Join NVIDIA's Partner Network as a Senior Solutions Architect to guide partners in adopting end-to-end AI and HPC solutions using NVIDIA compute, networking, and software stacks. The role requires 12+ years of experience with cluster management and tools such as Docker, Slurm, Kubernetes, and Ansible, plus hands-on experience with networking, storage, and GPU-based workloads.

Lead and manage a team of infrastructure/HPC specialists advising partners on design, deployment, and bring-up of large-scale AI/HPC projects and NVIDIA reference architectures. Requires 8+ years overall experience, 4+ years leading teams, strong software (Python/C++) and data center infrastructure knowledge, familiarity with deep learning/LLM training tools, and English communication skills. Base salary range: 224,000–356,500 USD/year.

Forward-deployed technical role within NVIDIA's Partner Network to plan, deploy, manage and validate AI Compute/HPC systems for customers and partners. Requires 8+ years of deployment/support experience, Linux administration, scripting (Bash/Python/Ansible), schedulers (e.g., SLURM), benchmarking (HPL, NCCL, MLPerf), Kubernetes, and travel within the United States (up to 30%). Salary ranges provided for levels 4 and 5.

Lead technical subject-matter expert responsible for designing developer tools, APIs, and workflows for chemistry and materials science, translating ML and simulation research into production software, prioritizing features across teams, and representing NVIDIA at scientific venues. Requires a PhD or equivalent, 8+ years building AI/ML software for chemistry or materials applications, strong GPU and ML framework experience, and deep knowledge of interatomic potentials, generative modeling, and quantum chemistry workflows.

Join NVIDIA's Solution Architects team to integrate and optimize large-scale AI/HPC deployments for strategic customers. The role requires 10+ years of experience with large-scale hybrid networks and compute clusters, strong programming skills (C/C++/Python), expertise in GPU/CPU architectures, CUDA, networking technologies (DPU, RoCE, InfiniBand), Linux and kernel drivers, and performance benchmarking and debugging.

Gremlin seeks a Solutions Architect for a pre- and post-sales role to demonstrate the Gremlin Reliability Platform, lead proofs-of-concept, consult on resilient architectures, and assist customers with technical projects and troubleshooting. Requires 5+ years as a Solutions Architect and hands-on experience with Kubernetes, Linux, containers, cloud providers (AWS/Azure/GCP), observability, CI/CD, and related DevOps/SRE practices.

Individual contributor responsible for executing customer technical engagements to advance adoption of Red Hat products, including environment and application reviews, solution design and prototyping, product demonstrations, and addressing technical adoption blockers. Requires hands-on experience with automation/DevOps tools (Ansible, CI tools, Git, Python), container/Kubernetes deployments, cloud platforms (AWS/Azure/GCP/IBM Cloud), Linux workloads, networking, and security.

Customer-facing Solutions Architect position supporting adoption of NVIDIA GPU and networking platforms across HPC, ML/AI, and supercomputing workloads. Requires 8+ years of relevant experience, expertise with GPU/parallel computing, container and cluster tooling (Slurm, Docker, Kubernetes), experience with Generative/Agentic AI, and U.S. citizenship (security clearance required). Some travel is required.

CrowdStrike is hiring a Senior Cloud Security Architect to serve as the technical authority for its Google Cloud Platform environment. Responsibilities include architecting GCP security (IAM, Organization Policy, VPC Service Controls, Shared VPC), providing multi-cloud oversight (AWS/OCI), building "golden path" security patterns, integrating security into Jenkins-based CI/CD pipelines, and conducting threat models for cloud-native applications. Preferred technical expertise includes hands-on GCP security (Workload Identity, Cloud Armor, KMS), CI/CD/Jenkins, CSPM, API security, vulnerability scanning, automation (Python/Go/Bash), and Terraform/Infracost. Base salary range for U.S. candidates is $125,000–$180,000 per year.

Lead technical engagements with advanced AI partners to define, prototype, and productionize generative AI, LLM, agentic, and multimodal systems. Requires 8+ years in AI/ML engineering with expertise in RAG, fine-tuning, GPU-optimized inference, MLOps, observability, and responsible AI; experience with NVIDIA software (Triton, TensorRT, CUDA, NeMo) and enterprise prototyping is emphasized.

