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Measure generalization, robustness, uncertainty, and performance as team size and operating conditions change.</li>\n<li>Recruit, develop, and manage a high-performing team of AI/ML engineers.</li>\n<li>Translate edge constraints into model-design and training decisions in partnership with hardware, autonomy, and inference teams.</li>\n<li>Communicate technical tradeoffs and model limitations clearly to research, engineering, product, and organisational leadership.</li>\n<li>Deliver trained models and clear performance evidence to partner teams.</li>\n<li>Create tight feedback loops among model failures, data curation, training experiments, and re-evaluation.</li>\n</ul>\n<p><strong>Required qualifications:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.</li>\n<li>Typically requires a minimum of 10 years of related experience with a Bachelor&#39;s degree; 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We are looking for talented individuals to work on various projects, including AI, research, hardware, and more.</p>\n<p><strong>AI</strong></p>\n<p>Develop and apply cutting-edge deep learning, machine learning, and data analysis techniques to help clients overcome challenges. Your tasks will include creating predictive models, recommendation engines, statistical models, libraries, and SDKs to accelerate data science applications.</p>\n<p><strong>Research</strong></p>\n<p>Join a team of exceptional researchers and technologists who are advancing the field of AI, robotics, autonomous vehicles, and more. You will develop new circuits, architectures, and design methods, and collaborate with others to publish research and present at conferences.</p>\n<p><strong>Hardware</strong></p>\n<p>Be part of a dynamic team that designs and develops hardware for various applications, including autonomous vehicles, graphics, and data centres.</p>\n<p><strong>Areas of Work</strong></p>\n<p><strong>Autonomous Vehicles</strong></p>\n<p>Join a team that is transforming the transportation sector with AI-powered autonomous vehicles. You will work on our DRIVE platform, which enables data collection, model training, simulation testing, and deployment of safe autonomous vehicles.</p>\n<p><strong>Graphics</strong></p>\n<p>Collaborate with brilliant engineers and scientists to create innovative graphics technologies, such as ray tracing and NVIDIA Omniverse. These technologies are revolutionising animation, simulation, and collaboration.</p>\n<p><strong>Robotics</strong></p>\n<p>Develop efficient ways for robots to interact with their environment and perform complex tasks alongside humans. You will design, prototype, test, and manufacture AI systems for robot manipulation, navigation, and simulation.</p>\n<p><strong>Games</strong></p>\n<p>Help develop the next generation of games that transform experiences across desktop, mobile, and cloud platforms. You can work on product design, UI/UX design, game developer engagement, product marketing, and experience testing.</p>\n<p><strong>Data Center</strong></p>\n<p>Join a team that is transforming data centres with high-performance computing and revolutionary DGX technology. You will design, develop, and deploy GPU-defined data centres that are fundamental to supercomputers and AI systems.</p>\n<p><strong>WWFO</strong></p>\n<p>Bring NVIDIA technology to life within the company. If you are passionate about AI, high-performance computing, professional visualisation, and accelerated computing, join a team that designs, enables, and deploys large-scale solutions.</p>\n<p><strong>How We Hire</strong></p>\n<p>NVIDIA offers equal opportunities and promotes diversity in the workplace. We are committed to providing accessibility for candidates with disabilities. 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You will work with experienced engineers on learning-based driving algorithms, supervised fine-tuning, reinforcement learning, data optimization, model evaluation, and multi-carline adaptation.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop, train, fine-tune, and evaluate learning-based algorithms for autonomous driving decision-making, planning, and driving behavior.</li>\n<li>Explore Transformer-based approaches, including VLMs and VLAs, for driving-scene understanding, decision-making, and trajectory generation.</li>\n<li>Build supervised fine-tuning data workflows and Python tools for scenario mining, data cleaning, filtering, labeling, experiment management, visualization, and model evaluation.</li>\n<li>Analyze model failures and vehicle logs, mine hard cases, and improve dataset balance, long-tail coverage, and noise quality.</li>\n<li>Conduct supervised fine-tuning, reinforcement learning, ablation, and evaluation experiments using offline metrics, open-loop replay, simulation, and vehicle-test results.</li>\n<li>Support model and carline adaptation across multiple autonomous driving programs, including issue analysis, validation, and scaling.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Currently pursuing a Master&#39;s or PhD in Computer Science, Artificial Intelligence, Robotics, Mathematics, or a related field.</li>\n<li>Good Python programming skills and hands-on experience with PyTorch or another deep learning framework.</li>\n<li>Good understanding of machine learning, deep learning, Transformer architectures, model training, optimization, and dataset analysis.</li>\n<li>Proficient English communication skills, both written and verbal, with the ability to collaborate effectively with global teams.</li>\n<li>Able to work at least three days per week throughout the internship.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with supervised fine-tuning, imitation learning, reinforcement learning, behavior cloning, or learning-based planning.</li>\n<li>Experience using or fine-tuning VLMs, VLAs, or other multimodal foundation models.</li>\n<li>Familiarity with autonomous driving datasets, trajectory data, vehicle logs, simulation, or scenario-mining pipelines.</li>\n<li>Strong C++ skills or relevant research, open-source, publication, or competition experience.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5ad6e9df-506","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Applied-Deep-Learning-Algorithm-Intern--Autonomous-Driving---2027_JR2027181?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","PyTorch","machine learning","deep learning","Transformer architectures"],"x-skills-preferred":["supervised fine-tuning","imitation learning","reinforcement learning","behavior cloning","learning-based planning","VLMs","VLAs","multimodal foundation models","autonomous driving datasets","trajectory data","vehicle logs","simulation","scenario-mining pipelines","C++"],"datePosted":"2026-10-13T02:17:28.872Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, machine learning, deep learning, Transformer architectures, supervised fine-tuning, imitation learning, reinforcement learning, behavior cloning, learning-based planning, VLMs, VLAs, multimodal foundation models, autonomous driving datasets, trajectory data, vehicle logs, simulation, scenario-mining pipelines, C++"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0518e768-3d9"},"title":"Senior Software Engineer","description":"<p>NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications.</p>\n<p>Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models.</p>\n<p>You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You&#39;ll bring to bear open-source tools and plugins,including CUTLASS, OAI Triton, NCCL, and CUDA kernels,to implement and optimize model serving pipelines.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.</li>\n<li>Scale performance of DL models across different architectures and types of NVIDIA accelerators.</li>\n<li>Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions.</li>\n<li>Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).</li>\n<li>5+ years of relevant software development experience.</li>\n<li>Excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.</li>\n<li>Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.</li>\n<li>Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.</li>\n<li>GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Highly competitive salaries</li>\n<li>Comprehensive benefits package</li>\n<li>Equity eligibility</li>\n</ul>\n<p>The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0518e768-3d9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Deep-Learning-Software-Engineer--Inference_JR2027457?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4","x-skills-required":["C/C++","software design","Deep Learning","GPU programming"],"x-skills-preferred":["Python","SW Agile","performance modeling","profiling","debug","code optimization","architectural knowledge of CPU and GPU","Multi GPU Communications (NCCL, NVSHMEM)"],"datePosted":"2026-10-13T02:15:36.834Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, software design, Deep Learning, GPU programming, Python, SW Agile, performance modeling, profiling, debug, code optimization, architectural knowledge of CPU and GPU, Multi GPU Communications (NCCL, NVSHMEM)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":152000,"maxValue":287500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_551e5469-3ba"},"title":"Staff Machine Learning Engineer","description":"<p>Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn&#39;t a place for complacency, it’s a place to be pushed past your perceived limits. If you&#39;re ready to build the future of finance alongside people who refuse to settle for &quot;good enough,&quot; you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”</p>\n<p><strong>Staff Machine Learning Engineer, CX Intelligence</strong></p>\n<p>CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase&#39;s customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you&#39;ll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems.</li>\n<li>Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes.</li>\n<li>Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies.</li>\n<li>Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code.</li>\n<li>Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.</li>\n<li>Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack.</li>\n</ul>\n<p><strong>Required Skills and Experience</strong></p>\n<ul>\n<li>8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services.</li>\n<li>Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics.</li>\n<li>Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services.</li>\n<li>Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.</li>\n<li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li>\n</ul>\n<p><strong>Pay Information</strong></p>\n<ul>\n<li>Annual base salary range (excluding equity and bonus): $218,025-$256,500 USD</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_551e5469-3ba","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/","logo":"https://logos.yubhub.co/coinbase.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coinbase/jobs/8267151?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$218,025-$256,500 USD","x-skills-required":["Machine Learning","Deep Learning","Graph Neural Networks","Python","LLMs","NLP","Information Retrieval","Data Mining","Advanced Statistics"],"x-skills-preferred":[],"datePosted":"2026-10-10T03:06:21.663Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Graph Neural Networks, Python, LLMs, NLP, Information Retrieval, Data Mining, Advanced Statistics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":218025,"maxValue":256500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_be83d9fa-111"},"title":"PhD-candidate Intern - Robotics Research","description":"<p>NVIDIA&#39;s Seattle Robotics Lab is seeking PhD-candidate interns to contribute to research efforts in robotics, AI, and machine learning.</p>\n<p>The lab focuses on fundamental and applied research across the robotics stack, including perception, planning, control, and reinforcement learning.</p>\n<p>As an intern, you will:</p>\n<ul>\n<li>Develop algorithms and methods for robotic manipulation and loco-manipulation</li>\n<li>Integrate methods into real-world robotic systems</li>\n<li>Contribute to multi-person research projects</li>\n<li>Engage with the academic community through publications and conferences</li>\n<li>Develop AI agents to accelerate research and engineering</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Enrolled in a PhD program in Robotics, Machine Learning, Computer Science, or related field</li>\n<li>Knowledge of robotics and AI theory and practice</li>\n<li>Demonstrated research track record with publications in top conferences and journals</li>\n<li>Exceptional programming skills in Python, with familiarity with C++, CUDA, and Warp a plus</li>\n<li>Fluency in modern deep learning frameworks such as PyTorch or JAX</li>\n<li>Experience with robotics frameworks and physics simulation frameworks</li>\n</ul>\n<p>Research areas of interest include:</p>\n<ul>\n<li>Bimanual and dexterous manipulation</li>\n<li>Mobile manipulation and humanoid loco-manipulation</li>\n<li>Multimodal robot learning</li>\n<li>Simulation and sim-to-real transfer</li>\n<li>Robot foundation models and agentic robotics</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_be83d9fa-111","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Switzerland-Zurich/PhD-Research-Intern--Robotics---Summer-2027_JR2027294?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","C++","CUDA","Warp","PyTorch","JAX","robotics","machine learning","AI","deep learning"],"x-skills-preferred":["ROS2","Isaac Sim","Isaac Lab","Newton","MuJoCo"],"datePosted":"2026-10-10T01:16:37.091Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, CUDA, Warp, PyTorch, JAX, robotics, machine learning, AI, deep learning, ROS2, Isaac Sim, Isaac Lab, Newton, MuJoCo"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_83043484-a5e"},"title":"Research Intern - 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The team focuses on optimizing generative AI models, such as large language models (LLMs) and diffusion models, for maximal inference efficiency.</p>\n<p>As a Senior Deep Learning Software Engineer, you will play a crucial role in developing and scaling up automated inference and deployment solutions. 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Scientist - Autonomous Systems and Physical AI","description":"<p>We are now recruiting top Research Scientists to work on autonomous vehicles, robotics, and physical AI at NVIDIA&#39;s Autonomous Systems and Physical AI Research (ASPIRE) group.</p>\n<p>Intelligent machines that can perceive, reason, and safely interact with people and the physical world are rapidly becoming a reality. Self-driving cars, autonomous delivery and construction vehicles, mobile manipulators, and other robotic systems are moving closer to widespread deployment. However, fundamental research challenges remain before these systems can operate safely, reliably, and autonomously in complex, unfamiliar environments.</p>\n<p>The ASPIRE group conducts foundational research spanning foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI development. We also investigate related areas including decision-making under uncertainty, deep learning, reinforcement learning, simulation, and the verification and validation of safety-critical AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Designing and implementing cutting-edge techniques for autonomous vehicles, robotics, and physical AI.</li>\n<li>Conducting original research and publishing your results.</li>\n<li>Collaborating with research colleagues, internal product teams, and external researchers.</li>\n<li>Transferring technology you&#39;ve developed to relevant product groups.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Completing or recently completed a PhD in 2026 in Robotics, Computer Science, Computer Engineering or a related field.</li>\n<li>Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.</li>\n<li>Strong knowledge of the theory and practice of vehicle or robot autonomy,or expertise in a related area, with a strong interest in applying your work to autonomous systems.</li>\n<li>A track record of research excellence, demonstrated through publications at leading conferences and journals,and through other research artifacts such as open-source software.</li>\n<li>Exceptional Python programming skills; experience with C++ and parallel programming, such as CUDA, is a plus.</li>\n<li>Experience with machine learning frameworks such as PyTorch.</li>\n<li>Strong communication and interpersonal skills are required, along with the ability to thrive in a dynamic, research-focused team.</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fb56bf11-2eb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Research-Scientist--Autonomous-Systems-and-Physical-AI-Research---PhD-New-College-Grad-2026_JR2027551?