Top AI Engineer Jobs

As a Software Engineer intern, you'll work on AI-driven projects spanning data management, onboard systems, ML infrastructure, simulations, and technical infrastructure, collaborating with experts in various fields.

This role involves owning aspects of data lifecycle for Auger's Supply Chain operating system, including schema design and data processing using AI and SQL.

Looking for new graduate software engineers to work in areas like Data Platform, Onboard Systems, or Technical Infrastructure focusing on AI and autonomy technologies.

As a foundational Software Engineer at Niva, you'll define AI strategy, develop multi-agent AI platforms, and engage with customers to enhance workflows.

The Software Engineer will maintain and evolve the data platform, run LLM ETL pipelines, transform agent outputs, improve system reliability, and support incident response.

Lead technical vision and roadmap for Pinterest's AI Platform. Architect petabyte-scale data orchestration, model training/fine-tuning, and high-performance inference for Generative AI and Recommender Systems. Drive cross-functional initiatives, influence architecture across the company, and cultivate an inclusive engineering culture focused on quality and ownership.

Develop and fine-tune vision-centric large language models and visual encoders, build evaluation benchmarks, collect and prepare visual training data (including for RLHF), prototype architectures for production VLMs, publish research, and mentor junior researchers within a small applied ML research team.

As an AI Product Engineer, you will develop innovative LLM-powered solutions, enhance AI systems, and collaborate with cross-functional teams to improve customer experiences.

The Frontend Engineer will lead the development of a web application, focusing on architecture, feature development, and testing, while collaborating with other teams and optimizing performance.

Lead the development of AI/ML deployment infrastructure, collaborate with engineers, develop pipelines, manage teams, and enhance data applications.

Develop AI/ML models for 3D simulation and geology prediction, refine data pipelines, and integrate deep learning tech with product backend.

Lead the CRM AI team to drive technical direction and execute the roadmap for an AI-powered CRM platform, focusing on architecture, operational excellence, and cross-functional collaboration.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

Profile, benchmark, and optimize large-scale LLM training and inference across GPUs, CPUs, HCAs, and switches. Focus on collective communication and high-performance networking, build PyTorch trace-based profiling and replay tools, define performance test plans, and collaborate across hardware and software teams to identify bottlenecks and achieve performance targets.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

Create developer-focused technical content, demos, reference examples, deployment guides, and docs-as-code workflows to accelerate adoption of NVIDIA enterprise AI software. Work across engineering, product, field, and partners to design developer journeys, build sample applications and notebooks, enable sales and partners, capture feedback, and engage the open source and cloud-native communities.

Lead developer marketing programs to acquire, activate, and grow developers building AI applications on PC using NVIDIA SDKs and RTX. Create technical content, run community and partner activations, educate developers on platform capabilities, drive engagement and evangelism across channels, and use analytics to improve program performance.

As a Senior Software Engineer, focus on backend development and AI integration for scientific applications, building systems that leverage advanced AI techniques.

The Senior AI Software Engineer will design scalable services for AI-driven applications, develop APIs, optimize data pipelines, and ensure system reliability, collaborating with cross-functional teams on edge and cloud AI integration.

The role involves designing and developing scalable services for AI workloads, integrating AI with edge devices, and implementing security best practices. A strong background in backend development and LLM integration is essential.

Design, build, and maintain LLM integrations and AI features; own end-to-end delivery from requirements to production monitoring; ensure scalability, reliability, observability; leverage AI agents to improve developer and operational efficiency; collaborate cross-functionally.

The AI Software Engineer will deploy models, build data pipelines, optimize performance for AI models, and develop testing suites in collaboration with AI scientists.

Design and prototype algorithms for machine learning and reinforcement learning in robotics, focusing on practical problem-solving and real-world application.

The Senior AI/ML Software Developer will design, develop, and maintain AI applications, collaborating with teams and solving complex problems.