Diffusion Models Jobs
16 open roles mentioning Diffusion Models
Senior AI Developer Technology Engineer
nvidia
We are seeking a Senior AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team bridges the NVIDIA platform with developers worldwide, diving deep into customer projects to eliminate bottlenecks and partnering with the developer community to deliver optimal performance on NVIDIA systems. If you are passionate about accelerating advanced AI models and influencing the future of NVIDIA hardware and software, we want you on our team.
$184k - $357k
Helix AI Engineer, Perception
Figure AI
Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in both home and commercial markets. This role will focus on developing the perception systems for these robots, encompassing onboard computer vision, localization, visuomotor policies, and offline data annotation.
$200k - $400k
Senior AI-Native Systems Software Engineer, TensorRT
nvidia
NVIDIA's TensorRT team is seeking a Senior AI-Native Systems Software Engineer to lead a groundbreaking initiative focused on making TensorRT the global standard for out-of-framework inference. This role involves developing a novel, AI-native framework designed to leverage AI agents for producing high-performance, high-quality C++ software at scale. The ideal candidate is a systems-thinking C++ engineer passionate about advancing agentic development frameworks, staying abreast of deep learning advancements, and enhancing user experience through rapid model onboarding.
$152k - $288k
Quantum-AI Postdoctoral Fellow
Sygaldry Technologies
Sygaldry Technologies is developing quantum-accelerated AI servers to dramatically speed up AI training and inference. By merging quantum computing with AI, the company aims to accelerate the development of superintelligence and ensure its efficient and affordable operation. Their unique approach involves integrating multiple qubit types into a single, fault-tolerant architecture to achieve the necessary cost, scale, and speed for advanced AI applications. Sygaldry is at the forefront of new discoveries in physics, engineering, and AI, tackling complex challenges with a grounded, optimistic, and rigorous culture. They are seeking individuals passionate about defining the future at the intersection of quantum and AI and driving its global impact.
$125k - $145k
Research Scientist (post-training)
Genmo
Genmo is a research lab developing sophisticated video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to focus on alignment and post-training techniques for large-scale video generation models. This role is at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate, and safe outputs that align with human preferences and values.
Research Scientist (diffusion)
Genmo
Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to pioneer cutting-edge diffusion models for text-to-video generation. This role involves creating novel architectures and algorithms to transform written descriptions into high-quality, coherent video content, pushing the boundaries of physical intelligence and enabling robots to learn and act in dynamic environments.
Senior Systems Software Engineer - Deep Learning Solutions
nvidia
NVIDIA is seeking a Senior Systems Software Engineer to join their Deep Learning Solutions team. This role focuses on optimizing deep learning inference for autonomous vehicles and robotics on edge devices. The ideal candidate will be a hands-on specialist capable of analyzing model architectures at the operator level, identifying performance bottlenecks through kernel trace analysis, and evaluating modern AI architectures on GPU and SOC platforms. This position directly contributes to enhancing real-time perception and response capabilities for autonomous systems, working at the intersection of model frameworks, compiler technology, and embedded hardware. Collaboration with automotive OEMs, robotics teams, and internal hardware groups is a key aspect of this role.
$224k - $357k
Perception Engineer
Applied Intuition
Applied Intuition Defense is seeking a Perception Engineer to join their expert team, focusing on advancing perception model performance across various domains including maritime, land, and air-to-surface. This role involves developing custom detector and classifier architectures, leveraging proprietary MLOps tooling for rapid iteration on large datasets, and utilizing frontier AI and extensive token budgets. The position requires building and optimizing perception models for high accuracy and real-time performance on edge devices, as well as contributing to the entire perception stack from labeling tools to simulation. Collaboration with a world-class AI talent pool and scaling datasets through advanced generation techniques are key aspects of this hands-on, full-stack position.
$125k - $175k
PhD Research Intern, Generalist Embodied Agents Research - 2027
nvidia
NVIDIA is seeking a research intern to contribute to building humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The mission is to create general-purpose embodied agents capable of learning and mastering complex skills in both virtual and physical environments. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, game AI, and physical simulation, contributing to significant research projects and product roadmaps, including recent milestones like Project GR00T.
$0k - $0k
PhD Research Intern, Efficient Deep Learning - 2027
nvidia
NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on research that pushes boundaries and has real-world impact. The team's core areas include efficient diffusion language and multimodal generative models, as well as efficient agentic AI with hybrid inference orchestration. We are also interested in post-training model optimization, efficient architecture design, adaptive inference, and resource-efficient training and finetuning. You will collaborate with a research team that consistently publishes at top venues, contributing to technologies that can impact NVIDIA's products.
$0k - $0k
Senior Deep Learning Software Engineer, Inference and Model Optimization
nvidia
NVIDIA is seeking a Senior Deep Learning Software Engineer to join their Algorithmic Model Optimization Team. This role focuses on optimizing generative AI models, including LLMs and diffusion models, for maximum inference efficiency. The team utilizes techniques like neural architecture search, pruning, sparsity, and quantization, and develops an innovative software platform for automated deployment. The engineer will contribute to applied research and the development of this software, which is used both internally at NVIDIA and externally by other AI development teams. This is an opportunity to push the boundaries of inference efficiency and large-scale automated deployment, working with high-level frameworks and improving high-performance kernel implementations.
$184k - $357k
Senior Machine Learning Engineer - Generative Models
Applied Intuition
We are seeking senior machine learning engineers to advance the generative modeling technology behind our Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable sensor data and augment real-world logs with new scenarios. Your work will directly influence the development of next-generation data-driven autonomous vehicles for leading OEMs. This position is ideal for engineers passionate about the intersection of generative modeling, computer vision, and machine learning, who are eager to bring cutting-edge research into production and address complex simulation challenges in Physical AI.
$185k - $260k
Staff Research Scientist- Interactive Avatars
synthesia.io
Synthesia is seeking a Staff Research Scientist to join their R&D department, focusing on the frontier of generative AI, specifically avatar-centric, interactive video diffusion models. This role involves building AI models capable of natural, real-time conversations, understanding user input (audio and video), and generating appropriate human-like reactions. The team operates in a fast-paced environment, translating cutting-edge research into tangible product features. This is a unique opportunity for experts in machine learning and diffusion models to significantly influence the future of AI video agents.
Research Scientist, Physical AI - Foundation Models - PhD New College Grad 2026
nvidia
Join our groundbreaking research team as we revolutionize the future of physical AI through advanced generative models. As a Research Scientist specializing in Generative AI for Physical AI, you will be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You will work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life, shaping the future of AI where digital intelligence meets physical reality.
$168k - $265k
Research Engineer (New Grad)
Genmo
Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to advance physical intelligence and enable robots to learn and act. We are seeking an exceptional Software Engineer to join our research team in pushing the boundaries of visual generative AI. In this role, you will collaborate with experienced researchers to develop and enhance generative models, ensuring their safe and effective deployment. This is an opportunity to contribute to cutting-edge AI research in a fast-paced startup environment.
Machine Learning Engineer, Visual Generative Models (Post-Training & Evaluation)
Nunchux AI
Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build upon. We are seeking a Machine Learning Engineer focused on post-training and evaluation to enhance the efficiency and quality of visual generative models. In this role, you will develop and validate post-training techniques, curate and manage data pipelines for training and evaluation, and build robust evaluation systems to measure model performance. You will also benchmark models against industry standards, ensure quality, and integrate cutting-edge research into production workflows.
$180k - $250k