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"168,000 USD - 264,500 USD","x-skills-required":["Python","C++","CUDA","PyTorch","machine learning","deep learning","reinforcement learning","simulation"],"x-skills-preferred":[],"datePosted":"2026-10-08T00:19:58.667Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, CUDA, PyTorch, machine learning, deep learning, reinforcement learning, simulation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":168000,"maxValue":264500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2ebc3cf-14c"},"title":"Senior Machine Learning Engineer, AI Safety","description":"<p>NVIDIA is seeking a Senior Machine Learning Engineer to join its AI Safety and Responsibility efforts for Enterprise Risk Management. You will work on innovative problems in machine learning, focusing on scaling safety for multi-modal Large Language Models (LLMs) including advanced agentic safety.</p>\n<p>The role involves measuring and improving the security, content safety, and inclusivity of frontier models. 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We&#39;re seeking a Director of Machine Learning Engineering to lead a broad portfolio of Ads Quality modeling teams focused on engagement, conversion, ROAS optimization, ranking, representation learning, and ML-powered experimentation.</p>\n<p>In this role, you will shape and drive a unified technical strategy across Ads Quality, leading teams responsible for engagement ranking, oCPM and conversion modeling, ROAS optimization, lightweight ranking and retrieval models, foundation model adoption, sequence and multimodal modeling, and the quality and efficiency of production machine learning systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set the technical vision and multi-year strategy for Ads Quality machine learning, connecting model innovation to Pinner value, advertiser performance, revenue, and marketplace health.</li>\n<li>Lead and develop a group of engineering managers, senior technical leaders, and machine-learning engineers across multiple modeling domains.</li>\n<li>Establish a coherent modeling roadmap across engagement, conversion, ROAS, relevance, ranking, and foundation-model initiatives.</li>\n<li>Drive improvements in model quality, calibration, generalization, cold-start performance, attribution, and robustness across Pinterest surfaces.</li>\n<li>Guide the evolution of Ads models toward larger, more generalizable architectures, including foundation models, distillation, long-context sequence modeling, multimodal representations, and cross-domain learning.</li>\n<li>Ensure that modeling investments translate into reliable production outcomes through strong offline evaluation, online experimentation, launch discipline, and post-launch monitoring.</li>\n<li>Partner closely with Ads Product, Ads Data Science, Ads Signals, Ads Retrieval, Ads Delivery, Measurement, Core, ATG, and ML Infrastructure.</li>\n<li>Set expectations for training-serving parity, data quality, privacy, reliability, latency, capacity, and cost efficiency.</li>\n<li>Improve engineering velocity through better experimentation workflows, reusable modeling infrastructure, automation, and agentic development tools.</li>\n<li>Build a culture of technical excellence, candid collaboration, inclusion, ownership, and continuous learning.</li>\n<li>Represent Ads Quality ML in senior leadership forums and communicate strategy, tradeoffs, risks, and results clearly to technical and non-technical audiences.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Minimum 12 years of experience building and deploying machine-learning systems, including significant experience leading managers and multi-team organizations.</li>\n<li>Demonstrated success leading large-scale recommendation, ranking, advertising, search, marketplace, or personalization ML teams.</li>\n<li>Strong understanding of modern deep-learning and recommender-system techniques, including sequence models, embeddings, multimodal models, multi-task learning, foundation models, distillation, and reinforcement learning.</li>\n<li>Experience with conversion, value, ROAS, bidding, or other lower-funnel optimization problems is strongly preferred.</li>\n<li>Proven ability to connect modeling objectives and offline metrics to online experiments and business outcomes.</li>\n<li>Experience operating production ML systems with demanding requirements for latency, availability, calibration, privacy, reliability, and cost.</li>\n<li>Strong judgment in balancing near-term product delivery with foundational technical investments.</li>\n<li>Track record of building high-performing organizations, developing senior leaders, and creating effective operating mechanisms.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence across organizational boundaries.</li>\n<li>Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience; advanced degree preferred.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Salary: $314,580-$550,515 USD per year</li>\n<li>Equity eligibility</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_eb4c103d-b32","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://pinterest.com","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/8258175?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$314,580-$550,515 USD","x-skills-required":["machine learning","deep learning","recommender systems","sequence models","embeddings","multimodal models","multi-task learning","foundation models","distillation","reinforcement learning"],"x-skills-preferred":["conversion optimization","value optimization","ROAS optimization","bidding optimization"],"datePosted":"2026-10-07T02:13:00.390Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, recommender systems, sequence models, embeddings, multimodal models, multi-task learning, foundation models, distillation, reinforcement learning, conversion optimization, value optimization, ROAS optimization, bidding optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":314580,"maxValue":550515,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_071f618d-64f"},"title":"PhD Intern - Efficient Deep Learning","description":"<p>NVIDIA is searching for an outstanding PhD intern working on efficient deep learning to join the Deep Learning Efficiency Research (DLER) team.</p>\n<p>We are passionate about research that pushes boundaries but also has impact in the real world. The team has two core focuses: (1) efficient diffusion language models and multimodal generative models, and (2) efficient agentic AI with hybrid inference orchestration across cloud and edge.</p>\n<p>You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Your contributions have the chance to create real impact on our products.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Research, design, and implement novel methods for efficient deep learning in one or both of the team’s focus areas:</li>\n</ul>\n<p>+ Diffusion LLMs and multimodal models , sampling efficiency, adaptive unmasking, self-speculation / parallel decoding, training and distillation pipelines, and multimodal generation.   + Efficient agentic AI , hybrid inference orchestration across cloud and edge, routing and scheduling policies, on-device vs. cloud expert delegation, and resource-aware agent loops.</p>\n<ul>\n<li>Publish original research.</li>\n<li>Collaborate with other team members and teams.</li>\n<li>Work with product groups to transfer technology.</li>\n<li>Collaborate with external researchers.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.</li>\n<li>Excellent knowledge of theory and practice of machine learning and deep learning.</li>\n<li>Experience with large language models, diffusion language models, multimodal / vision-language models, or agentic systems is required.</li>\n<li>Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.</li>\n<li>Outstanding research track record with at least one top-tier conference (ICML, ICLR, NeurIPS, CVPR, ICCV, etc.).</li>\n<li>Excellent communication skills.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Parallel programming (e.g., CUDA).</li>\n<li>Interest or experience in hybrid cloud–edge inference, orchestration, or adaptive routing.</li>\n<li>Background in pruning, quantization, NAS, or efficient backbones.</li>\n</ul>\n<p>NVIDIA is widely considered to be one of the technology world’s most desirable employers with competitive salaries and a generous benefits package. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_071f618d-64f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Research-Intern--Efficient-Deep-Learning---2027_JR2025478?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":"38 USD - 94 USD","x-skills-required":["machine learning","deep learning","large language models","diffusion language models","multimodal models","agentic systems","model parallelization"],"x-skills-preferred":["parallel programming","CUDA","hybrid cloud–edge inference","orchestration","adaptive routing","pruning","quantization","NAS","efficient backbones"],"datePosted":"2026-10-07T00:20:46.633Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, large language models, diffusion language models, multimodal models, agentic systems, model parallelization, parallel programming, CUDA, hybrid cloud–edge inference, orchestration, adaptive routing, pruning, quantization, NAS, efficient backbones"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7af06729-cbf"},"title":"Machine Learning Engineer","description":"<p>We are seeking a Machine Learning Engineer to join our team building the machine learning backbone of the Perception component for NVIDIA DRIVE AV.</p>\n<p>As a Machine Learning Engineer, you will design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Model Development: Design, train, and optimize machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking).</li>\n<li>Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.</li>\n<li>Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.</li>\n<li>Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance.</li>\n<li>Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.</li>\n<li>8+ years of relevant proven industry experience applying machine learning to address real-world problems.</li>\n<li>Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.</li>\n<li>Deep practical experience applying machine learning to lidar/camera perception and multi-sensor fusion in automotive or related fields.</li>\n<li>Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.</li>\n<li>Building and sustaining training and essential metric workflows for large-scale datasets.</li>\n<li>Excellent communication and analytical skills. Self-motivated drive to solve hard problems.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment.</li>\n<li>Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.</li>\n<li>AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.</li>\n<li>Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).</li>\n</ul>\n<p>We offer a competitive salary ranging from $184,000 to $356,500 per year, depending on experience and location, as well as equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7af06729-cbf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Machine-Learning-Engineer--Perception---Autonomous-Driving_JR2026973?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000 - $287,500 (Level 4), $224,000 - $356,500 (Level 5)","x-skills-required":["C++","Python","Machine Learning","Deep Learning","Computer Vision","LiDAR","Camera Perception","Multi-sensor Fusion"],"x-skills-preferred":["PyTorch","TensorFlow","Transformers","Model Optimization","TensorRT","Autonomous Vehicle Production Experience"],"datePosted":"2026-10-07T00:18:47.675Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Machine Learning, Deep Learning, Computer Vision, LiDAR, Camera Perception, Multi-sensor Fusion, PyTorch, TensorFlow, Transformers, Model Optimization, TensorRT, Autonomous Vehicle Production Experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":356500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61276ea7-864"},"title":"Senior Computer Vision Engineer","description":"<p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.</p>\n<p>The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels.</p>\n<p>We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field</li>\n<li>Develop and maintain core ML pipelines</li>\n<li>Train and deploy deep learning models for real-time applications</li>\n<li>Collaborate cross-functionally with camera, systems and labeling teams</li>\n<li>Curate datasets for evaluating performance and comparing performance trends over time</li>\n<li>Provide technical mentorship to other junior ML engineers</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision</li>\n<li>BS in Computer Science, Machine Learning, Electrical Engineering, or related field</li>\n<li>6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets</li>\n<li>Strong Deep Learning and CV background</li>\n<li>Proficiency in C++ development in a Linux environment</li>\n<li>Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow</li>\n<li>Experience deploying models with TensorRT and ONNX</li>\n<li>Optimize on-device inference and vision kernels across CPU/GPU/NPU</li>\n<li>Track record of developing and deploying CV models from R&amp;D to production</li>\n<li>Experience writing and maintaining automated continuous integration tests</li>\n<li>Knowledge of system profiling and tuning for latency, memory and power efficiency</li>\n<li>Ability to conduct experiments, ablation studies and create highly detailed reports</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression</li>\n<li>Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow</li>\n<li>Experience troubleshooting and analyzing remotely deployed software systems</li>\n<li>1 year of experience in a technical leadership role</li>\n</ul>\n<p>The salary range for this role is $220,000-$292,000 USD per year. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril&#39;s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61276ea7-864","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5256999007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220,000-$292,000 USD","x-skills-required":["Machine Learning","Computer Vision","Deep Learning","C++","Python","PyTorch","TensorFlow","JAX","TensorRT","ONNX"],"x-skills-preferred":["Object Detection","Object Tracking","Instance Segmentation","Semantic Segmentation","Visual Odometry","SLAM","Multi-view Geometry","Camera Models","RGB-D and LIDAR Sensor Fusion","Optical Flow"],"datePosted":"2026-10-06T04:20:05.249Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Computer Vision, Deep Learning, C++, Python, PyTorch, TensorFlow, JAX, TensorRT, ONNX, Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220000,"maxValue":292000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f1362bc5-bb1"},"title":"System Software Engineer","description":"<p>We are seeking a System Software Engineer to work on developing and integrating NVIDIA software technologies into various NVIDIA Tegra platforms, including platform bring up, driver porting and integration, use case development, and problem solving.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Work directly in developing or integrating NVIDIA automotive or embedded software technology into various NVIDIA automotive or embedded platforms.</li>\n<li>Create and implement software features.</li>\n<li>Provide deep technical assistance to customers.</li>\n<li>Assist customers to achieve fully optimized design with NVIDIA products.</li>\n<li>Provide partner feedback as to product features and software improvements.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major.</li>\n<li>Good English language skills to work effectively with global teams.</li>\n<li>Experience at Linux, QNX or Android.</li>\n<li>Background with working on embedded systems and ARM processor specific.</li>\n<li>Excellent C skills.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Excellent debugging and problem-solving skills.</li>\n<li>Self-managing and ability to break down complex problems into manageable tasks.</li>\n<li>Experience working in following areas is a plus: device drivers, multimedia, graphics, camera software stack, OpenCL, OpenCV, CUDA, Deep Learning, LLM, and AI.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f1362bc5-bb1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Taipei/System-Software-Engineer---Embedded-and-Automotive--RDSS-Intern-_JR2026965?