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.

Full-time Product Security Architect at Replit responsible for defining and enforcing secure product architecture, leading security implementation of features, conducting threat modeling, specifying authentication/authorization (mTLS/OIDC/OAuth/SAML), performing code reviews (Python/Go/JavaScript), and maintaining the authoritative secure architecture documentation. Requires 8+ years of product security engineering/architecture experience with multi-tenant SaaS.

Lead technical authority in a Commercial AI Center of Excellence to design and evolve shared AI services, agentic frameworks, and paved-road patterns. Requires 15+ years in AI/ML software engineering, deep expertise in distributed/cloud-native systems, hands-on production LLM and RAG experience, and strong Azure/cloud platform knowledge; responsible for architecture, standards, performance/cost optimization, and cross-team technical influence in regulated SaaS environments.

The role partners with account and sales teams to architect end-to-end solutions, drive adoption of Stripe products, expand footprint in accounts, and act as a trusted advisor to C-level and technical stakeholders. Requires 7+ years in a customer-facing engineering/solutions role, 5+ years pre-sales experience, payments/fintech exposure, strong API and SDLC knowledge, and ~25% travel.

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.

Customer-facing senior technologist owning technical sales from discovery through post-sales, designing Cloudera-based solutions, demonstrating products, partnering with account teams, and advocating customer needs to product and engineering. Requires minimum 8 years customer-facing experience and familiarity with big data, cloud providers (AWS/Azure/GCP), data engineering/data science/MLOps, security and governance, and Unix/Linux.

Customer-facing role partnering with sales to onboard customers, drive Falcon Flex adoption and consumption, deliver EQBRs and ROI/value analyses, mitigate churn, and enable cross-sell/upsell across large enterprise accounts. Requires minimum 8+ years' relevant experience. US-based role with a stated base salary range of $135,000–$205,000 per year for U.S. candidates.

Seeking a Developer Relations Manager (manager level) to act as a technical advisor to research labs in life sciences, drive adoption of NVIDIA frameworks and platforms, map research ecosystems, and collaborate with internal teams. Requires a PhD or equivalent research experience and 3+ years of relevant experience applying AI to life-science domains (protein design, genomics, structural biology, etc.).

Client-facing role responsible for architecting end-to-end, secure, scalable GenAI solutions on Gemini Enterprise, including multi-agent workflows, RAG-based data grounding, and security/governance. Requires 6+ years in solutions/cloud architecture or senior technical consulting with deep hands-on experience in Gemini, Google Workspace integrations, BigQuery, LLMs, prompt engineering, and Python.

Define and guide security architecture across public and private cloud and datacenter environments to protect AI/GPU workloads. Responsibilities include cloud-native security, network segmentation, confidential computing, zero-trust and workload identity, container/Kubernetes security, and technical leadership of security architects and engineers.

Lead developer relations efforts for capital markets by engaging quants, traders, developers, and partners to drive adoption of NVIDIA GPU-accelerated software (CUDA, CUDA-X, AI frameworks). Requires deep technical expertise in capital markets workflows, HPC/AI performance optimization, and 12+ years of professional experience (with 8+ years in capital markets or quantitative finance). Responsibilities include technical advisory, partner onboarding, benchmarking, community building, and influencing product roadmaps.

The role partners with Enterprise Sales and Solutions Engineering to scope and design complex implementations, create and negotiate Statements of Work, and ensure a smooth handoff to post-sales teams. Requires 5+ years in Enterprise SaaS (solutions consulting, professional services, or management consulting) and focuses on improving win rates, accelerating time-to-value, and driving long-term customer outcomes.

Lead implementations and drive adoption of Chainguard Images as part of Professional Services within Customer Success. Partner with account teams and product/engineering to deliver high-quality image builds, document and test onboarding, and share best practices. Requires strong Kubernetes and containers experience, significant software development background (8+ years), and at least 4+ years in a post-sales/customer-facing role. Located in the US Eastern Time Zone; travel up to 15%.

Senior Solutions Architect responsible for guiding customers on NVIDIA hardware/software for AI and professional graphics workflows. Requires 8+ years software development experience (Python, C/C++), deep learning/CUDA knowledge, familiarity with graphics APIs and GPU architectures, strong Windows/Linux skills, and willingness to travel to customer sites and NVIDIA HQ (Santa Clara, CA).

Lead Armada’s integration architecture and cross-functional systems coordination: map data structures and flows, manage integration sequencing, steward orphan G&A systems (Finance/ERP, HRIS, CLM), implement automation and AI-assisted workflows, define governance and compliance controls, and partner with stakeholders to ensure reliable reporting and scalable integrations. Remote-based on the continental United States; requires 10+ years in business systems/enterprise applications.

Veeva is hiring a Senior Technical Architect for the Patient CRM team to design, document, and execute integrations (APIs, middleware, batch) between Patient CRM and external entities (hubs, specialty pharmacies, data aggregators). The customer-facing, remote role requires 7+ years of technical consulting/architecture experience in life sciences, strong integration and data-mapping skills, and experience with the Vault platform. Position may involve up to 25% travel. Salary range listed: $80,000–$200,000 (base).

Customer-facing Senior Technical Architect role on Veeva's Patient CRM team. Responsible for leading technical discovery, designing end-to-end integrations (APIs, middleware, batch), ensuring data integrity/security, supporting pre-sales, mentoring junior consultants, and collaborating with product teams. Remote role, up to 25% travel, requires 7+ years of technical consulting/architecture experience in life sciences. Base salary range $80,000–$200,000.

Customer-facing role responsible for leading technical discovery, designing end-to-end integration flows (APIs, middleware, batch), documenting architectures, and executing technical builds for Patient CRM implementations. Requires 7+ years technical consulting/architecture experience, deep life sciences domain knowledge, expertise in modern integration approaches, and up to ~25% travel.

Responsible for owning technical strategy for enterprise customers post-sale, running architecture reviews and workshops, guiding integrations and system design, supporting complex deployments, and partnering with account management, product, and engineering to drive retention, adoption, and expansion. Requires 5+ years in solutions architecture, sales engineering, technical consulting, or similar experience.