Top Artificial Intelligence Jobs

Own and extend NVIDIA’s production linear programming supply chain optimization model. Formulate constraints and objectives, analyze dual variables and sensitivities, maintain data integrity, and translate semiconductor supply-chain realities into mathematical models. Partner with procurement, operations, engineering, and leadership to evaluate constraints, scenarios, sourcing, capacity, and planning decisions. Evolve the optimization architecture and explore AI, machine learning, GPU acceleration, and cuOpt enhancements.

Leads NVIDIA’s US Medtech Account Managers and drives enterprise sales growth across named manufacturing accounts. Responsibilities include demand generation, forecasting, executive relationship development, channel and partner collaboration, revenue target attainment, and coordination with internal teams to address customer needs. The role focuses on selling NVIDIA hardware and software for AI and accelerated computing in healthcare and medtech markets.

Leads data ownership and governance for data products, defining metadata, quality, controls, integration, and risk mitigation. Partners with business, analytics, technology, and engineering teams to deliver curated datasets and production-ready solutions. Uses advanced SQL for validation and root-cause analysis, manages workstreams and staff, and supports analytics and machine learning use cases. Applies AI and LLM tooling to automate governance activities and maintains data integrity across regulated environments.

Leads marketing data and analytics initiatives that improve audience targeting, campaign execution, measurement, and operational reliability. Translates business objectives into technical requirements, designs data and audience management approaches, develops quality monitoring and reporting, manages issue resolution, and partners with Product and Technology on platform enhancements. The role also identifies responsible AI applications, establishes governance and controls, and supports measurable, repeatable delivery across digital marketing channels.

Supports clients through complex business and technology transformations by developing change strategies, conducting stakeholder and readiness assessments, creating communications and training, facilitating workshops, managing resistance, and tracking adoption outcomes. The consultant partners with leaders, project teams, and subject matter experts across initiatives such as digital implementations, operating model changes, organizational redesign, and workforce transformation.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Leads a regional CRM sales organization focused on new business growth, territory strategy, pipeline generation, forecasting, quota achievement, and customer expansion. Recruits, coaches, and manages Sales Executives while partnering with Sales Operations, Marketing, Professional Services, Solution Consulting, business units, and partners. Builds executive-level customer relationships, supports opportunity development and closing, and drives strategic sales execution across the manufacturing sector.

Manage AI and machine learning products for materials science, including customer demonstrations, roadmap planning, product expansion, ML model development, and leadership of the materials science ML team. The role requires deep expertise in materials science and ML, software-industry experience, customer engagement, public presentations, and global travel.

Leads AI governance across Finance by establishing intake, risk triage, approval workflows, controls, security guardrails, documentation, and reusable implementation patterns. Partners with Finance developers, Audit, Security, Legal, IT, data owners, and vendors to govern AI tools handling financial or regulated data. Translates emerging AI risks into practical decision criteria while supporting innovation and compliance with financial controls, SOX, data classification, and third-party risk requirements.

Lead NVIDIA’s Federal and SLED General Accounts sales team, managing Account Managers across government, higher education, and research customers. Develop go-to-market strategy, pipeline, demand generation, forecasting, revenue performance, and regional growth. Build executive relationships and coordinate technical, product, marketing, developer, and partner resources. The role requires extensive public-sector technology sales experience, leadership capability, knowledge of government procurement and buying cycles, and the ability to sell advanced AI, accelerated computing, and infrastructure solutions.

Manage strategic relationships with AI-native startups, drive revenue and quota attainment, qualify and close complex technology solutions, maintain forecasts, and collaborate with solution architects, channel partners, and cross-functional teams. The role requires positioning NVIDIA CUDA-X libraries, supporting startup integrations and go-to-market initiatives, and developing business and technical collaborations.

Design and lead cloud and in-car data mining strategies for autonomous vehicle perception and end-to-end models. Build AI-driven software to accelerate data mining, collection, delivery, and corner-case resolution. Develop operational processes using big data, statistics, and machine learning to ensure high-quality training data from production and collection vehicles. Collaborate with platform teams and balance cost, engineering quality, and delivery timelines.

Leads NVIDIA’s autonomous vehicle software program portfolio, owning delivery roadmaps, governance, risk management, customer timelines, and cross-functional execution. Manages and develops a team of technical program managers while personally driving complex autonomy programs, integrations, design reviews, and issue resolution. Partners with engineering, testing, regulatory, product, and vehicle-program leaders to deliver autonomous driving features and communicate technical risks and decisions to executives.