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","Linux","QNX","Android","Embedded systems","ARM processor"],"x-skills-preferred":["device drivers","multimedia","graphics","camera software stack","OpenCL","OpenCV","CUDA","Deep Learning","LLM","AI"],"datePosted":"2026-10-06T00:16:50.286Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, Linux, QNX, Android, Embedded systems, ARM processor, device drivers, multimedia, graphics, camera software stack, OpenCL, OpenCV, CUDA, Deep Learning, LLM, AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_686be4fc-553"},"title":"AI Factory Solution Architect","description":"<p>We are looking for an AI Factory Solution Architect. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.</li>\n<li>Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.</li>\n<li>Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community.</li>\n<li>Support Development activities and engage in POCs/POVs to validate new features, and architectures.</li>\n<li>Develop solutions and showcase the AI ecosystem.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.</li>\n<li>5+ years in software development or ML engineering.</li>\n<li>Extensive ability to solve problems within the customer infrastructure.</li>\n<li>Practical expertise with on-premises Kubernetes (K8S) infrastructure-orchestration and platform.</li>\n<li>Experience working with containers and MLOps tools.</li>\n<li>Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer.</li>\n<li>Capable of working in a constantly evolving environment without losing focus.</li>\n<li>Committed with strong analytical and problem solving skills.</li>\n<li>Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Technical knowledge of developer digital platforms and their trends.</li>\n<li>Experience working with Nvidia operators.</li>\n<li>Expertise in operating Kubernetes, as well as experience writing or customizing Kubernetes configurations.</li>\n<li>Background in deploying large-scale multi-node training and inferencing pipelines.</li>\n<li>Good presentation skills</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_686be4fc-553","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Remote/Senior-Solution-Architect--MLOps---AI-Factory_JR2027112?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Kubernetes","Deep Learning","PyTorch","vLLM","TritonServer","MLOps","GPU computing"],"x-skills-preferred":["Nvidia operators","Kubernetes configurations","large-scale multi-node training and inferencing pipelines","presentation skills"],"datePosted":"2026-10-06T00:14:22.429Z","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Kubernetes, Deep Learning, PyTorch, vLLM, TritonServer, MLOps, GPU computing, Nvidia operators, Kubernetes configurations, large-scale multi-node training and inferencing pipelines, presentation skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a12a15d7-b7e"},"title":"Data Processing Developer Technology Internship","description":"<p>We&#39;re currently seeking an internship position in the Data Processing Developer Technology team. Would you enjoy researching parallel algorithms to accelerate AI and Data Processing workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA?</p>\n<p><strong>What you will be doing:</strong></p>\n<ul>\n<li>Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.</li>\n<li>Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.</li>\n<li>Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.</li>\n<li>Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree.</li>\n<li>Programming fluency in C/C++ with a deep understanding of algorithms and software development.</li>\n<li>A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.</li>\n<li>Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.</li>\n</ul>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<ul>\n<li>Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.</li>\n<li>Excellent understanding of linear algebra.</li>\n</ul>\n<p>NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a12a15d7-b7e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Data-Processing-Developer-Technology-Intern---2027_JR2024708?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":null,"x-skills-required":["C/C++","parallel programming","algorithms","software development","CUDA","OpenACC","OpenMP","MPI","pthreads"],"x-skills-preferred":["parallelization","performance optimization","Deep Learning","Natural Language Processing","Computer Vision","Recommender Systems","linear algebra"],"datePosted":"2026-10-05T00:20:11.136Z","employmentType":"INTERN","occupationalCategory":"IT","industry":"Technology","skills":"C/C++, parallel programming, algorithms, software development, CUDA, OpenACC, OpenMP, MPI, pthreads, parallelization, performance optimization, Deep Learning, Natural Language Processing, Computer Vision, Recommender Systems, linear algebra"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_14af62a6-b70"},"title":"AI/ML Computational Scientist","description":"<p>As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.</p>\n<p>You Will Be Responsible For:</p>\n<ul>\n<li>Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li>\n<li>Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li>\n<li>Customize and apply Deep Learning and Gen AI models for various use cases based on business needs, data availability, system and infrastructure requirements - including edge device and HPC</li>\n<li>Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li>\n<li>Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li>\n<li>Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li>\n<li>Justify the value of model approaches in business problems</li>\n<li>Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li>\n</ul>\n<p>Job Qualifications:</p>\n<ul>\n<li>Minimum of bachelor&#39;s degree required in a related field; strong preference for fields of study in data science, AI, statistics, economics or quantitative background</li>\n<li>Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing</li>\n<li>Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li>\n<li>Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)</li>\n<li>Experience working with language models like LLM&#39;s APIs and optimizing their usage for specific applications</li>\n<li>Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li>\n<li>Strong client-facing skillsets in a consulting environment</li>\n<li>Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li>\n<li>Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_14af62a6-b70","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Accenture","sameAs":"https://www.accenture.com","logo":"https://logos.yubhub.co/accenture.com.png"},"x-apply-url":"https://accenture.wd103.myworkdayjobs.com/en-US/AccentureCareers/job/Hong-Kong/Accenture---AI-ML-Computational-Science-Manager_R00344038?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TensorFlow","PyTorch","Machine Learning","Deep Learning","Gen AI","DevOps","MLOps","Data Science","Statistics","Computer Science"],"x-skills-preferred":["LLM's APIs","Language Models"],"datePosted":"2026-10-03T15:46:11.105Z","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Consulting","skills":"Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, Gen AI, DevOps, MLOps, Data Science, Statistics, Computer Science, LLM's APIs, Language Models"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bd383646-e40"},"title":"Generative AI Researcher","description":"<p>NVIDIA is seeking a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research.</p>\n<p>The role involves conducting ground-breaking research in generative AI methods for biomolecular design, including small molecule, protein, and RNA design, as well as other scientific applications.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Research, design, and implement novel, large-scale generative AI methods.</li>\n<li>Publish original research.</li>\n<li>Collaborate with team members, research teams, and product teams.</li>\n<li>Speak at conferences and events.</li>\n<li>Transfer technology to product groups.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)</li>\n<li>Excellent knowledge of the theory and practice of generative AI.</li>\n<li>Experience in building generative models for molecules, molecular dynamics, proteins, RNA, or other scientific data.</li>\n<li>Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).</li>\n<li>Knowledge of deep learning frameworks, such as PyTorch.</li>\n<li>Outstanding research track record.</li>\n<li>Excellent communication skills.</li>\n</ul>\n<p>The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bd383646-e40","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Research-Scientist--Fundamental-Generative-AI---New-College-Grad-2026_JR2012698?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"168,000 USD - 264,500 USD","x-skills-required":["Python","C++","CUDA","PyTorch","generative AI","deep learning"],"x-skills-preferred":[],"datePosted":"2026-10-02T23:12:39.405Z","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Python, C++, CUDA, PyTorch, generative AI, deep learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":168000,"maxValue":264500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_53648e2c-dbf"},"title":"Senior Deep Learning Scientist","description":"<p>NVIDIA is hiring Senior Deep Learning Scientists to advance our efforts in streaming and agentic multimodal AI. You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse modalities.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Apply fundamental and applied research to develop, train, fine-tune, and deploy large language models for agentic systems encompassing audio-visual reasoning, tool usage, and document understanding.</li>\n<li>Advance post-training and alignment methods including instruction tuning, preference optimization, and RLHF/RLVR/MOPD to improve multimodal agents for complex use cases.</li>\n<li>Research and develop agentic reasoning and grounded perception capabilities, focusing on planning, tool execution, and long-horizon task completion across digital and physical environments.</li>\n<li>Lead the collection, development, and benchmarking of multimodal datasets, ensuring high-quality evaluation of model accuracy, safety, and task completion success.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Master&#39;s degree (or equivalent experience) or PhD in Computer Science, AI, or Applied Math with 8+ years of relevant work experience.</li>\n<li>Excellent programming skills in Python with strong fundamentals in scalable model development and deep learning frameworks like PyTorch.</li>\n<li>Strong knowledge of ML/DL techniques and modern foundation model architectures, including Transformers and mixture-of-experts models.</li>\n<li>Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design.</li>\n<li>Hands-on experience in post-training multimodal models for omni-modality (audio-visual) reasoning, full-duplex voice chat, and human-AI interaction.</li>\n<li>Proven ability to manage model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Strong record of publications in top-tier AI and machine learning venues such as NeurIPS, ICML, ICLR, or CVPR.</li>\n<li>Validated experience training and deploying multimodal foundation models using large-scale distributed infrastructure.</li>\n<li>Experience applying deep reinforcement learning techniques to train multimodal agents in complex simulation or gaming environments.</li>\n<li>Background in audio/speech AI, especially audio language models or audio generation.</li>\n<li>Background in building embodied AI systems that integrate multimodal perception with backend action-fulfillment and long-horizon planning.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Highly competitive salaries</li>\n<li>Comprehensive benefits package</li>\n<li>Equity eligibility</li>\n</ul>\n<p>The base salary range is 184,000 USD - 287,500 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_53648e2c-dbf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Scientist--Multimodal-Agentic-RL_JR2025924?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"184,000 USD - 287,500 USD","x-skills-required":["Python","PyTorch","Deep Learning","Reinforcement Learning","Applied Mathematics","Multimodal AI"],"x-skills-preferred":["Audio/Speech AI","Embodied AI Systems","Large-Scale Distributed Infrastructure","Multimodal Foundation Models"],"datePosted":"2026-10-02T23:11:43.509Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, Deep Learning, Reinforcement Learning, Applied Mathematics, Multimodal AI, Audio/Speech AI, Embodied AI Systems, Large-Scale Distributed Infrastructure, Multimodal Foundation Models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":287500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc78e58e-0dd"},"title":"Senior Deep Learning Scientist","description":"<p>NVIDIA is seeking Senior Deep Learning Scientists to advance their efforts in streaming and agentic multimodal AI. 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241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc78e58e-0dd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Scientist--Multimodal-Agentic-RL_JR2025802?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4","x-skills-required":["Python","PyTorch","Deep Learning","Reinforcement Learning","Applied Mathematics","Multimodal AI"],"x-skills-preferred":["Audio/Speech AI","Embodied AI Systems","Multimodal Foundation Models","Large-Scale Distributed Infrastructure"],"datePosted":"2026-10-02T23:11:24.198Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, Deep Learning, Reinforcement Learning, Applied Mathematics, Multimodal AI, Audio/Speech AI, Embodied AI Systems, Multimodal Foundation Models, Large-Scale Distributed Infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":152000,"maxValue":287500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3411a2a7-d67"},"title":"Generative AI Researcher","description":"<p>NVIDIA is seeking a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research.</p>\n<p>The successful candidate will work on advancing generative AI methods for text, image, video, 3D, or scientific applications, with a focus on fundamental research and the freedom to conduct ground-breaking research.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Research, design, and implement novel, large-scale generative AI methods.</li>\n<li>Publish original research.</li>\n<li>Collaborate with team members, research teams, and product teams.</li>\n<li>Speak at conferences and events.</li>\n<li>Transfer technology to product groups.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)</li>\n<li>Excellent knowledge of the theory and practice of generative AI.</li>\n<li>Experience in building generative models for text, image, 3D, video, multimodal, biology, chemistry, or material science data.</li>\n<li>Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).</li>\n<li>Knowledge of deep learning frameworks, such as PyTorch.</li>\n<li>Outstanding research track record.</li>\n<li>Excellent communication skills.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Highly competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Equity</li>\n<li>Opportunities for professional growth and development</li>\n</ul>\n<p>The base salary range is 168,000 USD - 264,500 USD, determined based on location, experience, and the pay of employees in similar positions.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3411a2a7-d67","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Research-Scientist--Fundamental-Generative-AI---New-College-Grad-2026_JR2026739?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"168,000 USD - 264,500 USD","x-skills-required":["Python","C++","CUDA","PyTorch","generative AI","deep learning"],"x-skills-preferred":[],"datePosted":"2026-10-01T22:22:08.183Z","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Python, C++, CUDA, PyTorch, generative AI, deep learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":168000,"maxValue":264500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fd61ec02-662"},"title":"Deep Learning Performance Software Engineering Intern","description":"<p>We are seeking a Deep Learning Performance Software Engineering Intern to join our team. You will be working on developing GPU-accelerated deep learning software.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Creating and maintaining SKILL, Wiki, and agent harness</li>\n<li>Developing TileGym, Triton CUDA TileIR backend, and CUDA Tile</li>\n<li>Developing highly optimized deep learning kernels through tile-based GPU programming model</li>\n<li>End-to-end performance optimization through tile-based GPU programming model</li>\n<li>Performance optimization, analysis, and tuning</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Pursuing a degree in an engineering or computer science related field (masters or doctoral candidate preferred)</li>\n<li>Understands core components of agentic systems, including LLM APIs, prompting, tool use/function calling, agent loops, planning, reasoning, memory, RAG, skills, MCP, sub-agents, multi-agent architectures, context engineering, and harness engineering</li>\n<li>Excellent C/C++ programming and software design skills</li>\n<li>Python experience a plus</li>\n<li>MLIR experience a plus</li>\n<li>Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU</li>\n<li>GPU programming experience (CUDA or OpenCL) desired</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fd61ec02-662","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Performance-Software-Intern---2027_JR2025966?