Lead strategic relationships and technical collaborations with top researchers and labs in AI for chemistry and materials science. Drive NVIDIA platform adoption in universities and research labs through evangelism, events, teaching kits, and advising product teams. Requires a PhD or equivalent and 6+ years' relevant experience.

Join NVIDIA as a Senior Developer Relations Manager for Capital Markets (EMEA). The role leads developer advocacy and technical enablement for quants, traders, developers and partners—demonstrating NVIDIA AI/GPU solutions, advising on sample code and pipelines, mentoring technical teams, and influencing product roadmaps. Requires deep capital markets knowledge, strong technical and commercial experience, and a minimum of 8+ years' professional experience (with 5+ years in the designated ecosystem).

Responsible for end-to-end management of P-Rel production infrastructure from NPI to mass production delivery, coordinating capacity, risk assessment, maintenance, budgeting and process improvements across production sites. Requires B.Sc. in Industrial or Mechanical Engineering (or equivalent), a minimum of 5 years' experience, strong English communication, proficiency with Office/Excel/PowerPoint and familiarity with SAP/Agile and contract manufacturer environments.

Lead and manage 2–5 manufacturing engineers at the CM site in Chonburi to ensure optics manufacturing infrastructure readiness, capacity ramp, process development, training, and rapid response to production issues from NPI through Mass Production. Requires B.Sc. in a relevant field or equivalent, 8+ years technical experience in assembly/mechanical/electrical/manufacturing engineering and 3+ years in an engineering management role. Proficiency in English and experience with CM/supplier management, Lean, and problem-solving methodologies are stated requirements.

NVIDIA is hiring a Senior Formal Verification Engineer to verify AI-related ASIC builds using formal verification methods. Responsibilities include specifying properties with architecture/RTL teams, writing SVA, using industry formal tools (e.g., JasperGold, VC Formal), developing automated verification flows, articulating coverage, and supporting silicon bring-up. Requires BS/MS/PhD or equivalent in CS/CE/EE, 5+ years in ASIC verification (3+ years in formal), and strong communication skills. Hybrid US-based role; salary range stated between 136,000 USD - 264,500 USD depending on level and location.

NVIDIA Aerial team seeks a senior engineer to architect and implement a GPU ray-tracing engine that produces volumetric radio maps and millisecond‑cadence per-link multipath channel updates. Role requires a PhD (or equivalent), 8+ years relevant experience, hands‑on CUDA and GPU ray‑tracing framework experience (OptiX, Vulkan RT, Embree), proficiency with GPU-friendly spatial data structures (BVH, space-filling curves, hash maps), and working knowledge of electromagnetic propagation. Salary ranges provided (USD, annual).

NVIDIA is hiring a Senior AI Compiler Engineer in applied research to develop machine-learning-driven compiler solutions and low-level GPU code generation. Responsibilities include designing AI-based compilation technology, building SFT and RL training pipelines, prompt engineering for compilers, dataset preparation from compiler traces, benchmarking, and integrating learned policies into production toolchains. Requires MS/PhD or equivalent, 5+ years building AI/ML systems, strong Python and C++ skills, CUDA experience, reinforcement learning and fine-tuning experience. Locations include US (Austin, Redmond, Santa Clara) with remote options. Base salary range: 152,000–241,500 USD/year.

NVIDIA is hiring a Senior Solutions Architect to design and deploy agentic AI solutions for retail customers, focusing on multi-agent coordination, RAG retrieval pipelines, and GPU-accelerated inference. Requires BS/MS/PhD (or equivalent), 8+ years in deep learning/machine learning/distributed AI, and strong experience with Python, C/C++, Linux, PyTorch or TensorFlow. Listed base salary ranges (USD, annual) are 184,000–287,500 (Level 4) and 224,000–356,500 (Level 5); applications accepted through April 25, 2026.

The Developer Relations Manager will serve as a technical advisor and advocate to security companies building solutions for AI and Agentic environments, driving adoption of NVIDIA technologies through onboarding, integration, co-innovation, and developer enablement. The role requires strong technical experience in HPC, cloud, AI/ML and security, 8+ years overall experience (5+ years in AI/Agentic Security), and demonstrated success scaling developer programs and technical partnerships.