Leads public relations for NVIDIA’s AI software business by developing compelling technical narratives, pitching reporters, securing media coverage, and building relationships with media and internal teams. The role translates complex AI, software, open-source, and model technologies into engaging stories that strengthen the brand and advance proactive communications strategies across industries.

Manage strategic banking accounts for NVIDIA’s Financial Services sales team. Own customer relationships, develop account strategies, forecast sales, drive revenue and platform adoption, expand market share, and build partnerships with cloud providers, OEMs, and ISVs. Evangelize NVIDIA’s accelerated computing technologies to executives, data scientists, and IT leaders while leading go-to-market plans, customer education, and cross-functional collaboration.

Design, build, and operate scalable private cloud infrastructure for job execution, resource management, and storage. Develop Kubernetes-based distributed services, agentic infrastructure workflows, observability, automated recovery, and remediation capabilities. Diagnose production issues, improve reliability and performance, plan capacity, and partner with engineering teams to deliver production-ready solutions across large-scale, multi-region platforms.

Lead technical go-to-market strategy for NVIDIA CPUs, including launches, benchmarking, competitive analysis, positioning, messaging, and marketing assets. Partner with engineering, product management, sales, and external stakeholders to explain CPU architectures, C2C fabric, AI, HPC, and data center capabilities. Develop blogs, whitepapers, presentations, analyst briefings, conference content, competitive responses, and executive keynote materials that communicate NVIDIA’s CPU leadership.

Lead software safety for AI-based autonomous vehicle systems across NVIDIA’s DRIVE and Halos platforms. Define and verify safety requirements, perform system and architectural safety analyses, develop safety plans and certification evidence, improve AI safety processes, and support interactions with customers, regulators, assessors, and standards organizations. The role covers safety-critical software, embedded platforms, autonomous systems, and certification activities.

Build and integrate software for simulated and physical humanoid robots using NVIDIA robotics technologies. Develop end-to-end workflows for data collection, simulation, training, evaluation, and deployment of autonomous capabilities. Extend platforms to new robot embodiments, deploy learned policies, and resolve compute, latency, bandwidth, and software-hardware integration challenges. Collaborate internationally to deliver reliable robotic systems and agent-driven robotics interfaces.

Own the company-wide consolidated P&L forecast, executive and Board reporting, cost-saving initiatives, finance process automation, AI integration, and quarterly close and earnings support. Partner with cross-functional leaders to improve profitability, adapt forecasting frameworks, and identify risks and opportunities. Build and mentor a high-performing finance team while ensuring accurate financial reporting and strategic decision support.

Lead enterprise influencer relations for NVIDIA’s AI models and research. Develop influencer programs, pitch stories, secure impactful social content, cultivate AI influencer relationships, and collaborate with business, marketing, regional, and industry partners. Translate complex technical concepts into compelling narratives for broad audiences while promoting open models, enterprise AI, and model innovation globally.

Manage strategic biopharma and digital health accounts, build executive and developer relationships, expand NVIDIA platform adoption, communicate the value of its AI and accelerated computing offerings, develop account strategies, forecast revenue, and lead complex engagements with cross-functional teams and technology partners. The role requires enterprise technology sales expertise, healthcare ecosystem experience, strong revenue performance, AI/ML knowledge, and up to 25% travel.

Owns the design, development, and operation of Kubernetes management-plane software for customer-managed AI and HPC infrastructure. Responsibilities include building cluster lifecycle capabilities, Kubernetes controllers and operators in Go, automated provisioning, distributed-system reliability and security improvements, CI/CD and testing, technical leadership, cross-team coordination, mentoring, and production troubleshooting.

Conduct original research at the intersection of AI, GPU computing, and EDA for chip design. Develop machine learning algorithms, GPU-accelerated optimization methods, and EDA software; collaborate with circuit, VLSI, and architecture teams to translate research into products. Publish at leading conferences, present research, mentor junior scientists, lead projects, and build collaborations with academia, industry, and internal product teams.

Own and grow NVIDIA’s strategic relationship with a defense technology customer. Build executive partnerships, develop account strategies, coordinate ecosystem partners, and drive adoption of NVIDIA hardware and software across autonomy, AI, simulation, remote sensing, and edge deployment. Lead complex technical and commercial opportunities from evaluation through production, build qualified pipeline, close revenue-generating deals, and align internal technical and business teams around customer mission requirements.