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":null,"x-skills-required":["C/C++","software design","deep learning","GPU programming"],"x-skills-preferred":["Python","MLIR","CUDA","OpenCL"],"datePosted":"2026-10-01T22:19:52.144Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, software design, deep learning, GPU programming, Python, MLIR, CUDA, OpenCL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_84cec221-711"},"title":"Software Engineer Intern","description":"<p>NVIDIA is looking for outstanding Software Engineer Interns to help develop groundbreaking technologies for AI and deep learning kernel libraries.</p>\n<p>Our team builds core software that accelerates high-impact AI workloads on NVIDIA GPUs, with a strong focus on deep learning primitives, kernel libraries, and performance-critical GPU software. As an intern on the team, you will contribute to the design, development, optimization, and delivery of software that powers NVIDIA&#39;s AI platform.</p>\n<p>This internship is centered on foundational library engineering, with opportunities to work on low-level kernels, performance primitives, and efficient implementations for modern AI and deep learning workloads. You may contribute to GPU-accelerated deep learning primitives, attention kernel implementations, runtime components, code generation systems, and other performance-critical infrastructure for large language models and advanced AI applications.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Contribute to production-quality software that ships as part of NVIDIA&#39;s AI software stack, including cuDNN, FlashInfer, and optimized support for large language model inference workloads.</li>\n<li>Help develop new AI systems technologies for efficient inference, with a focus on performance, scalability, maintainability, and usability.</li>\n<li>Support the design, implementation, and optimization of kernels for high-impact AI workloads across LLM inference, generative AI, computer vision, autonomous driving, and recommender systems.</li>\n<li>Assist in building extensible software abstractions for deep learning libraries, LLM serving engines, and runtime systems.</li>\n<li>Contribute to just-in-time compilation, code generation, and runtime technologies for performance-critical GPU workloads.</li>\n<li>Analyze workload performance, tune current software, and help propose improvements to future software and hardware-software interfaces.</li>\n<li>Collaborate closely with engineers across deep learning frameworks, libraries, kernels, compilers, and GPU architecture teams at NVIDIA.</li>\n<li>Contribute to open-source communities and ecosystem integrations where relevant, including projects such as FlashInfer, vLLM, and SGLang.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Currently pursuing a Bachelor&#39;s, Master&#39;s, or PhD degree in Computer Science, Electrical Engineering, or a related field.</li>\n<li>Coursework, research, or hands-on project experience in machine learning, deep learning systems, compilers, systems software, or GPU programming.</li>\n<li>Strong programming skills in C/C++ and Python.</li>\n<li>Familiarity with CUDA development and GPU programming fundamentals.</li>\n<li>Experience developing with or using deep learning frameworks such as PyTorch, JAX, TensorFlow, or ONNX.</li>\n<li>Understanding of linear algebra, performance analysis, profiling, and code optimization.</li>\n<li>Interest in software abstractions, APIs, and higher-level system architecture for performance-sensitive systems.</li>\n<li>Interest in modern machine learning and inference system trends, especially around LLMs and generative AI.</li>\n<li>Strong problem-solving skills, curiosity, and the ability to work effectively in a collaborative environment.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hands-on experience with inference engines and runtimes such as vLLM, SGLang, MLC, TensorRT-LLM, or similar systems.</li>\n<li>Background in domain-specific compilers, code generation, or library solutions for LLM inference and training.</li>\n<li>Exposure to machine learning compilers or IR systems such as MLIR, Apache TVM, TensorIR, or related technologies.</li>\n<li>Practical experience with GPU performance modeling, computer architecture, or accelerator-oriented software design.</li>\n<li>Open-source project ownership or meaningful contributions in deep learning systems, compilers, kernels, or inference infrastructure.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_84cec221-711","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-Engineer-Intern--AI-and-DL-Kernel-Libraries---2027_JR2026307?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["C/C++","Python","CUDA","GPU programming","Machine learning","Deep learning"],"x-skills-preferred":["Inference engines","Domain-specific compilers","Code generation","GPU performance modeling","Open-source project contributions"],"datePosted":"2026-10-01T22:19:41.170Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, Python, CUDA, GPU programming, Machine learning, Deep learning, Inference engines, Domain-specific compilers, Code generation, GPU performance modeling, Open-source project contributions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_be465cde-be7"},"title":"Senior Software Engineer","description":"<p>We&#39;re looking for a Senior Software Engineer to work on state-of-the-art autonomous vehicle technologies in AI/deep learning, computer vision, mapping, prediction, and vehicle control.</p>\n<p>You will be responsible for developing, maintaining, and integrating components of AV stack. You will work with cross-functional teams within NVIDIA as well as OEM partners locally.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, develop, optimize components of NVIDIA&#39;s AV stack and integrate on OEM platforms, taking features from prototype to production performance.</li>\n<li>Evaluate and tune feature performance across OEM carlines, platforms, regions, ODDs, and sensor configurations, ensuring that KPIs reflect real-world performance.</li>\n<li>Triage complex feature issues, identify root causes using simulation, replay tools, vehicle logs, and on-vehicle diagnostics and drive end-to-end resolution in collaboration with customer engineering teams.</li>\n<li>Develop AI-assisted tools for large-scale replay, KPI evaluation, issue classification, root-cause analysis, and regression detection</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS/PhD or equivalent experience in Computer Science, Electrical Engineering, Robotics, Mathematics, Physics, or a related field, with 5+ years of relevant industry experience.</li>\n<li>Strong C/C++ and QNX/Linux skills, including modern C++, data structures, debugging, software design, and performance optimization in real-time embedded/control systems.</li>\n<li>Deep expertise in one or more components of AV stack , Perception, Mapping, Planning &amp; Control.</li>\n<li>Ability to communicate clearly and collaborate effectively across global teams and more importantly with OEM partners.</li>\n<li>A proactive, self-driven, owner mindset.</li>\n<li>Travel within EU and internationally for vehicle testing and OEM collaboration as needed.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience delivering one or more components of production grade AV stack: Perception, Fusion, Mapping, Planning &amp; Control.</li>\n<li>Hands-on deep learning experience , model training, evaluation, and optimisation under production-grade deployment constraints.</li>\n<li>Advanced control theory , classical, nonlinear, MPC, or optimal control , applied to real vehicle behavior.</li>\n<li>Certified test driver experience in Europe.</li>\n</ul>\n<p>NVIDIA offers highly competitive salaries and a comprehensive benefits package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_be465cde-be7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Senior-Software-Engineer---AV-Components_JR2026191?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C/C++","QNX/Linux","Computer Science","Electrical Engineering","Robotics","Mathematics","Physics","AI/deep learning","computer vision","mapping","prediction","vehicle control"],"x-skills-preferred":["deep learning","model training","evaluation","optimisation","advanced control theory","certified test driver experience"],"datePosted":"2026-10-01T22:18:28.129Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, QNX/Linux, Computer Science, Electrical Engineering, Robotics, Mathematics, Physics, AI/deep learning, computer vision, mapping, prediction, vehicle control, deep learning, model training, evaluation, optimisation, advanced control theory, certified test driver experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_83662c28-d9a"},"title":"Research Intern - Autonomous Vehicles, Robotics, and Physical AI","description":"<p>We are recruiting outstanding Research Interns to work on autonomous vehicles, robotics, and physical AI!</p>\n<p>Intelligent machines that can perceive, reason, and safely interact with people and the physical world are rapidly becoming a reality. Self-driving cars, autonomous delivery and construction vehicles, mobile manipulators, and other robotic systems are moving closer to widespread deployment. However, fundamental research challenges remain before these systems can operate safely, reliably, and autonomously in complex, unfamiliar environments.</p>\n<p>For example, how can we:</p>\n<ul>\n<li>Develop new training paradigms that use perception and interaction to train autonomous vehicle and robot policies in closed loop?</li>\n<li>Equip autonomous systems with online and offline assurances that meet the requirements of safety-critical applications?</li>\n<li>Enable vehicles and robots to navigate across new environments, tasks, and embodiments?</li>\n<li>Build systems that reason under uncertainty and interact safely and naturally with people and other agents?</li>\n</ul>\n<p>These are some of the exciting questions being explored by NVIDIA’s Autonomous Systems and Physical AI Research (ASPIRE) group. Our diverse, interdisciplinary team conducts foundational research spanning foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI development. We also investigate related areas including decision-making under uncertainty, deep learning, reinforcement learning, simulation, and the verification and validation of safety-critical AI systems.</p>\n<p>Our focus is on fundamental research, and lab members are encouraged to publish their work and open-source their code. NVIDIA is known for its collaborative culture, and our researchers work closely with experts across the company in autonomous vehicles, robotics, perception, simulation, and machine learning. This creates opportunities to influence real-world products while retaining the freedom and bandwidth to conduct groundbreaking, publishable research.</p>\n<p><strong>What you’ll be doing:</strong></p>\n<ul>\n<li>Designing and implementing cutting-edge techniques for autonomous vehicles, robotics, and physical AI.</li>\n<li>Conducting original research and publishing your results.</li>\n<li>Collaborating with research colleagues, internal product teams, and external researchers.</li>\n<li>Transferring technology you’ve developed to relevant product groups.</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field.</li>\n<li>Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.</li>\n<li>Strong knowledge of the theory and practice of vehicle or robot autonomy,or expertise in a related area, with a strong interest in applying your work to autonomous systems.</li>\n<li>A track record of research excellence, demonstrated through publications at leading conferences and journals,and through other research artifacts such as open-source software.</li>\n<li>Exceptional Python programming skills; experience with C++ and parallel programming, such as CUDA, is a plus.</li>\n<li>Experience with machine learning frameworks such as PyTorch.</li>\n<li>Strong communication and interpersonal skills are required, along with the ability to thrive in a dynamic, research-focused team.</li>\n</ul>\n<p>Are you intellectually curious, collaborative, and motivated to solve complex problems at the intersection of AI and the physical world? 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Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p>The Creative Innovations team at Electronic Arts develops core pipeline technologies that power character deformation, facial rigging, and digital likeness across global franchises. As an AI Engineer Intern embedded with our character pipeline group, you will focus on developing, prototyping, and integrating machine learning models and neural networks directly into production animation workflows. You will collaborate with software engineers, technical artists, and AI scientists to build practical, intelligent tools that automate complex character deformation and enhance artist workflows.</p>\n<p>You will design, train, and evaluate machine learning models tailored for 3D character deformation and automated facial performance. Rather than working solely on ingestion infrastructure, you will write application code and train neural networks using both raw 3D capture data that requires cleaning and high-fidelity, artist-tuned reference assets. You will build and refine models that predict blendshapes, create mesh deformations, and automate landmark tracking, ensuring that model predictions align with artist intent and production quality standards.</p>\n<p>In addition to core model development, you will integrate these AI systems into our modern character pipeline stack. You will write clean, production-quality Python code, using USD schemas to connect training environments with digital content creation software such as Autodesk Maya and Houdini. You will package and deploy your code and model environments using Docker to ensure execution across local workstations and cloud platforms (such as Amazon Web Services services). You will also use and experiment with AI developer agents to accelerate coding, testing, and pipeline automation tasks.</p>\n<p>Requirements:</p>\n<ul>\n<li>You are enrolled in a bachelor&#39;s degree program in Computer Science, Artificial Intelligence, Machine Learning, Computer Graphics, or a related technical discipline.</li>\n<li>You have practical programming skills in Python and a solid conceptual and applied foundation in machine learning, specifically around deep learning and neural network architectures.</li>\n<li>Experience training, evaluating, and fine-tuning models using frameworks such as PyTorch or TensorFlow is necessary, along with a practical approach to handling both noisy raw data and curated datasets.</li>\n<li>You have a working knowledge of fundamental 3D geometry concepts, linear algebra, and coordinate transformations as they apply to mesh topology and deformation.</li>\n<li>Practical experience containerizing applications with Docker and collaborating through Git and modern version control platforms is required.</li>\n<li>Familiarity with USD, digital content creation APIs in Maya or Houdini, model inference optimization, or the effective prompting and use of AI coding agents will help you ramp up quickly.</li>\n<li>Most importantly, you bring clear technical communication and a genuine enthusiasm for applying artificial intelligence to creative character technology.</li>\n</ul>\n<p>Benefits: Electronic Arts offers a comprehensive benefits package, including medical insurance, mental wellness support, pension plans, paid time off, family leave, free games, and more. We foster environments where our teams can give their best in what they do.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5e83403f-05b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/es_ES/careers/JobDetail/AI-Engineer-Intern/216236?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","Machine Learning","Deep Learning","Neural Networks","PyTorch","TensorFlow","Docker","Git","USD","Autodesk Maya","Houdini","3D Geometry","Linear Algebra","Coordinate Transformations"],"x-skills-preferred":["Digital Content Creation APIs","Model Inference Optimization","AI Coding Agents"],"datePosted":"2026-09-23T19:19:40.703Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, British Columbia"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Deep Learning, Neural Networks, PyTorch, TensorFlow, Docker, Git, USD, Autodesk Maya, Houdini, 3D Geometry, Linear Algebra, Coordinate Transformations, Digital Content Creation APIs, Model Inference Optimization, AI Coding Agents"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_66f74abd-e80"},"title":"Technical Program Manager","description":"<p>The LPU Software Team at NVIDIA is seeking a Technical Program Manager to lead software initiatives across the LPU SDK. 