Role to investigate and improve GPU-to-GPU and node-to-node communication performance, design and implement communication technologies, co-design HW/SW with GPU and networking architects, build proofs-of-concept, run experiments and simulations at large GPU scales. Requirements: M.S./Ph.D. (or equivalent), 3+ years relevant experience, excellent C/C++ programming and debugging, experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), strong Linux skills, and solid understanding of system and network architecture. Desirable: CUDA/NVIDIA GPU experience, knowledge of InfiniBand/RoCE/NVLink, deep learning frameworks (PyTorch, TensorFlow) and HPC application experience.

Hands-on Senior GenAI Engagement Lead responsible for deep technical integration of NVIDIA GenAI offerings with strategic ISV and CSP partners. Requires 8+ years in technical product or engineering roles, advanced degree or equivalent, and strong hands-on experience with RAG, multi-agent architectures, production LLM deployments, NVIDIA libraries (NeMo, Triton, TensorRT), vLLM, LangChain, vector DBs, and cloud deployments across AWS/Azure/GCP. Will define technical objectives, build reference architectures and prototypes, and work closely with Product, Engineering, Research, and Partner teams. Posted location: US (Santa Clara) with remote/hybrid indications. Salary ranges provided in posting.

NVIDIA seeks a Solutions Architect for its AI Software Segment to develop end-to-end AI solutions, support LLMs and multimodal models, and guide customers through data processing, training, evaluation, RL, and model optimization. Requires 5+ years with AI frameworks (PyTorch, JAX, TensorFlow), Python, Linux, experience with distributed training tools (Kubernetes, SLURM), and expertise in GPU-based model training. Location noted as US (remote) and Santa Clara; salary range stated.

Seeking a Solutions Architect for NVIDIA's Agentic AI team to design and implement agentic AI applications at scale using techniques such as reinforcement learning, inference optimization, and model fine-tuning. Requires 5+ years experience in deep learning/machine learning, strong software engineering skills (Python, C/C++, Linux), experience with GPUs and frameworks like TensorFlow or PyTorch, and familiarity with multi-agent libraries and production deployment patterns (Kubernetes/OpenShift, CI/CD).

Role to communicate NVIDIA GPU architecture and rack-scale system designs (including NVL72, NVLink switching, power delivery, and liquid cooling) to hyperscalers, OEMs, and system operators. Requires translating complex system design into technical content (blogs, whitepapers, presentations) and engaging customers on design challenges and ROI; 7+ years experience requested.

Drive NVIDIA's technical marketing for AI Factory scale-out architectures by evangelizing SpectrumX Ethernet, Quantum-X InfiniBand, ConnectX NICs, BlueField DPUs, and SuperPOD designs. Engage customers, CSPs, and analysts on large-scale datacenter networking, perform TCO/ROI analyses, and address high-density power, cabling, and thermal scaling challenges. Requires BS/MS or equivalent and 7+ years in AI data center networking, technical marketing, or solutions architecture.

Technical Product Integration Lead responsible for designing and delivering GenAI integrations (RAG, LLM inference, multi-agent workflows) with enterprise ISV/CSP partners. Role requires hands-on development of reference architectures using NVIDIA libraries and frameworks, collaboration with partner platform architects and internal Product/Engineering teams, and influencing product roadmap based on large-scale partner engagements. Minimum 8 years' experience; salary range provided (USD/year).

NVIDIA seeks a Senior Software Architect for an applied research team building systems-level software to move data between GPUs, nodes, and storage. The role requires 12+ years in systems software and/or networking, expertise in RDMA/InfiniBand/GPUDirect/NVLink, strong C++/Rust skills, and experience with ML system concepts and inference frameworks. Responsibilities include architecting communication libraries, profiling and optimizing data movement, integrating networking into AI stacks, and contributing to open-source projects.

Seeking a highly technical Developer Relations Manager to act as a trusted advisor to Global Systems Integrators and partners, driving adoption of NVIDIA AI/GPU platforms through technical enablement, integrations, and developer programs. Requires 12+ years in technology with strong experience in developer relations, technical partnerships, high-performance computing, cloud and AI/ML; hands-on experience with GPU/AI stacks (e.g., CUDA, Triton, NeMo, DOCA) is highlighted.

