NewResearch Engineer, Interactive World Models - New College Grad 2026 NvidiaResearch Engineer, Interactive World Models - New College Grad 2026Santa Clara, CAHelp advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency. Experience profiling or optimizing ML workloads using CUDA, Triton, TensorRT, torch.compile, or similar tools, including work on latency, throughput, quantization, streaming, state or cache management, or multi-GPU execution.
ML Research Scientist, Foundation Models (Senior / Staff / Principal) Genesis TherapeuticsML Research Scientist, Foundation Models (Senior / Staff / Principal)San Mateo, CAOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.
Senior Model-Based Systems Engineer Rondo Energy, Inc.Senior Model-Based Systems EngineerAlameda, CA$185,000–$210,000 / yearBuild and maintain automated workflows in an AI-powered systems engineering platform to connect requirements, interfaces, simulations, verification status, interface changes, and traceability into a live, continuously updated picture of program health. 7+ years in systems, integration, or verification engineering on complex multi-disciplinary, software-intensive systems (energy storage, industrial, aerospace, automotive, robotics, or similar); 3+ years in a model-based engineering environment.
Member of Technical Staff - Foundation Model Architecture & AI Infrastructure Vinci4dMember of Technical Staff - Foundation Model Architecture & AI InfrastructurePalo Alto, CaliforniaToday, our unified model already operates across a subset of partial differential equations in real industrial environments. The next phase is expanding that unified architecture across operators, including: Maxwell’s equations.
Senior Lead, Perception Model Adaptation & Integration RivianSenior Lead, Perception Model Adaptation & IntegrationPalo Alto, California$265,000–$331,000 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Senior Software Engineer, Spatial Intelligence And Foundation Models NvidiaSenior Software Engineer, Spatial Intelligence And Foundation ModelsSanta Clara, CAYou will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots - building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI! What you'll be doing: Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.
Senior Radar Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NvidiaSenior Radar Perception Engineer, Obstacle Foundation Models - Autonomous VehiclesSanta Clara, CAEmbedded Optimization: Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and familiarity with modern architectures (e.g., Transformers, BEV networks). NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Senior Research Scientist, Multimodal Foundation Models And Robotics NvidiaSenior Research Scientist, Multimodal Foundation Models And RoboticsSanta Clara, CADeep understanding of robot kinematics, dynamics, and sensors; Ability to safely operate robot hardware, lab equipment, and tools; Knowledge of control methods, including PID, model predictive control, and whole-body control; Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; Robot hardware design and hands-on building experience. Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers.
Senior Applied Scientist, Efficient LLM Inference & Model Optimization Nebius Group NVSenior Applied Scientist, Efficient LLM Inference & Model OptimizationPalo Alto, CA$195,200–$262,200 / yearInvent, evaluate, and productionize methods for quantization, QAT, distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build high-quality prototypes in PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, then work with MLEs and platform engineers to productionize them.
Relational Foundation Model Engineer, Modern Data Stack NvidiaRelational Foundation Model Engineer, Modern Data StackSanta Clara, CAYou will partner with world-class researchers and engineers across the full machine learning lifecycle, from architecture exploration and large-scale training to post-training optimization and high-performance inference. What you'll be doing: Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
NewNvidia 2027 Internships: Ph.D. Research Large Language Models NvidiaNvidia 2027 Internships: Ph.D. Research Large Language ModelsSanta Clara, CAOur work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Framworks (PyTorch, Tensorflow, JAX, etc.).
NewSenior Research Scientist, Multi-Modal Language Models NvidiaSenior Research Scientist, Multi-Modal Language ModelsSanta Clara, CAOur team drives Nemotron Multi-modal technology and with your help, we will continue to drive our models to be state of the art open-source multi-modal models. We want to deliver models that work amazingly well in the real world right out of the box, and we also want to uplift the whole ecosystem of users of multi-modal LLMs.
NewSenior Manager, Interactive World Model Platforms NvidiaSenior Manager, Interactive World Model PlatformsSanta Clara, CATechnical fluency in the ML primitives behind interactive world models, including diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing style training, Gaussian splatting, NeRFs, and neural reconstruction. Ways to stand out from the crowd: Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering workflows.
Senior Deep Learning Engineer - Model Evaluation & AI Systems NvidiaSenior Deep Learning Engineer - Model Evaluation & AI SystemsSanta Clara, CAExperience acting as a technical bridge across teams or platforms (e.g., evaluation, training, or agent frameworks), combining architectural understanding with clear communication and influence. Ways to stand out from the crowd: Experience building or improving evaluation frameworks, benchmarks, or ML infrastructure used by other teams or external users.
Software Engineer - Voice Model TwitterSoftware Engineer - Voice ModelPalo Alto, CA$150,000–$450,000 / yearWork on pre-training and post-training of speech-language models, with targeted enhancements through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice responses are accurate, factually grounded, natural and idiomatic in spoken style, conversational in tone, and fluent across multiple languages. Build and iterate a comprehensive evaluation framework covering objective metrics (accuracy, quality, latency, expressiveness), human preference studies, content factuality assessments, real-time interaction quality, and experimentation infrastructure to measure and improve performance.
Senior Director, Device And Spice Modeling NvidiaSenior Director, Device And Spice ModelingSanta Clara, CAThe "Device & SPICE modeling" group is responsible to co-develop with foundries in advanced device technology in the following three areas: Achieve device performance targets in Speed, Leakage, and Variation, Release accurate SPICE model based on test chip data, Tape-out device/RO test structures in test chip for SPICE model validation, process readiness & product scribe line monitors. The Advanced Technology Group (ATG) at NVIDIA is an organization of process, CAD, and design engineers that works closely with key foundry partners and internal design groups.
Senior Software Engineer, Data & Model DexmateSenior Software Engineer, Data & ModelFremont, CaliforniaOur mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage.
Technical Program Manager, Model Alignment And Deployment Character AITechnical Program Manager, Model Alignment And DeploymentRedwood City, CATogether, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products-working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving.
NewProduct Manager, Model Management TapestryProduct Manager, Model ManagementMountain View, CaliforniaIn this role, you will collaborate across technical and commercial teams and alongside subject-matter experts to define, build, and deliver essential grid network model management capabilities to both internal and external partners. Originally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
ML Engineer - Inference & Model Deployment HiringCafeML Engineer - Inference & Model DeploymentCupertino, CaliforniaYou will own the bridge between model development and real user-facing infrastructure: deploying models, optimizing inference latency and throughput, scaling serving systems, and making sure our models run efficiently in production. Implement optimization techniques such as quantization, pruning, batching, caching, efficient attention, and precision trade-offs while preserving model quality.