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The base salary range is $108,000 - $184,000 for Level 2, and $136,000 - $212,750 for Level 3. 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Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team which is building the inferencing software which will be used across our product lines! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance</li>\n<li>Performance analysis, optimization and tuning</li>\n<li>Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM</li>\n<li>Provide feedback into the architecture and hardware design and development</li>\n<li>Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams</li>\n<li>Publish key results in scientific conferences</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Pursuing a Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree</li>\n<li>Relevant software development experience</li>\n<li>Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design</li>\n<li>Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models</li>\n<li>Experience working with deep learning frameworks like TensorFlow and PyTorch</li>\n<li>Proactive and able to work without supervision</li>\n<li>Excellent written and oral communication skills in English</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6a6d55ba-f1f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/AI-Computing-Development-Intern--TensorRT-LLM---2027_JR2026160?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"internship","x-job-type":"internship","x-salary-range":null,"x-skills-required":["C/C++","software design","debugging","performance analysis","test design","artificial intelligence","deep learning","TensorFlow","PyTorch"],"x-skills-preferred":[],"datePosted":"2026-09-23T18:26:53.385Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, software design, debugging, performance analysis, test design, artificial intelligence, deep learning, TensorFlow, PyTorch"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_01b937f7-0b4"},"title":"Lead Product Strategist","description":"<p>We are looking for a visionary, upbeat lead product strategist to reshape the future of client computing for advanced workflows in the booming Embedded market.</p>\n<p>You will own a brand new portfolio of discrete GPU and long-life board technologies. These power AI, virtual reality, visualization, photorealistic rendering, and more. You will also manage the marquee client connections and lifecycle programs that make NVIDIA the platform of choice for builds that must ship for a decade.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the Customers: Serve as the trusted point of contact for a portfolio of marquee accounts , including leaders in aerospace, robotics, autonomy, healthcare, and gaming , building executive-level 1:1 relationships and turning that trust into expanded, committed business.</li>\n<li>Grow the Business: Drive new design wins and expand adoption into adjacent use cases, converting evaluations into multi-year, multi-thousand-unit volume.</li>\n<li>Own the Long-Life Franchise: Run NVIDIA&#39;s long-life board program end-to-end , negotiating and administering paid long-life support agreements, managing last-time-buy (LTB) planning, reserved-inventory commitments, and end-of-life (EOL) transitions that guarantee supply for up to a decade, and pricing the premium lifecycle support customers depend on and pay for.</li>\n<li>Partner with Sales, Finance, and Operations to build commercial terms. These include custom ASPs, volume price reductions, and extended supply agreements. The goal is to win business while protecting margin.</li>\n<li>Build the Future: Collect raw feedback from global clients and collaborators. Use this input to compose next-generation products and set priorities for the engineering roadmap, such as ARM support, power-saving features, and custom memory configurations.</li>\n<li>Crush the Competition: Analyze the competitive landscape , dissecting features, benchmarking performance, and improving the value proposition of the embedded portfolio.</li>\n<li>Lead the Charge: Orchestrate high-impact collaborations across Engineering, Operations, Sales, Campaign teams, and ODM/AIB partners (PC Partner, Advantech, PNY, ADLink) to drive massive New Product Introductions (NPI).</li>\n<li>Own the Lifecycle: Run the entire product lifecycle from initial concept to launch, scale, long-life support, and strategic transition.</li>\n<li>Bridge the Gap: Act as the ultimate translator, turning deep technical GPU milestones into high-value business wins for senior executives and partners.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>The Foundation: BS/MS in engineering (or equivalent experience).</li>\n<li>The Track Record: Over 12 years of experience leading advanced hardware and software platforms. Proven ability to manage customer relationships and increase revenue and account growth.</li>\n<li>The Approach: An MBA or equivalent experience that blends sharp technical depth with strong business insight , comfortable structuring pricing, discounts, and multi-year supply commitments.</li>\n<li>The Long View: Experience with product lifecycle management , EOL, last-time-buys, long-life supply planning, and inventory/BOM management , is a significant advantage.</li>\n<li>The Execution: Strong analytical and project management skills to solidify rock-solid recommendations for senior management.</li>\n<li>The Drive: A self-starter attitude with the ability to multi-task, prioritize, and thrive inside a fast-paced environment.</li>\n<li>The Voice: Exceptional communication and presentation skills, plus a readiness to travel (minimum 25%) to meet customers and partners where they are.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>You have a proven history of launching technical products and managing them through their full lifecycle , including long-life and supply-assurance programs.</li>\n<li>Has a history of being the person a fast paced, sophisticated customer calls first , and you&#39;ve turned that relationship into new revenue.</li>\n<li>Exhibits deep, authentic curiosity about the AI landscape and love tearing down rival products to find the winning edge.</li>\n<li>Possess an intimate understanding of how developers and customers use GPUs to create, design, and explore in the Embedded space.</li>\n<li>Exhibits a solid grasp of artificial intelligence, machine learning, and deep learning techniques to revolutionize customer workflows.</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.</p>\n<p>You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_01b937f7-0b4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Product-Manager---Embedded-AI-and-Next-Gen-Computing_JR2026204-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"184,000 USD - 287,500 USD","x-skills-required":["AI","GPU","embedded systems","product lifecycle management","project management"],"x-skills-preferred":["artificial intelligence","machine learning","deep learning","technical product management"],"datePosted":"2026-09-23T18:26:38.812Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, GPU, embedded systems, product lifecycle management, project management, artificial intelligence, machine learning, deep learning, technical product management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":287500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c8a22826-8f9"},"title":"Intern - AI Computing Platforms","description":"<p>NVIDIA is seeking interns to contribute to building AI computing platforms that drive innovation across industries. As an intern, you&#39;ll focus on one of three specialized tracks:</p>\n<p><strong>TensorRT LLM – Inference Optimization (Python / PyTorch)</strong> Build and enhance high-performance LLM inference pipelines. Analyze and optimize model execution, scalability, and memory usage. Collaborate across framework and research teams to deliver efficient multi-GPU model serving.</p>\n<p><strong>TensorRT Compiler – Graph Optimization (C++)</strong> Work on the TensorRT compiler backend to improve graph transformations and code generation for NVIDIA GPUs. Develop compiler optimization passes, refine operator fusion and memory allocation, and collaborate with CUDA and hardware architecture teams.</p>\n<p><strong>CuTe DSL &amp; CUDA Kernels Development / Optimization (CUDA C++ / Python DSL)</strong> Design and tune GPU compute kernels and DSL implementations for core deep learning operations such as GEMM, MoE, Attention and Convolution. 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As a deep learning library performance software intern, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Writing highly tuned compute kernels to perform core deep learning operations (e.g., matrix multiplies, MoE, Attention)</li>\n<li>Following general software engineering best practices, including support for regression testing and CI/CD flows</li>\n<li>Collaborating with teams across NVIDIA:</li>\n<li>Compiler team on generating optimal assembly code</li>\n<li>Deep learning training and inference performance teams on which layers require optimization</li>\n<li>Hardware and architecture teams on the programming model for new deep learning hardware features</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Pursuing Masters or PhD degree in Computer Science, Computer Engineering, Applied Math, or related field</li>\n<li>Demonstrated strong programming and software design skills, including debugging, performance analysis, and test design</li>\n<li>Experience with performance-oriented parallel programming, even if it&#39;s not on GPUs (e.g., with OpenMP or pthreads)</li>\n<li>Solid understanding of computer architecture and some experience with assembly programming</li>\n<li>Identify bottlenecks, optimize resource utilization, and improve throughput.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Tuning deep learning library kernel code</li>\n<li>CUDA GPU programming</li>\n<li>Numerical methods and linear algebra</li>\n<li>LLVM, TVM tensor expressions, or TensorFlow MLIR</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_50a17c70-a93","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Performance-Software-Intern--Deep-Learning-Libraries---2027_JR2026171?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":null,"x-skills-required":["parallel programming","computer architecture","assembly programming","software design","debugging"],"x-skills-preferred":["deep learning","CUDA GPU programming","linear algebra","LLVM","TVM tensor expressions","TensorFlow MLIR"],"datePosted":"2026-09-23T18:26:24.547Z","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"parallel programming, computer architecture, assembly programming, software design, debugging, deep learning, CUDA GPU programming, linear algebra, LLVM, TVM tensor expressions, TensorFlow MLIR"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4d03a4fa-7e8"},"title":"Software Development Engineer","description":"<p>We are now looking for a Software Development Engineer to help TensorRT LLM and TensorRT Edge LLM projects! NVIDIA is hiring software engineers for its AI Computing team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and GenerativeAI that has put DL at the “iPhone moment” for AI. Join the team which is building the inferencing software which will be used across our product lines! 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The salary range for this role is $381K – $555K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.</p>\n<p>Benefits include:</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n<li>401(k) retirement plan with employer match</li>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time</li>\n<li>Mental health and wellness support</li>\n<li>Employer-paid basic life and disability coverage</li>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n<li>Relocation support for eligible employees</li>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Monetization team is a new cross-functional group working across engineering, product, research, and design to build foundational systems that will help OpenAI scale access to intelligence responsibly. The team&#39;s mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI&#39;s long-term innovation.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Machine Learning Engineer in OpenAI&#39;s Monetization Group, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. 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model performance, efficiency, and scale.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems.</li>\n<li>Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency.</li>\n<li>Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities.</li>\n<li>Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities.</li>\n<li>Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement.</li>\n<li>Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy.</li>\n<li>Support NVIDIA participation in major AI, ML, and systems research venues through technical content, workshops, university engagements, and lab-facing programs.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research experience.</li>\n<li>5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands-on experience in AI.</li>\n<li>Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research.</li>\n<li>Strong understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving.</li>\n<li>Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows.</li>\n<li>Technical fluency in scalable AI systems, including distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, and cost-performance tradeoffs.</li>\n<li>Familiarity with methods that improve model efficiency and performance, such as quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data generation, RLHF/RLAIF, and preference optimization.</li>\n<li>Ability to engage top academic labs on frontier research challenges, including scaling behavior, compute efficiency, model quality, benchmark methodology, reproducibility, reliability, and research impact.</li>\n<li>Demonstrated research credibility through publications, open-source contributions, academic collaborations, technical leadership, or direct work on frontier AI systems.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with NVIDIA AI platforms, including CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, or NVIDIA AI Enterprise.</li>\n<li>Established relationships with leading AI labs, academic institutions, research institutes, benchmark communities, or major open-source AI projects.</li>\n<li>Track record translating frontier AI research into demos, tutorials, reference architectures, workshops, technical blogs, or developer enablement programs.</li>\n<li>Experience presenting at venues such as NeurIPS, ICML, ICLR, CVPR, AAAI , or related research workshops.</li>\n<li>Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_839732e3-f3a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Developer-Relations-Manager--Higher-Education-and-Research---Foundational-AI_JR2026229?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4","x-skills-required":["AI","Machine Learning","Deep Learning","PyTorch","JAX","distributed training frameworks","inference systems","model serving platforms","GPU-accelerated workflows"],"x-skills-preferred":["NVIDIA AI platforms","CUDA","CUDA-X libraries","TensorRT-LLM","Triton Inference Server","NIM","NeMo","Megatron","Transformer Engine","NCCL","DGX","NVLink","InfiniBand","NVIDIA AI Enterprise"],"datePosted":"2026-09-22T18:24:01.943Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Deep Learning, PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, GPU-accelerated workflows, NVIDIA AI platforms, CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, NVIDIA AI Enterprise","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":152000,"maxValue":287500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6329e579-e85"},"title":"PhD-candidate Intern - Robotics Research","description":"<p>NVIDIA&#39;s Seattle Robotics Lab is seeking PhD-candidate interns to contribute to research efforts in robotics and AI. The lab focuses on developing technology that can enable any company to become a robotics company.</p>\n<p>The intern will work on projects such as developing algorithms, foundation models, and methods for robotic manipulation and/or loco-manipulation, integrating these methods into real-world robotic manipulation systems, contributing to multi-person research projects, engaging with the academic community through publications and conferences, and developing AI agents.