Role to partner with NVIDIA engineering, product, and sales to drive design wins in banking and consumer finance by performing proofs-of-concept, profiling and optimizing ML/DL models on NVIDIA GPUs, and building industry-specific collateral. Requires 12+ years as an ML/Software Engineer, BS/MS/PhD or equivalent experience, strong coding in Python and C++, and experience with ML/DL frameworks (TensorFlow, JAX, PyTorch, Spark, Dask). Base salary range stated: 224,000 USD - 356,500 USD per year.

Netguru seeks a freelance Azure Cloud Architect to design and implement cloud-native solutions on Microsoft Azure (including AKS, Functions, SQL, Cosmos DB, API Management), build CI/CD pipelines, establish monitoring with Azure Monitor/Prometheus/Grafana, and ensure security and cost-efficient scalable architecture. Role is full-time remote (CET working hours), start ASAP, ends 21/12/2026 with extension option.

Senior Solutions Architect role supporting customers (OEMs, Tier-1, startups) to design, prototype, and deliver Mapbox-based mapping, mobility, and location solutions. Responsibilities include technical discovery, architecture design using Mapbox SDKs/APIs, RFI/RFQ responses, PoC/demos/workshops, and driving customer adoption. Requires 5+ years in solutions architecture or consulting, fluency in Korean and English, and residency in Japan or South Korea. Willingness to travel up to 25%.

Lead presales engagements to design scalable, outcome-driven ClickUp solutions that embed AI and AI Agents into workflows. Responsibilities include discovery workshops, mapping integrations and data dependencies, designing and validating workflows/automations/agents, building prototypes and demos, quantifying value, and authoring Statements of Work. Requires a technical degree or equivalent and 6+ years of relevant experience.

AE Studio seeks a Product Lead to run complex AI projects across generative AI, automation, agent orchestration, and custom software. The role is hybrid (LA office / US remote), involves client-facing advisory work with senior stakeholders, hands-on prototyping and shipping, and opportunities to lead or spin out ventures. Requires proven product leadership and fluency with modern AI stacks.

Lead a distributed Field Engineering team designing, deploying and handing over cloud and on-premise open source solutions (Kubernetes, OpenStack, Ceph, Kubeflow, Spark, PostgreSQL, etc.). Responsibilities include line management, coaching and mentoring, technical presales, representing the team to stakeholders, driving engineering practices and delivering projects; role is home-based worldwide and may require up to 25% travel.

Canonical is hiring a Solutions Architect for Automotive to support partners and prospects in adopting Ubuntu and related open source technologies. Responsibilities include engaging customers during presales, delivering embedded Linux demos and PoCs, liaising with internal experts to build solutions, and conveying market requirements. Requires extensive Linux and embedded experience (Yocto/RTOS), programming/scripting (Golang, Python, C, C++, or Rust), strong communication and customer-facing skills, and willingness to travel up to 30%.

Canonical seeks a senior software architect/engineer to lead architecture, design and evolution of LXD and MicroCloud. The role involves hands-on development in Go and C, code review, ensuring security and performance, mentoring colleagues, and providing technical leadership across containerisation, virtualization, networking, storage and distributed systems. Home-based in EMEA or the Americas with approximately biannual company events requiring travel.

Canonical seeks an MLOps Field Engineer to work remotely worldwide, designing ML architectures and deploying AI/ML infrastructures and data pipelines using Ubuntu, Kubernetes, Kubeflow, MLflow, Feast, DVC and cloud platforms (AWS, Azure, GCP). The role is customer-facing, involves hands-on deployment, architecture, Python-based operator and IaC work, collaboration with sales and product teams, and up to ~30% global travel.

Remote manager role (Americas) responsible for leading and developing Field Engineers across presales and professional services, solving customer problems with Canonical's Ubuntu/embedded Linux solutions, and driving disciplined engineering and organisational practices. Requires strong embedded Linux and firmware experience, proficiency in at least one of Golang, Python, C, C++ or Rust, experience managing a small team, and professional English communication.

The role owns the holistic technical vision and roadmap for Canonical's internal cloud and IT infrastructure, leading and coaching SREs and data center engineers on automation, reliability, scalability, networking and security. Responsibilities include designing hardware/software implementations (from PCI lanes to CDN), collaborating with cloud-ops teams, defining self‑service solutions, performing incident analysis and establishing operational practices across a global distributed environment. The position is home-based in EMEA with approximately four weeks' travel per year.