NVIDIA is hiring a Senior ML Compiler Engineer to design, implement, and optimize ML/DL compilers, build LLM inference kernels and attention runtimes, and collaborate with software and hardware teams. Requires a Bachelor’s degree (MS/PhD preferred), 6+ years experience in machine learning systems/compilers, strong Python and C/C++ skills, and experience with frameworks such as PyTorch/JAX. Base salary range listed: 184,000–287,500 USD per year.

NVIDIA seeks a Senior Software Engineer to lead rack-scale manufacturing and deployment workflows including firmware flashing, security provisioning, diagnostic and deployment tool design, and pre-silicon readiness using simulation and emulation. The role requires system architecture experience (8+ years), expertise at the SW/HW interface, networking protocols (e.g., Ethernet, InfiniBand), and familiarity with GPU/DPU/FPGA system software and management protocols such as Redfish and IPMI.

Work on end-to-end performance, scalability and reliability of the NVIDIA DGX Cloud software stack (Kubernetes control/data planes, GPU Operator, Network Operator, DCGM, NIM, and distributed inference). Develop automated tests, monitoring and CI/CD frameworks, triage and root-cause performance issues, and engage with upstream open-source communities. Minimum 2+ years' relevant experience; familiarity with public cloud providers and proficiency in Golang/Python.

Role on NVIDIA's GPU Communications Libraries and Networking team building and co-designing next-generation data center platforms and communications software (e.g., NCCL, NVSHMEM, UCX). Responsibilities include identifying performance bottlenecks, designing and implementing communication technologies, building proofs-of-concept, running experiments, and using simulation for large GPU clusters. Requires M.S./Ph.D. or equivalent experience, 12+ years relevant experience, strong C/C++, parallel programming and communication runtime experience, deep knowledge of system and network architecture, and strong Linux skills. Locations include multiple US offices and remote; posted salary ranges between 224,000 USD and 431,250 USD per year (depending on level).

Role to diagnose and resolve complex customer issues on NVIDIA DGX hardware and software stacks, perform Linux-level triage (RHEL/Ubuntu), interact with engineering/marketing/support teams, produce debugging outputs and knowledge-base material, and support datacenter, networking and containerization interoperability. Requires 5+ years of customer support/debugging experience, strong Linux and systems knowledge, excellent English communication, and experience with GPUs, containers, and datacenter technologies. Listed base salary range across levels: USD 108,000 - 207,000 per year.

NVIDIA seeks a Senior Systems Software Engineer to drive performance and scale characterization of the DGX Cloud stack (Kubernetes control/data planes and NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM). Responsibilities include designing and implementing performance/scale tests, developing monitoring and CI/CD frameworks, triage and root-cause analysis of large-scale distributed systems, and engaging with upstream open-source communities. The role requires 8+ years of relevant experience and expertise in Kubernetes, distributed accelerator-based systems, performance benchmarking/modeling, and proficiency in Golang or Python.

Responsible for evaluating and prioritizing external requests to share NVIDIA documentation, validating contracts and permissions, applying access policies, escalating exceptions, fulfilling approved requests, and maintaining records and auditability. Requires 8+ years in operations/program/sales/partner/document-control roles, strong policy judgment, cross-functional collaboration, and process improvement experience.

Lead product strategy for analytics in the agentic datacenter, connecting agent workflows, text-to-SQL, semantic context, query execution, and workload routing. Responsibilities include customer and partner engagement, defining success metrics (latency, throughput, cost, correctness, utilization), collaborating across Engineering/Research/Field teams, and presenting vision and progress. Requires 12+ years of relevant experience, technical proficiency with SQL, Python, databases and query engines, experience building agentic analytics or related data/AI infrastructure, and ability to prototype proofs of concept. Salary ranges provided in posting.

NVIDIA seeks a PhD student to develop novel architectures and system software for scalable multi-GPU platforms, analyze interactions among applications, OS, CPU and GPU, collaborate across hardware and software teams, and publish research. Requires current PhD enrollment in CE/CS/EE or similar, research experience in computer architecture/OS/compilers/HPC, expertise in GPU architecture and CUDA, and experience with cluster programming and performance analysis. Hourly intern pay listed as $30–$94.