</p>\n<p>The ideal candidate will be enrolled in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, have knowledge of robotics and AI theory and practice, and a demonstrated track record of research and publication.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Developing algorithms, foundation models, and methods for robotic manipulation and/or loco-manipulation</li>\n<li>Integrating methods into real-world robotic manipulation systems</li>\n<li>Contributing to multi-person research projects</li>\n<li>Engaging with the academic community through publications and conferences</li>\n<li>Developing AI agents</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Enrolled in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field</li>\n<li>Knowledge of robotics and AI theory and practice</li>\n<li>Demonstrated track record of research and publication</li>\n<li>Exceptional communication, collaboration, and interpersonal skills</li>\n<li>Exceptional programming skills in Python; familiarity with C++, CUDA, and Warp is a plus</li>\n<li>Fluency in modern deep learning frameworks such as PyTorch or JAX</li>\n<li>Experience in AI coding and research agents</li>\n<li>Experience with robotics frameworks such as ROS2 and physics simulation frameworks</li>\n</ul>\n<p>The internship offers a competitive hourly rate of $38-$94, depending on position, location, year in school, degree, and experience. Benefits are also provided.</p>\n<p>Applications will be accepted until September 25, 2026.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6329e579-e85","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Seattle/Research-Intern--Robotics---Summer-2027_JR2025647?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":"$38-$94 per hour","x-skills-required":["Python","C++","CUDA","Warp","PyTorch","JAX","ROS2","Isaac Sim","Newton","MuJoCo"],"x-skills-preferred":["robotics","machine learning","AI","deep learning"],"datePosted":"2026-09-22T18:23:48.652Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, CUDA, Warp, PyTorch, JAX, ROS2, Isaac Sim, Newton, MuJoCo, robotics, machine learning, AI, deep learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1684a9b-a51"},"title":"Solutions Engineer - Autonomous Vehicles","description":"<p>Join NVIDIA&#39;s Solutions Engineering team, which is reshaping the future of driving by building and deploying scalable solutions for autonomous vehicles, creating safer and more efficient roads.</p>\n<p>You will help craft the application software architecture by working closely with external partners and internal teams within NVIDIA, focusing on autonomous vehicles. You will advance and refine the overall drivability of the solution, addressing integration challenges and using analytical skills to find effective solutions.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Shape the application architecture, focusing on perception and sensor fusion, collaborating with architecture and software development teams.</li>\n<li>Integrate and adapt NVIDIA solutions in target vehicles, ensuring perception and sensor fusion meet desired driving performance and functionality.</li>\n<li>Lead bring-up activities and provide technical support to resolve functional and perception-related issues.</li>\n<li>Perform in-vehicle and simulation test drives for functional and performance analysis.</li>\n<li>Work with partners to integrate hardware and software components, understand system architecture, profile performance, identify bottlenecks, and drive optimization.</li>\n<li>Collaborate with global engineering teams to deploy solutions to customers.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5+ years of experience in software development related to deep learning and/or autonomous driving technologies.</li>\n<li>Experience developing and deploying deep learning-based perception solutions across diverse sensor modalities.</li>\n<li>Familiarity with data flywheel for scaling deep learning-based perception solutions.</li>\n<li>Solid grasp of sensor processing pipelines and their lifecycle.</li>\n<li>BS/MS in computer science, robotics, electrical engineering, or related technical field.</li>\n<li>Excellent C/C++ development skills with good knowledge of Python.</li>\n<li>Ability to adapt to fast-paced development lifecycles and multi-functional organizations.</li>\n<li>Strong analytical skills, striving for innovative solutions, with outstanding attention to detail.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience with automotive design processes and standards (e.g., ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE).</li>\n<li>Familiarity with NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming.</li>\n<li>Software development experience on QNX or equivalent RTOS.</li>\n<li>Contributions to or ownership of open-source projects and mentorship experience.</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b1684a9b-a51","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applications-Software-Engineer--Perception-and-Sensor-Fusion_JR2026097?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4","x-skills-required":["C/C++","Python","deep learning","autonomous driving","sensor processing pipelines"],"x-skills-preferred":["automotive design processes","NVIDIA DRIVE platform","CUDA programming","QNX or equivalent RTOS","open-source projects"],"datePosted":"2026-09-22T18:22:44.576Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, Python, deep learning, autonomous driving, sensor processing pipelines, automotive design processes, NVIDIA DRIVE platform, CUDA programming, QNX or equivalent RTOS, open-source projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":152000,"maxValue":287500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fc2f55f1-499"},"title":"Staff Software Engineer, Machine Learning (Consumer Revenue)","description":"<p>Discord is seeking a Staff Machine Learning Engineer to join its Consumer Revenue ML team. The team applies Machine Learning across Discord&#39;s core revenue surfaces, building ranking, targeting, and recommendation systems that connect users to the right products, subscriptions, and content.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>8+ years of experience in applied Machine Learning, with an inclusive Ph.D. or Master&#39;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.</li>\n<li>Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g., two-tower, transformer-based models, multi-task learning).</li>\n<li>Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.</li>\n<li>A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale.</li>\n<li>Strong product and business intuition, with the ability to translate experiment results into roadmap decisions.</li>\n<li>Excellent communication and collaboration skills , able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned.</li>\n<li>The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams.</li>\n<li>Familiarity with personalized marketing systems , lifecycle targeting, audience segmentation and lookalikes, campaign optimization.</li>\n<li>Deep expertise in distributed training (e.g., PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g., Chronon, Spark, Flink).</li>\n</ul>\n<p>This position is US-based and can be remote, but if you live in the Bay Area, you&#39;re welcome to work from our beautiful SF office. The US base salary range for this full-time position is $272,000 to $340,000 + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fc2f55f1-499","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Discord","sameAs":"https://discord.com","logo":"https://logos.yubhub.co/discord.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/discord/jobs/8802354002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$272,000 to $340,000","x-skills-required":["Machine Learning","Deep Learning","Python","PyTorch","JAX","TensorFlow","Distributed Training","Large-scale Data Processing"],"x-skills-preferred":["Personalized Marketing Systems","Lifecycle Targeting","Audience Segmentation","Lookalikes","Campaign Optimization"],"datePosted":"2026-09-22T18:10:07.676Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Python, PyTorch, JAX, TensorFlow, Distributed Training, Large-scale Data Processing, Personalized Marketing Systems, Lifecycle Targeting, Audience Segmentation, Lookalikes, Campaign Optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":272000,"maxValue":340000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9cdfa13-8c2"},"title":"Senior Synthetic Data Engineer","description":"<p>Autonomous vehicles are redefining the way we live, work, and play,creating safer and more efficient roads. These ground-breaking benefits require substantial computational horsepower and large-scale production software expertise. Tapping into decades-long experience in high-performance computing, imaging, and AI, NVIDIA has built a software-defined, end-to-end platform for the transportation industry that enables continuous improvement and deployment through over-the-air updates. It delivers everything needed to develop autonomous vehicles at scale.</p>\n<p>Simulation allows us to test an autonomous vehicle in nearly infinite conditions and scenarios. This happens before the vehicle reaches the road. It speeds up development and improves the system&#39;s reliability. NVIDIA Omniverse NuRec and Cosmos are starting a new chapter for autonomous-driving simulation. NuRec converts real-world sensor data into high-fidelity, simulation-ready driving environments. Cosmos world models generate, complete, and evaluate dynamic driving scenes, novel viewpoints, long-tail trajectories, and controlled scenario variations beyond the original sensor path.</p>\n<p>We seek a Senior Synthetic Data Engineer to join the NVIDIA DRIVE team and contribute to automotive innovation. In this important role, you will collaborate with technical leaders in autonomous driving, NuRec, Cosmos, and sensor simulation. Together, you will design and develop a simulation environment that pushes forward autonomous vehicle technology.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build, implement, and optimize tools to generate synthetic data for training different deep learning DRIVE networks, including simulated lidar, radar, camera/RGB-D, bounding boxes, object tracks, world models, segmentation, depth, scene semantics, and sensor metadata.</li>\n<li>Develop lidar and radar sensor simulation workflows that run against NuRec reconstructed driving worlds and Cosmos-generated environments, including sensor placement, calibration, material response, geometry handling, noise modeling, and scenario variation.</li>\n<li>Develop Cosmos world model for better world generation, encompassing controllable scenario generation, novel view synthesis, trajectory extrapolation, scene completion, quality triage, regression detection, and controllability evaluation.</li>\n<li>Collect perception, planning, and deep learning DRIVE network requirements and match them to current synthetic data and sensor simulation features. Develop new tools and improve performance when gaps are found.</li>\n<li>Develop dataset quality assessments and synthetic-real comparison procedures that evaluate sensor realism, annotation quality, distribution coverage, scenario diversity, and sim-to-real transfer for autonomous driving.</li>\n<li>Set up, profile, and supervise large-scale NuRec, Cosmos, and sensor simulation pipelines in data center or cloud environments.</li>\n<li>Debug cross-stack systems spanning sensors, reconstruction models, world models, simulation runtime, GPU workloads, distributed data services, and downstream autonomous-driving workloads.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Applied Math, Physics, or a related field (or equivalent experience).</li>\n<li>8+ years of experience in computer graphics, computer vision, autonomous driving, sensor simulation, neural rendering, or physically-based sensor modeling, synthetic data generation, or closely related software engineering roles.</li>\n<li>Strong Python and C++ skills, with experience building, debugging, profiling, and maintaining production-quality systems on Linux.</li>\n<li>Solid mathematical foundation in linear algebra, geometry, probability.</li>\n<li>Familiarity with synthetic data annotations, data formats, dataset curation, data augmentation, and evaluation workflows for perception model training and validation.</li>\n<li>Familiarity with deep learning workflows and modern ML tooling, with enough practical understanding to translate network needs into synthetic data requirements and measurable quality criteria.</li>\n<li>Experience with scalable engineering workflows including Git, Docker, Kubernetes, CI/CD, distributed storage, and deployment in data centers or cloud environments.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Practical experience working directly with NVIDIA NuRec, Cosmos, world foundation models, Real2Sim systems, or autonomous-driving simulation and validation pipelines.</li>\n<li>Experience in NuRec world reconstruction, neural rendering, 3D Gaussian Splatting, NeRFs, or occupancy networks.</li>\n<li>Deep lidar or radar simulation expertise, such as ray tracing or ray casting, reflectance and intensity modeling, Doppler, radar cross-section, weather effects, occlusion, and sensor-specific noise models.</li>\n<li>Experience developing synthetic data pipelines for autonomous driving, closed-loop simulation, domain randomization, long-tail scenario mining, or sim-to-real transfer.</li>\n<li>Familiarity with autonomous vehicle data pipelines, OpenDRIVE, HD maps, scenario formats, vehicle dynamics, or AV safety validation.</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 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As a Senior Software Control Integration Engineer, you will work on state-of-the-art autonomous vehicle technologies with leaders in AI / deep learning, computer vision, and vehicle control.</p>\n<p>You will be responsible for developing, maintaining and integrating autonomous auto control algorithms and software. You will develop solutions for vehicle trajectory tracking, model predictive control, and vehicle state estimation. You should have strong analytical skills, good communication, and interpersonal capabilities to work in a team and make a joint effort towards a common goal. Prior knowledge about vehicle control, vehicle ECU, Drive-by-Wire systems, and in-vehicle network and autonomous vehicles are highly valued.</p>\n<p><strong>What you’ll be doing:</strong></p>\n<ul>\n<li>Contribute to the development related to vehicle dynamics and control and support other teams in such areas, e.g. ACC/LK, urban driving, trajectory planning, vehicle operation limit estimation, emergency maneuvers (collision avoidance, mitigation), etc.</li>\n<li>Design technologies needed to build Autonomous Vehicle software stack, write new software modules from scratch that drive our vehicles.</li>\n<li>Provide feedback for overall system design to product level: system architecture, failure mode, system redundancy, etc.</li>\n<li>Build new performance offline and online benchmarks for vehicle control.</li>\n<li>Define and build tools to tune our vehicle dynamics control and manage calibration updates for various vehicle types.</li>\n<li>Drive integration efforts of control functionality across different platforms, support troubleshooting of control and actuation issues in vehicles.</li>\n<li>Develop and maintain vehicle test suites to detect control integration problems, develop and maintain automated tests to ensure SW quality and prevent regressions.</li>\n<li>Most importantly, work on groundbreaking and innovative technology, tackle difficult problems, and help build a world-class system!</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science or equivalent experience</li>\n<li>8+ years of work experience in relevant fields</li>\n<li>Knowledge and hands-on application background in control theories, including at least three of the following fields: classical control, modern control, nonlinear control, MPC, optimal control, robust control, sliding mode control.</li>\n<li>Understanding of state estimation techniques such as Luenberger observer, kalman filter, etc.</li>\n<li>Ability to develop vehicle models and perform parameter identification and benchmarking.</li>\n<li>Knowledge of high-level algorithm design and prototyping in simulation environments (Matlab/Simulink/Python) to product oriented implementation with C/C++.</li>\n<li>Experience in architectural design and software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems.</li>\n<li>Understanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests.</li>\n<li>Experience of integrating, tuning, and validating prototype and/or production control software with application, driver, and vehicle network layers.</li>\n<li>Experience of development and/or usage of in-vehicle control software verification and calibration tools for autonomous vehicle applications.</li>\n</ul>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<ul>\n<li>Hands-on experience in autonomous vehicle or advanced driver assist system development such as lane keeping, adaptive cruise control, etc.</li>\n<li>Background in automotive safety concept, failure mode, common analysis tools such as FMEA</li>\n<li>Experience in developing and launching vehicle safety critical control system products such as powertrain, steering system, brake system, advanced driver assist system, etc.</li>\n<li>Understanding of deep learning and neural network concepts</li>\n<li>12+ years engineering experience at automotive OEM, tier-1 supplier or autonomous driving start-ups</li>\n<li>PhD with relevant experience</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.</p>\n<p>You will also be eligible for equity and benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8965c105-17a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Control-Integration-Engineer---Autonomous-Vehicles_JR2025121?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5","x-skills-required":["control theories","classical control","modern control","nonlinear control","MPC","optimal control","robust control","sliding mode control","state estimation techniques","Luenberger observer","kalman filter","vehicle models","parameter identification","benchmarking","high-level algorithm design","prototyping","simulation environments","Matlab/Simulink/Python","C/C++","architectural design","software development","real-time embedded control systems","vehicle ECU systems","test and verification methodologies","automotive software","unit and system level tests"],"x-skills-preferred":["autonomous vehicle or advanced driver assist system development","lane keeping","adaptive cruise control","automotive safety concept","failure mode","common analysis tools","FMEA","deep learning","neural network concepts"],"datePosted":"2026-09-21T18:12:52.718Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"control theories, classical control, modern control, nonlinear control, MPC, optimal control, robust control, sliding mode control, state estimation techniques, Luenberger observer, kalman filter, vehicle models, parameter identification, benchmarking, high-level algorithm design, prototyping, simulation environments, Matlab/Simulink/Python, C/C++, architectural design, software development, real-time embedded control systems, vehicle ECU systems, test and verification methodologies, automotive software, unit and system level tests, autonomous vehicle or advanced driver assist system development, lane keeping, adaptive cruise control, automotive safety concept, failure mode, common analysis tools, FMEA, deep learning, neural network concepts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":356500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a20f1274-45e"},"title":"Developer Relations Manager","description":"<p>We&#39;re seeking a Developer Relations Manager to work with China&#39;s industrial and research communities, integrating GPU Accelerated Computing solutions for AI, Machine Learning, and Deep Learning, specifically Generative AI and Agentic AI. You&#39;ll build comprehensive multi-cloud, hybrid, and on-prem solutions.</p>\n<p>As a technical business development and accelerated computing platform evangelist, you&#39;ll work with researcher and developer communities to understand their requirements, analyze technical requests, and integrate new or expand existing solutions.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Understand China researcher and developer communities, analyzing technical requirements, and identifying needle-moving projects</li>\n<li>Bridge NVIDIA tools with community requirements, promoting NVIDIA tools, libraries, and SDKs with China researcher and developer communities, ISVs, and Service Providers</li>\n<li>Engage deeply with accelerated computing, AI for science, visualization, and agentic AI, with a particular focus on CAE/CFD applications</li>\n<li>Discover new workflows, identify blockers to ISV adoption, and report back to product teams</li>\n<li>Drive early adoption of new products and support launch and go-to-market activities</li>\n<li>Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, and product teams to engage with customers and communities</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS, MS, PhD in computational mechanics, fluid dynamics, mechanical engineering, or Computer Science (or equivalent experience)</li>\n<li>3+ years of work-related experience in technical leadership roles and architecting GPU-accelerated computing solutions</li>\n<li>Strong technical foundation in CAE/CFD, including fluids, structures, fluid-structure interaction, and multiphysics</li>\n<li>Extensive knowledge and experience with recent advancements in AI for Science, LLMs, Agentic AI, and Physical AI</li>\n<li>Strong analytical and problem-solving skills, with deep empathy for developers</li>\n<li>Clear written and oral communication skills with a proven track record of articulating value propositions to executive and technical audiences</li>\n<li>Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously while engaging with internal and external stakeholders</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with CAE/CFD software, such as Fluent, OpenFOAM</li>\n<li>Hands-on experience with CUDA/CUDA-X, PhysicsNeMo, Omniverse/OpenUSD</li>\n<li>Background in community management, OSS community, academic alliance, acceleration computing development, LLM training/inference development</li>\n<li>Experience and empathy for software engineering and application development</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a20f1274-45e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Developer-Relations-Manager---CAE-and-CFD_JR2025728?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["GPU Accelerated Computing","AI for Science","Machine Learning","Deep Learning","CAE/CFD","Project Management"],"x-skills-preferred":["CUDA/CUDA-X","PhysicsNeMo","Omniverse/OpenUSD","Fluent","OpenFOAM"],"datePosted":"2026-09-21T18:12:39.337Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GPU Accelerated Computing, AI for Science, Machine Learning, Deep Learning, CAE/CFD, Project Management, CUDA/CUDA-X, PhysicsNeMo, Omniverse/OpenUSD, Fluent, OpenFOAM"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_adf36050-137"},"title":"Senior Perception Engineer","description":"<p>We&#39;re looking for a Senior Perception Engineer to develop and productize NVIDIA&#39;s autonomous driving solutions. As a member of our perception team, you will drive end-to-end solutions for perception modules responsible for traffic signal understanding, including traffic lights, traffic signs, road markings, and construction objects.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design end-to-end solutions for Perception and AV stack to enable traffic signal detections across various driving environments</li>\n<li>Develop innovative deep learning models for traffic light detection, traffic sign recognition, road marking detection, and other traffic signal tasks</li>\n<li>Drive data-driven development by working with large data collection and labeling teams to bring in high-value data to improve perception system accuracy</li>\n<li>Leverage data simulation and augmentation for solving extreme scenarios</li>\n<li>Productize developed perception solutions by meeting product requirements for safety, latency, and software robustness</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field</li>\n<li>2+ years of technical leadership experience</li>\n<li>Hands-on experience in developing deep learning and algorithms to solve sophisticated real-world problems</li>\n<li>Proficiency in using deep learning frameworks (e.g., PyTorch)</li>\n<li>Strong programming skills in Python and/or C++</li>\n<li>Outstanding communication and teamwork skills</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras</li>\n<li>Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real-time applications</li>\n<li>Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques</li>\n</ul>\n<p>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 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As a deep learning library performance software engineer, you will be working on delivering high-performance code to NVIDIA&#39;s cuDNN, cuBLAS, and TensorRT libraries to accelerate deep learning models.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Writing highly tuned compute kernels to perform core deep learning operations (e.g., matrix multiplies, convolutions, normalizations)</li>\n<li>Following general software engineering best practices, including support for regression testing and CI/CD flows</li>\n<li>Collaborating with teams across NVIDIA:</li>\n<li>CUDA compiler team on generating optimal assembly code</li>\n<li>Deep learning training and inference performance teams on which layers require optimization</li>\n<li>Hardware and architecture teams on the programming model for new deep learning hardware features</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Master&#39;s or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, 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Your customers will have diverse multi-GPU needs, ranging from training on scales up to 100K GPUs to inference at microsecond latency.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production.</li>\n<li>Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities.</li>\n<li>Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.</li>\n<li>Conduct in-depth research to achieve SOL GPU performance.</li>\n<li>Build fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.</li>\n<li>Collaborate with a very dynamic team across multiple time zones.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Pursuing a M.S. or Ph.D. in CE/CS/EE with a strong background in communication, kernel authoring, and/or AI training/inference.</li>\n<li>Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe).</li>\n<li>Solid understanding of LLM models and parallelisms.</li>\n<li>Adaptability and passion to learn new areas and tools.</li>\n<li>Flexibility to work and communicate effectively.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Development experience with frameworks such as PyTorch, JAX, TRT-LLM, vLLM, SGLang, or veRL.</li>\n<li>Experience with DL communication patterns such as Expert Parallelism (EP), TP, DP &amp; PP.</li>\n<li>Experience with CUDA kernel optimization and profiling.</li>\n<li>Experience with large-scale training or production inference stack.</li>\n</ul>\n<p>NVIDIA offers highly competitive salaries and a comprehensive benefits package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dd10aaa9-499","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-Engineering-Intern--DLFW-Comms---2027_JR2025701?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","C++","CUDA","Deep Learning","Communication Libraries"],"x-skills-preferred":["PyTorch","JAX","TRT-LLM","vLLM","SGLang","veRL","Expert Parallelism","CUDA kernel optimization"],"datePosted":"2026-09-20T18:05:52.668Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, CUDA, Deep Learning, Communication Libraries, PyTorch, JAX, TRT-LLM, vLLM, SGLang, veRL, Expert Parallelism, CUDA kernel optimization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca160a3f-7e0"},"title":"DRIVE Road Structure / Online Mapping / Context Fusion Engineer","description":"<p>We are looking for a strong engineer to join the DRIVE Road Structure / Online Mapping / Context Fusion team. In this role, you will help craft and guide the future of our L3/L4 autonomous-driving solution by building a complete, learned 3D/4D world model that fuses navigation, ego-motion, perception, and sensor signals.</p>\n<p>You will work closely with perception, prediction, planning, and simulation teams to deliver a world representation that is complete, temporally consistent, uncertainty-aware, and robust enough to drive through the most challenging roads and intersections in L3/L4 autonomy level.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and develop learning-based, multimodal sensor-fusion systems that transform synchronized sensor history, ego-motion, navigation context, and driving context into a unified spatiotemporal world representation.</li>\n<li>Build architectures that jointly reason over camera, LiDAR, radar, and vehicle-state inputs, with appropriate handling of calibration, synchronization, coordinate transforms, sensor latency, and uncertainty.</li>\n<li>Develop end-to-end and multi-task models that produce driving-relevant outputs from a shared scene representation, including road graph elements such as lanes, boundaries, crosswalks, and traffic controls; semantic scene understanding; occupancy and free-space representations, including uncertain and occluded regions;</li>\n<li>Develop scalable multimodal fusion architectures, including Transformer-based early, late, and hierarchical fusion; BEV, point/voxel, and image-based representations; temporal context aggregation; and cross-modal attention.</li>\n<li>Create training, fine-tuning, and evaluation pipelines for large-scale multimodal datasets. 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Experience with CUDA, distributed training, mixed-precision techniques, and efficient GPU inference using NVIDIA software and hardware is highly valued.</li>\n<li>Experience with Transformer, VLM, or multimodal foundation-model architectures, including pre-training, fine-tuning, distillation, quantization, or efficient inference.</li>\n<li>Experience training and evaluating models at scale, including distributed training, dataset curation, offline evaluation, simulation-based validation, and production monitoring.</li>\n<li>Ability to work across research and engineering boundaries: turn an ambiguous AV problem into measurable technical objectives, build the solution, and drive it to deployment.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Base salary range: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5</li>\n<li>Equity and benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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TensorRT, edge or real-time inference).</li>\n</ul>\n<p><strong>Education &amp; Experience</strong></p>\n<ul>\n<li>Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).</li>\n<li>2+ years of applied experience in computer vision or multimodal AI (academic or industry).</li>\n</ul>\n<p><strong>Travel Requirements</strong></p>\n<ul>\n<li>Occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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optimization"],"datePosted":"2026-09-18T16:16:20.011Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer vision, machine learning, deep learning, Python, C++, OpenCV, PyTorch, TensorFlow, Vision-Language Models, multimodal learning, generative AI, RabbitMQ, gRPC, REST APIs, distributed training, model optimization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc4b1c3d-854"},"title":"Molecular AI and Quantum Research Intern","description":"<p>NVIDIA&#39;s Quantum and Chemistry Research team is seeking Molecular AI and Quantum Research Interns to work in our newly-formed Quantum and Chemistry Research team led by Alán Aspuru-Guzik.</p>\n<p>The Quantum and Chemistry Research team explores novel approaches to integrate world-class NVIDIA multi GPU 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We are interested in robotics for self-driving labs as well.</p>\n<p>The Quantum and Chemistry Research Scientist will help develop either of:</p>\n<ul>\n<li>Quantum algorithms at the interface of artificial intelligence and many-body physics models such as quantum chemistry.</li>\n<li>Generative models for chemistry</li>\n<li>Self-driving lab robotics capabilities</li>\n<li>Agentic AI systems for computational chemistry</li>\n</ul>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Advance the state-of-the-art of AI-driven quantum algorithms, generative models for chemistry, self-driving labs, or agentic AI.</li>\n<li>Present at relevant scientific, technical and industry conferences.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Pursuing a PhD Degree in Chemistry, Physics, Computer Science, Applied Mathematics, Engineering, or related engineering field.</li>\n<li>Background in Quantum Information Science, or AI for chemistry with expertise in one of the following: quantum chemistry, quantum machine learning, or applied quantum algorithms, robotics for self-driving labs, generative models for chemistry, or computational agentic frameworks.