Senior/Staff Machine Learning Research Scientist: Generative Modeling For Planning NuroSenior/Staff Machine Learning Research Scientist: Generative Modeling For PlanningMountain View, CA$193,930–$352,290 / yearYou'll apply state-of-the-art generative modeling techniques-ranging from cutting-edge diffusion, flow matching, energy-based models, and SoTA algorithms-in order to develop novel solutions that generate safe, comfortable, and efficient driving behaviors in the most challenging real world situations. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Machine Learning Research Scientist: Generative Modeling For Planning NuroMachine Learning Research Scientist: Generative Modeling For PlanningMountain View, CA$160,360–$240,540 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving.
Staff Software Engineer, Modelling Infrastructure GoogleStaff Software Engineer, Modelling InfrastructureSunnyvale, CAYou will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align road-maps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscape. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Power Model Engineer SiFivePower Model EngineerSanta Clara, California$178,848–$218,592 / yearSiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. United States of America Any offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.
Radar System Modeling Engineer E-SpaceRadar System Modeling EngineerSaratoga, CA$120,000–$200,000 / yearWe’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet.
Ai/Ml Engineer - Model Inference General MotorsAi/Ml Engineer - Model InferenceSunnyvale, CA$117,700–$221,400 / yearThe team sits at the intersection of machine learning, data infrastructure, and developer productivity, building systems that make it easier to search for important scenarios, prepare training-ready data, and support fast iteration across perception and evaluation workflows. We believe the next generation of autonomy and robotics depends not only on stronger models, but also on better infrastructure for turning massive volumes of multimodal data into reusable signals, searchable artifacts, and high-quality evaluation loops.
Director/Sr. Manager, AI Inference Model Scaling Cerebras SystemsDirector/Sr. Manager, AI Inference Model ScalingSunnyvale, CaliforniaWe build the compiler frontend, model transformation pipeline, graph optimization infrastructure, high-performance kernel enablement, and runtime integration that together make next-generation AI models execute with industry-leading performance. We collaborate closely with hardware architects, runtime engineers, cloud platform teams, AI researchers, and strategic customers to rapidly bring new model architectures into production.
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.
Sr Engineering Program Manager, AIML Foundation Models Apple IncSr Engineering Program Manager, AIML Foundation ModelsCupertino, CAYou will partner directly with Privacy, Legal, and Finance to ensure our data strategy is not only world-class but also aligns with Apples core values.6+ years of experience in program management in the data acquisition of ML technologies Experience with machine learning concepts and technologies. You will leverage your deep technical expertise in the large-scale ML lifecycle-from massive data pipelines and distributed training to sophisticated evaluation and on-device inference-to ship groundbreaking, privacy-focused experiences to millions of users.
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.
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.
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 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.
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.
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.
Nvidia 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.).
Sr. Manager, Transformation (Pricing & Business Model) AdobeSr. Manager, Transformation (Pricing & Business Model)San Jose, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Manager, Transformation (Pricing & Business Model) will drive end-to-end execution for prioritized transformation efforts – including translating strategic objectives into specific workplans and analyses, coaching cross-functional teams on transformation design and delivery, and driving problem-solving and alignment.
Senior Machine Learning Engineer - Foundation Model XPeng MotorsSenior Machine Learning Engineer - Foundation ModelSanta Clara, CA$174,720–$295,680 / yearYou will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics.
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.