Join as a Senior Network/Technical Support Engineer handling Tier 3 installs, support, and resolution of complex networking issues across data center, AI, storage and HPC environments. Responsibilities include troubleshooting network protocols and equipment (L2/L3, OSPF, BGP, EVPN, VXLAN, etc.), automation with Ansible, Linux scripting, customer site visits, and developing internal support processes. Requires a B.Sc. or equivalent and 5+ years of hardware/software customer support experience with strong communication skills.

NVIDIA seeks a Senior Solutions Architect to partner with universities and research labs on LLMs, VLMs, multimodal models, pretraining/post-training, inference studies, distributed GPU-accelerated training, and agent evaluation. Requires 8+ years in AI systems or research-scale generative AI workflows; travel up to 20%. Base salary range listed: 184,000–287,500 USD/year.

Remote Senior Solutions Architect on NVIDIA's Infrastructure Specialists team. Run and interpret microbenchmarks and workloads to validate HPC/AI systems; design and extend telemetry across hardware, fabric, and workloads; build automation (Python, Shell) and observability integrations (Prometheus, Grafana, Loki or similar); collaborate with hardware, software, networking, datacenter, and product teams. Requires 6+ years managing Linux-based systems in HPC or large AI/ML environments and hands-on multi-GPU/multi-node cluster and networking experience.

Senior Solutions Architect role partnering with universities and research institutes to architect and optimize HPC and AI solutions on NVIDIA accelerated platforms for computational physics, multiphysics simulation, engineering design exploration, and scientific foundation models. Requires 8+ years in accelerated computing/GPU and strong Python and C++ skills. Travel up to 20%. Salary range stated: 184,000–287,500 USD/year.

Work with ISVs, product, engineering, developer relations, and sales to identify use cases, run architecture reviews, build POCs, benchmarks and repeatable GTM assets (reference architectures, playbooks, demos). Requires 8+ years experience in machine learning/deep learning and data analytics, strong background in data platforms/distributed systems/databases, familiarity with Spark, Pandas, Polars, DuckDB, Trino/Presto, Velox, RAPIDS/cuDF/cuVS and related NVIDIA libraries. Travel up to 20%.

Senior role managing large-scale datacenter programs with cloud service providers and their ODMs/OEMs. Requires 8+ years of customer-facing program/project management experience. Responsibilities include technical direction for server builds (e.g., NVIDIA GB300 NVL72), operationalizing datacenter tools, resolving blockers, and communicating status and risks to senior leadership. Based in the US (remote).

NVIDIA seeks a Senior AI Compute Engineer to join the NVIDIA Infrastructure Specialists team to deploy, manage and maintain AI factory systems. Responsibilities include customer-facing planning and implementation, handover documentation, and providing feedback to internal teams. Requires 8+ years of data-center deployment/support experience, strong Linux administration, data-center networking and monitoring knowledge, and excellent English communication skills.

NVIDIA is hiring a Forward Deployed Architect to lead technical engagements with AI-native organizations, cloud providers, and ISVs—designing strategies for distributed training, large-scale inference, MLOps, and enabling new NVIDIA hardware. Requires a technical leader with hands-on troubleshooting and prototyping ability, a strong foundation in AI infrastructure technologies (especially Linux), and 12+ years of technical experience or 5+ years of specialist-level experience.

Join the Security Platform Engineering team to build and operate telemetry ingestion pipelines, normalize and enrich security data (endpoint, identity, network, cloud, email), and provide governed access via APIs, query layers, and streaming. Requires 6+ years building large-scale data pipelines in security or enterprise data environments and experience with platforms such as Databricks, Snowflake, Kafka, Spark, or similar, plus familiarity with normalization frameworks like OCSF or ECS.

Lead the reference architecture and adoption for governed agent actions (durable policies, runtime controls, credential mediation, detector response, audit correlation). Requires 15+ years in security architecture or related fields and experience with identity, policy, runtime isolation, threat modeling, and tools such as OPA/Rego, Cedar, and OAuth/OIDC.

NVIDIA is hiring a Senior Customer Technical Program Manager to manage schedules, deliverables, and cross-functional execution for key partners (including OEMs, CSPs, and system integrators). The role requires 8+ years of program/project management experience in IT, software, or embedded systems, a strong technical background in hardware/software product development, and experience leading global programs through full development lifecycles. Travel up to 10%.