Role involves customer-facing architecture and advisory work for large-scale AI/HPC GPU infrastructure: assess infrastructure needs, design scalable solutions, lead implementations, optimize GPU and networking performance, establish monitoring/automation, and support business growth. Requires 10+ years in large-scale data center service operations and hands-on NVIDIA GPU experience. Up to 25% travel.

NVIDIA is hiring CPU Design Engineers (new college grads) to drive micro-architecture definition, implement RTL (Verilog/SystemVerilog), and collaborate on physical design, timing closure, power and back-end verification. Requires BS/MS in EE or CE (or equivalent), exposure to computer architecture and digital systems, and scripting experience (Python/Perl).

Join NVIDIA as a Solutions Architect focused on supercomputing and AI/HPC workloads. The role involves partnering with customers, partners, and internal teams to design and deliver GPU-accelerated solutions, creating technical collateral, and providing hands-on engineering support. Requires 5+ years of relevant experience, familiarity with GPUs/CUDA, containers and schedulers (Kubernetes, Docker, Slurm), networking, and experience with modern generative and agentic AI architectures. U.S. citizenship and a security clearance are required.

NVIDIA seeks a Solutions Architect to integrate NVIDIA software and tools with OEM partners, build GPU-accelerated pipelines for multi-TB/PB datasets, develop proofs-of-concept, and translate AI/cybersecurity research into deployable architectures. Requires 5+ years of relevant experience, strong software and pipeline development skills (Python, C/C++, Bash, Linux), and expertise in machine learning, distributed computing, and AI security.

NVIDIA is hiring an experienced Solutions Architect to lead Federal technical strategy and OEM integrations for large-scale Generative AI deployments (AI Factory). The role requires deep data center and GPU/accelerator expertise, hands-on experience with NVIDIA software (NIM, NeMo, Dynamo, TensorRT-LLM), orchestration tools (Kubernetes/Slurm), and at least 10+ years of professional experience with 7+ years supporting U.S. Federal missions. Applicants must be U.S. citizens.

Member of NVIDIA's NVHPC compilers & tools group analyzing HPC applications (CPU/GPU/many-core) across single-node and distributed systems to provide performance analysis and tuning guidance. Work includes profiling, identifying optimizations for compiler and application teams, and assisting customers with GPU acceleration. Requires BS/MS or equivalent, 8+ years programming experience, strong Fortran/C/C++ skills, experience with OpenACC/OpenMP/MPI/CUDA, numerical methods and linear algebra. Base salary range: 184,000–287,500 USD/year.

NVIDIA is hiring a Senior Software Engineer to design and implement JAX core components and drive performance on NVIDIA hardware. Responsibilities include collaborating with applied researchers, building developer tools, and bridging numerical computing and deep learning research to products. Requirements include a BS or equivalent, 6+ years relevant experience, strong C/C++ and Python programming, knowledge of ML frameworks (e.g., PyTorch, TensorFlow), familiarity with CPU/GPU architectures and numeric libraries, and strong system/software design and communication skills. Poland-specific base salary ranges are provided in the posting.

Member of NVIDIA's NVHPC compilers & tools group responsible for running and analyzing HPC applications on heterogeneous systems (CPUs, GPUs, many-core), identifying optimization opportunities for compiler and applications teams, assisting customers with GPU acceleration, and providing performance analysis and tuning.

Work with game developers and NVIDIA architecture/driver teams to develop engines, libraries and samples, optimize performance and implement advanced 3D graphics and rendering techniques. Requires 5+ years relevant experience and expertise with GPU technologies, AI inferencing workloads, Unreal Engine and Unity.

Develop and maintain continuous development systems and CI/CD infrastructure for NVIDIA's deep learning frameworks (PyTorch). Responsibilities include build/release management on Linux, cloud-hosted developer environments, debugging across the software stack, and improving developer productivity for large-scale distributed systems. Requires proficiency in C++ and/or Python and 5+ years of relevant experience.

Role to work with NVIDIA partners (NPN, OEM, solution providers) across DACH and CEE to enable and support accelerated computing solutions including AI/ML, hybrid multi-cloud, virtualization and simulation. Responsibilities include partner enablement, hands-on workshops, pre-sales support, demos, proofs of concept and collaboration with partner managers and engineering. Requires 5+ years in partner-facing technical roles, strong communication and presentation skills, and familiarity with AI stacks, infrastructure components and NVIDIA frameworks.