Find your next AI Engineering role
2+ open roles · 364+ companies hiring
2 open positions
Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
nvidia
NVIDIA is seeking a Principal Perception Engineer to lead the design and productization of next-generation autonomous driving perception stacks. This senior individual contributor role involves setting technical direction for 3D obstacle perception, driving cross-functional execution, and mentoring engineers. The role requires deep hands-on involvement in architecture, algorithms, and implementation, with a focus on modern transformer-based, multi-modal, and vision-language techniques. The goal is to build intelligent machines that can perceive, reason, and solve complex problems using GPU-accelerated deep learning.
$272k - $431k
Senior Deep Learning Engineer, Cosmo 3D Spatial
nvidia
NVIDIA is at the forefront of the AI revolution, exploring the next frontier of Physical AI, which involves machines that can perceive, reason about, and act within the three-dimensional world. The NVIDIA Cosmos platform provides open foundation models for Physical AI, designed to interpret images, video, and text to create a structured understanding of physical scenes, including motion, object interactions, geometry, and physical context. These models serve as the reasoning layer for robots, autonomous vehicles, and smart infrastructure. The Cosmos Engineering team is responsible for developing the core capabilities behind these models and is seeking a Senior Deep Learning Engineer to lead the data engine and end-to-end training verification for 3D spatial reasoning and perception. This role involves ensuring models accurately learn and represent 3D spatial concepts, working closely with research scientists to translate hypotheses into measurable capabilities in shipped models, and focusing on the critical role of data and evaluations in achieving frontier model quality.
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.