</li>\n<li>Research experience in a graduate setting in any of the topics above.</li>\n<li>World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Background with GPU computing.</li>\n<li>Experience in software systems development.</li>\n<li>Experience in Machine Learning methods.</li>\n<li>Experience scaling or optimizing large-scale AI models.</li>\n<li>Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning.</li>\n</ul>\n<p>The internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 77 CAD - 99 CAD. You will also be eligible for Intern benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc4b1c3d-854","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Canada-Toronto/PhD-Research-Intern--Quantum-and-AI-for-Chemistry---2027_JR2024997?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":"77 CAD - 99 CAD","x-skills-required":["Quantum Information Science","AI for chemistry","quantum chemistry","quantum machine learning","applied quantum algorithms","robotics for self-driving labs","generative models for chemistry","computational agentic frameworks"],"x-skills-preferred":["GPU computing","software systems development","Machine Learning methods","large-scale AI models","scientific computing","high-performance computing","applied machine learning","deep learning"],"datePosted":"2026-09-17T15:20:04.024Z","employmentType":"INTERN","occupationalCategory":"IT","industry":"Technology","skills":"Quantum Information Science, AI for chemistry, quantum chemistry, quantum machine learning, applied quantum algorithms, robotics for self-driving labs, generative models for chemistry, computational agentic frameworks, GPU computing, software systems development, Machine Learning methods, large-scale AI models, scientific computing, high-performance computing, applied machine learning, deep learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_75a20726-2ac"},"title":"Staff Machine Learning Engineer, Retrieval","description":"<p>Reddit is seeking a Staff Machine Learning Engineer to provide technical leadership for the Retrieval ML team. The Ads Retrieval ML team builds machine learning systems that identify relevant advertising candidates for Reddit users.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define the technical direction and multi-year roadmap for ads retrieval modeling</li>\n<li>Design, develop, and launch candidate-generation and retrieval models for campaigns and ads</li>\n<li>Apply modern approaches such as two-tower architectures, representation learning, and deep learning techniques</li>\n<li>Improve the retrieval stack across key modeling decisions</li>\n<li>Work with approximate nearest-neighbor and vector retrieval systems</li>\n<li>Establish strong evaluation practices</li>\n<li>Lead offline analysis and online experiments</li>\n<li>Partner with downstream ranking, ads platform, auction, measurement, and product teams</li>\n<li>Write design documents, review code and model changes, and mentor ML engineers</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>7+ years of industry experience in applied ML</li>\n<li>Deep experience with information retrieval, candidate generation, and recommender systems</li>\n<li>Strong understanding of retrieval modeling concepts</li>\n<li>Experience training, evaluating, and deploying deep learning models</li>\n<li>Demonstrated ownership of ML projects</li>\n<li>Strong command of experimental design and model evaluation</li>\n<li>Experience working with large-scale behavioral, contextual, or content datasets</li>\n<li>Strong software engineering fundamentals</li>\n<li>Technical leadership experience</li>\n<li>Excellent written and verbal communication</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with ads retrieval, ad serving, recommendation, search relevance, or marketplace optimization</li>\n<li>Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals</li>\n<li>Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>100% remote opportunity</li>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_75a20726-2ac","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/8178085?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$230,000-$322,000 USD","x-skills-required":["machine learning","information retrieval","candidate generation","recommender systems","deep learning"],"x-skills-preferred":["ads retrieval","ad serving","recommendation","search relevance","marketplace optimization"],"datePosted":"2026-09-17T15:11:42.221Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - 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This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive design wins and revenue growth.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Work with OEMs, manufacturers, and ISVs in autonomous driving and cockpit electronics, promoting our deep learning-based approach.</li>\n<li>Develop strategic relationships with customers&#39; R&amp;D and procurement teams to identify new opportunities and drive design wins.</li>\n<li>Acquire a deep understanding of customers&#39; system architecture, existing solutions, development plans, and competition status.</li>\n<li>Engage and steer internal stakeholders, such as Development, Marketing, and Operations teams, to provide customers with best-in-class service and drive business growth.</li>\n<li>Identify vehicle platforms and key personnel at Tier 1 customers related to NVIDIA&#39;s automotive products.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Possess account management skills with technical depth to understand customer needs.</li>\n<li>Experience developing relationships with key technical and business roles at top automotive companies.</li>\n<li>12+ years of experience in business development or sales in technology for automotive.</li>\n<li>Strong written and verbal communication skills, as well as leadership skills.</li>\n<li>BS in Engineering, Business, or equivalent experience.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Pre-existing relationships at targeted accounts are desirable.</li>\n<li>Knowledge of CPU, GPU, and artificial intelligence/deep learning.</li>\n<li>Knowledge of ADAS and automated driving applications and technology.</li>\n<li>Background in advanced cockpit and infotainment designs.</li>\n</ul>\n<p>Your cash compensation will be determined based on your location, experience, and the pay of employees in similar positions, with 85% paid through base salary and 15% variable compensation. 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This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. 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AI and ML initiatives, including LLM performance evaluation and supporting new hardware in open-source frameworks.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines,</li>\n<li>Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud, and solving complex problems in production,</li>\n<li>Work closely with the teams building the infrastructure software and accelerated frameworks that support today&#39;s most compelling AI applications,</li>\n<li>Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk,</li>\n<li>Develop open-source tools and reference architectures to make it easier to build and manage machine learning and AI workloads, pipelines, and systems at scale.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.</li>\n<li>8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally targeting large-scale production systems.</li>\n<li>Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle, from exploratory analysis to production systems.</li>\n<li>Facility with systems topics including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking at datacenter scale.</li>\n<li>Solid scripting and programming skills in languages like bash and Python and solid systems programming skills in a language like C++, Go, or Rust.</li>\n<li>Experience using machine learning or deep learning frameworks for training and inference.</li>\n<li>Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, trade-offs, and recommendations to both engineering and leadership audiences.</li>\n<li>A clear record of engineering discipline and execution on interesting projects, whether you&#39;re working alone or collaborating on a team.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salaries</li>\n<li>Generous benefits package</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_558b2a98-950","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-MLOps-Engineer---DSX-Enablement_JR2024864-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI/ML","MLOps","Cloud Computing","Linux","Kubernetes","Python","C++","Go","Rust","Machine Learning","Deep Learning"],"x-skills-preferred":["Open-source communities","NVIDIA ecosystem","DGX systems","CUDA","NeMo","RAPIDS","Triton","NIM","InfiniBand","NVLink","RoCE","MLOps practices","Cloud-native context","Containerization","CI/CD pipelines","Workflow automation","Observability stacks","GitOps workflows"],"datePosted":"2026-09-03T06:34:14.694Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML, MLOps, Cloud Computing, Linux, Kubernetes, Python, C++, Go, Rust, Machine Learning, Deep Learning, Open-source communities, NVIDIA ecosystem, DGX systems, CUDA, NeMo, RAPIDS, Triton, NIM, InfiniBand, NVLink, RoCE, MLOps practices, Cloud-native context, Containerization, CI/CD pipelines, Workflow automation, Observability stacks, GitOps workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_491833bd-ddc"},"title":"Senior Solutions Architect, NVIDIA Cloud Partners","description":"<p>NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure.</p>\n<p>The successful candidate will drive outtake and consumption by integrating libraries, frameworks, models, and software applications. 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Excellent presentation, communication and collaboration skills.</li>\n<li>Self-starter with a passion for growth, continuous learning, and sharing insights.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X.</li>\n<li>Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises / hybrid infrastructure, in particular inference and training workloads.</li>\n<li>Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.</li>\n<li>Proficiency with large-scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).</li>\n<li>Experience working with enterprise developers and strong customer-facing skills.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_491833bd-ddc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--NVIDIA-Cloud-Partners_JR2024339?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solution Engineering","Cloud Engineering","Solution Architecture","Deep Learning","Python","PyTorch","TensorFlow","GPU technologies"],"x-skills-preferred":["NVIDIA GPUs","NVIDIA software libraries","AWS","Azure","GCP","NCCL","DCGM","UFM","Mission Control","Base Command Manager","SLURM","K8s","MLOps"],"datePosted":"2026-08-29T03:57:52.294Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solution Engineering, Cloud Engineering, Solution Architecture, Deep Learning, Python, PyTorch, TensorFlow, GPU technologies, NVIDIA GPUs, NVIDIA software libraries, AWS, Azure, GCP, NCCL, DCGM, UFM, Mission Control, Base Command Manager, SLURM, K8s, MLOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2e21fc64-547"},"title":"Senior Solutions Architect, Higher Education and Research - Open Models and LLM","description":"<p>NVIDIA is seeking a Senior Solutions Architect to work with academia and research partners in the Greater London area. The ideal candidate will combine an understanding of modern AI and HPC research workloads with expertise in accelerated computing and architecture.</p>\n<p><strong>Job Summary:</strong> As a Solutions Architect, you will partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor. You will develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Partner with leading research labs, researchers, and university faculty to develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.</li>\n<li>Identify and accelerate high-impact workloads by integrating NVIDIA&#39;s frameworks, libraries, and core software stack into research projects.</li>\n<li>Advocate for accelerated computing and Deep Learning, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA&#39;s platforms.</li>\n<li>Track emerging research trends and turn gaps between researcher needs and NVIDIA&#39;s offerings into prototypical solutions and direct feedback to NVIDIA Engineering.</li>\n<li>Maintain deep expertise in your domain while staying versatile across NVIDIA&#39;s full platform: GPUs, CPUs, networking, and software.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>A graduate degree from a leading university in a STEM-related discipline.</li>\n<li>5+ years of hands-on experience running the large language model lifecycle across multi-node systems.</li>\n<li>Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders.</li>\n<li>Action-oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment.</li>\n<li>Fluent in English, both oral and written, and comfortable working in Python.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>A PhD from a leading university in a STEM-related discipline, with 3+ years of research on large language models or foundation models and their applications.</li>\n<li>A track record of thought leadership: high-impact publications, talks at academic conferences and workshops.</li>\n</ul>\n<p><strong>Travel Requirements:</strong> As a Solutions Architect, there is travel involved (30% of the working time), as often the best way to figure things out is a face-to-face meeting.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2e21fc64-547","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/UK-Remote/Senior-Solutions-Architect--Higher-Education-and-Research---Open-Models-and-LLM_JR2024411?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","accelerated computing","Deep Learning","large language models","HPC research workloads"],"x-skills-preferred":["PhD in STEM","research on large language models or foundation models"],"datePosted":"2026-08-29T03:55:31.136Z","employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Python, accelerated computing, Deep Learning, large language models, HPC research workloads, PhD in STEM, research on large language models or foundation models"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d484d432-17d"},"title":"Senior Applied Research Scientist, Data Curation","description":"<p>NVIDIA&#39;s Curator team is seeking a Senior Applied Research Scientist with experience researching, developing, and deploying deep learning models at scale across various modalities.</p>\n<p>You will join a team of Applied Research Scientists, Machine Learning and MLOps Engineers working on the next generation of data curation and document extraction pipelines for foundation-model training.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop efficient and performant models and data pipelines for extracting and curating multi-modal data used in foundation model training.</li>\n<li>Build pipelines for petabyte-scale extraction and content deduplication.</li>\n<li>Contribute to expanding and optimizing curation methodologies targeting petabyte-scale multimodal data.</li>\n<li>Explore and craft datasets, metrics, experiments, and validation scripts.</li>\n<li>Help ML Engineers scale pipelines to production capability.</li>\n<li>Write papers, blog posts, documentation, and training materials.</li>\n<li>Stay updated on the latest developments in data curation.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Master&#39;s, Ph.D., or equivalent experience in data curation, document AI, information retrieval, or multimodal research.</li>\n<li>Hands-on experience developing computer vision and document-extraction models and 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NVIDIA offers highly competitive salaries and a comprehensive benefits package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d484d432-17d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com/","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Research-Scientist--Data-Curation_JR2024365?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","PyTorch","deep learning","data curation","document AI","information retrieval","multimodal research","computer vision","document-extraction models","distributed data frameworks"],"x-skills-preferred":["Kaggle Grandmaster status","top-tier results in machine learning competitions","Ray","Spark","Dask"],"datePosted":"2026-08-28T03:51:39.996Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, deep learning, data curation, document AI, information retrieval, multimodal research, computer vision, document-extraction models, distributed data frameworks, Kaggle Grandmaster status, top-tier results in machine learning competitions, Ray, Spark, Dask"}]}