Lead Azure Cloud Architect role responsible for enterprise cloud architecture, governance, and technical leadership in a federal environment. Requires 6+ years designing and implementing Azure architectures, IaC (Terraform, ARM), CI/CD tooling, containerization (Kubernetes/AKS), and experience with Azure identity, networking, and monitoring. U.S. citizenship and current or prior Public Trust required. Salary range listed at $150,000–$170,000/year.

NVIDIA seeks a Senior Solutions Architect to advise customers on Generative AI and LLM inference deployments, build proofs-of-concept, and analyze performance and power efficiency of AI inference workloads on GPUs and Kubernetes. Requires 8+ years experience with Deep Learning frameworks (PyTorch/TensorFlow), strong Python and GPU orchestration skills (including MIG), and familiarity with containerization, observability, and inference optimization. Role includes cross-functional collaboration and ~20% travel.

Lead technical partner for enterprise customers using Databolt, responsible for incident response (P1/P2), post-live operations, zero-downtime upgrades, performance monitoring, and pre-live readiness including Kubernetes/EKS validation and secure delivery to air-gapped systems. Requires minimum 7 years' relevant experience and deep knowledge of AWS, security/networking (mTLS, JWT, OAuth, DLP), IaC (Terraform/CloudFormation), enterprise data platforms (Snowflake, Databricks), and programming experience (Java, Python, Go, PySpark).

Very Big Things (engaged via Bitovi for initial interviews) seeks a Lead AI Engineer to architect and implement a core workflow automation platform, make stack and architecture decisions, and deploy/customize solutions for enterprise customers. Requires 7+ years building production software, 2+ years with generative AI in products, expertise in TypeScript/JavaScript and modern stacks, experience with data layers and cloud/DevOps, and strong client-facing and leadership skills.

Lead technical architect responsible for enterprise-scale migrations from Microsoft 365/Exchange to Google Workspace, designing AI-driven automation and agent solutions (Google Apps Script, AppSheet, Vertex AI) and advising clients during pre-sales. Requires 6+ years' experience, hands-on migration and GCP expertise, and willingness to travel up to 25%.

The Senior Customer Solutions Engineer (AMER) drives end-to-end technical outcomes from solution design and Galleon workload activation through long-term adoption and expansion in industrial environments (energy, mining, public sector). Requires 8+ years in solutions/field engineering with OT/IT integration experience, hands-on edge deployment skills (containerized workloads, Kubernetes, GPU), and ability to operate across hardware, networking, storage and security under North American regulatory expectations.

NVIDIA seeks a hands-on Director to define the technical vision and build a Retail & CPG industry platform using NVIDIA stack (NeMo, Nemotron, NIM, RAPIDS, cuOpt, etc.). The role requires 15+ years experience, 7+ years managing teams, strong developer expertise in AI agents, LLMs, RAG, data pipelines, distributed systems and GPU-accelerated solutions, and responsibility for delivering production-ready, performant, and reliable platform components while working with product, solution engineers, and partners.

Veeva seeks a Process Architect to lead digitalization of validation (CSV/CQV) processes by mapping legacy documents into structured Veeva Validation Management data, developing migration tooling, executing bulk data loads, and advising customers on best practices. Requires 5+ years in life sciences validation, experience in customer-facing consulting, and knowledge of industry standards such as ASTM E2500, ISPE Baseline Guides, and Annex 15.

The role embeds within strategic clients to design, build, and ship production-grade solutions (Python, advanced SQL, data pipelines, REST APIs) and act as the primary technical authority. Requires 5+ years in a client-facing technical role. Desired experience includes cloud (AWS/GCP/Azure), containerization (Docker/Kubernetes), modern data stack (Snowflake/Databricks), orchestration (Airflow/Prefect), graph technologies (Neo4j/TigerGraph), and practical use of LLMs/ML/NLP. Up to 30% travel. Target base salary $160,000–$180,000 plus commission and equity.

Role to design and deploy agentic AI finance platform and production automation (reconciliations, close, audit prep, treasury monitoring, reporting) while ensuring SOX-compliant controls, auditability, and governance. Hands-on building with Python, LLM APIs (Claude/Anthropic), workflow engines (n8n or equivalent), and agent coordination layers (MCP or similar). Involves discovery, architecture, integration with finance systems (NetSuite, BlackLine, Kyriba, Fireblocks, Lukka), training finance users, and measuring operational impact.