Top AI Engineer Jobs

The Staff Engineer will develop and implement AI systems, mentor engineers, and enhance workflows using Generative AI, focusing on scalability and reliability.

Lead developer relations for NVIDIA's local AI ecosystem: manage strategic partner portfolio, provide technical guidance, drive adoption of NVIDIA accelerated computing and runtimes, define joint plans and success metrics, enable partners with integrations and content, represent partner needs internally, and evangelize local AI at events.

Lead design and implementation of serverless Python backends on AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge). Architect event-sourced systems, ensure reliability, idempotency, security, IaC and CI/CD, mentor engineers, and integrate AI-assisted development tools while addressing their risks and opportunities.

Design and implement enterprise-scale AI/ML architectures and solutions, build and maintain data and model pipelines, process structured and unstructured data, deploy and monitor ML applications, mentor teammates, and operate with autonomy while meeting security clearance requirements.

Lead technical adoption of AgentControl by building integrations, demos, and content; advise customers and partners; collect product feedback; develop Solutions Engineering playbooks; collaborate with product, engineering, and AI SME teams; evangelize at conferences; and measure activation, usage, and impact to drive product-market fit and revenue.

Design, develop, and deploy large-scale distributed AI/ML applications (voice/IVR/chat), build multi-agent systems, collaborate cross-functionally, ensure reliability and scalability, and implement CI/CD, container orchestration, and cloud-based monitoring and infrastructure.

Design and implement scalable, secure cloud-native platforms and services for real-time network data processing, generative AI and agentic systems. Lead architecture, mentor engineers, build production-grade distributed systems for analytics, telemetry, and intelligent automation.

Lead and sustain large-scale HPC systems supporting NOAA/NWS forecasting. Manage scheduler/software stack (PBS Pro/Slurm), optimize performance and throughput, troubleshoot multi-node Linux clusters, develop scripts, and support 24/7 operations with occasional travel and on-call duties.

Serve as a technical advisor to research labs to accelerate adoption of NVIDIA AI and computing platforms. Map research ecosystems, track emerging scientific AI trends, collaborate cross-functionally, enable researchers through demos, workshops, and technical content, and represent researcher needs to inform product, education, and platform roadmaps. Attend conferences and foster long-term academic and national-lab partnerships.

Design and implement AI agent architectures and integrations for enterprise customers. Lead technical discovery, map systems and workflows, configure agent behavior, run QA/testing, and partner with Product/Engineering to optimize deployments and advocate product improvements.

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.

The AI Infrastructure Engineer will design and operate data and compute systems, manage GPU infrastructure, and develop data pipelines for machine learning models.

The Senior Software Engineer will build evaluation infrastructure for AI systems, ensuring reliability and accuracy. Responsibilities include designing datasets, benchmarks, and test harnesses for AI behavior assessment.

Work directly with government and enterprise clients to architect, integrate, and deploy secure, compliant AI-enabled cloud environments. Build microservices and APIs, manage IaC, CI/CD, containers/orchestration, observability, and platform uptime across commercial and government clouds while meeting accreditation standards.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

As a Staff Engineer on the AI team, you'll design and build core cognitive architectures, focusing on high-performance AI systems and ensuring reliability while addressing complex problems.

Build and productionize AI applications integrating LLMs and vision models into an edge-to-cloud robotics platform. Fine-tune and quantize models, deploy to NVIDIA Orin/Jetson and cloud GPUs, integrate Vector DBs/RAG/agent frameworks, and create data pipelines to collect and version sensor data for retraining.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The AI Product Engineer will design and launch AI-driven products for government agencies, collaborating with various teams to streamline services and improve usability.

Design, build, and maintain agent APIs and production agent applications for document understanding, advanced RAG, and customer support automation. Integrate open-source models, collaborate with backend and infra for deployment and monitoring, and ensure APIs are robust, scalable, and developer-friendly.

Design, implement, and optimize GPU kernels, kernel compiler, memory planner, and runtime for low-latency generative AI inference. Analyze performance bottlenecks across hardware and software, collaborate with infrastructure teams, and maintain production profiling, benchmarking, and validation tooling while supporting new model architectures and multi-GPU strategies.

Seeking a Senior AI Engineer to develop automated systems for vulnerability research, reverse engineering, and secure engineering utilizing machine learning and AI-driven tools.

As a Full Stack Software Engineer, you will develop AI-driven products, manage code pipelines, support team operations, and ensure system health, leveraging technologies like React and Node.js.

The Early Career Software Engineer will design, develop, and maintain software solutions with a focus on AI integration, collaborating with teams to create innovative features.

Lead product development by identifying user pain points and building AI-powered solutions, while collaborating with teams to drive impact and iterate based on feedback.