Requires 6+ years in automotive software development, familiarity with ADAS/AV, embedded software and relevant standards, and fluency in Korean.

Lead developer relations efforts for NVIDIA Metropolis to engage developers, ISVs, and enterprise partners on video analytics, perception, and AI agent use cases. Provide hands-on technical leadership integrating CNNs with Vision-Language Models, partner with engineering/product/marketing teams, and lead thought leadership and go-to-market strategies. Requires 8+ years in technical roles bridging innovation, strategy, and relationship management, deep expertise in computer vision and VLMs, and experience engaging executive collaborators; Bachelor's degree or equivalent (advanced degree preferred).

Join NVIDIA to develop and install power systems for AI Factories. Responsibilities include requirements gathering, adapting electrical reference builds, site evaluations through turnover, contractor selection, bid and submittal reviews, commissioning support, and lifecycle/process standardization. Requires BS/MS in Electrical Engineering (PE license or equivalent), 12+ years data center build/construction experience, and deep expertise in power distribution, commissioning, short circuit/arc flash studies, and cooling/power infrastructure.

Join NVIDIA's DSX organization to design and build scalable software systems for DGX Cloud services. Responsibilities include developing services and APIs, automating network and host management, participating in operational responses, contributing to open-source, and presenting to stakeholders. Requires 8+ years building distributed systems and proficiency in systems programming languages (C/C++/Golang/Rust) and SRE/observability practices.

NVIDIA Federal seeks a Senior Solution Architect to lead design, deployment, and support of large-scale GPU infrastructure for US Federal customers. Responsibilities include guiding network and compute/storage design, cluster bring-up, performance debugging, delivering technical content (presentations, workshops, reference architectures), and partnering with product, engineering, and account teams. Requires U.S. citizenship, ~6+ years in solution/sales/cloud engineering, and expertise in HPC, GPU acceleration, and high-performance networking. Base salary range listed: 184,000–356,500 USD/year. Travel approximately 20%.

NVIDIA Federal seeks a Senior Solutions Architect to work with government customers, partners, and engineering to design, deploy, and troubleshoot large data center networking and GPU-accelerated HPC clusters. The role involves customer-facing technical leadership, cluster bring-up, performance debugging, preparing technical content, and ~20% travel. U.S. citizenship is required.

Hands-on role architecting and scaling high-performance distributed AI infrastructure (on-prem and cloud) using NVIDIA GPUs and networking. Responsibilities include supporting sales to secure design wins, providing onsite technical support, analyzing deployment data/logs, developing hardware/software demos and system designs, and delivering technical training. Requires BS/MS/PhD or equivalent, 4+ years in high-tech electronics (system design or technical customer support), strong debugging and analytical skills, and excellent English communication.