Software Engineer, Autonomy & Real-Time Systems Recruiting From ScratchSoftware Engineer, Autonomy & Real-Time SystemsSeattle, WashingtonCollaborate with cross-functional teams to design and implement robust algorithms for visual conversational AI applications. Engage in code reviews and provide mentorship to junior engineers, fostering a culture of continuous improvement.
Senior Deep Learning Performance Architect NVIDIASenior Deep Learning Performance ArchitectRedmond, CaliforniaNVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
NewSenior Deep Learning Computer Architect NvidiaSenior Deep Learning Computer ArchitectRedmond, WANVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. 5+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Computer architecture, including GPU and system level architecture; Performance analysis and optimization; Experience with LLM workloads, including performance tuning considerations such as parallelization and fusion strategies;`.
Senior MLOps Engineer - DSX Enablement NVIDIASenior MLOps Engineer - DSX EnablementSeattle, CaliforniaYou will: Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines, 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, Work closely with the teams building the infrastructure software and accelerated frameworks that support today’s most compelling AI applications, Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk, and. In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-stack AI and ML system problems, and work on a team with direct responsibility for the success of internal and external customers’ AI and ML initiatives, including LLM performance evaluation and supporting new hardware in open-source frameworks.
Research Engineer, Asta The Allen Institute for AIResearch Engineer, AstaSeattle, WAAi2's Asta Project ( https://allenai.org/asta ) aims to rapidly advance science, developing solutions in the areas of AI research assistants for scientists, literature understanding and synthesis, end-to-end discovery, human-AI interaction and intelligent interfaces, data-driven discovery, agents that can learn over time, methods for training agentic models, and the evaluation and benchmarking of agents. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.
Staff Technical Program Manager - RMG MOLOCOStaff Technical Program Manager - RMGSeattle, WA$204,000–$255,000 / yearLed by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Young Investigator, Open Language Models for Biology The Allen Institute for AIYoung Investigator, Open Language Models for BiologySeattle, WAThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
AI Research Engineer CobotAI Research EngineerSeattle, WashingtonIn this role, you’ll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. Hands-on experience training (not just using) large-scale ML models such as transformers or diffusion models.
AI Research Engineer Collaborative RoboticsAI Research EngineerSeattle, WAIn this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. Hands-on experience training (not just using) large-scale ML models such as transformers or diffusion models.
Post-Doctoral AI Researcher (2 year Fixed-Term) SnowflakePost-Doctoral AI Researcher (2 year Fixed-Term)Bellevue, WashingtonThis 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI — s pecifically, applying machine learning to high-impact real-world domains like medicine, finance, and law. Research background at the intersection of AI and one or more of: medicine (clinical NLP, medical imaging, drug discovery), finance (quantitative modeling, risk, forecasting, market analysis), or law (legal NLP, contract analysis, reasoning, compliance).
NAVER Search US - Applied Scientist (Generative AI & LLMs) Naver U.Hub INCNAVER Search US - Applied Scientist (Generative AI & LLMs)Bellevue, WA$130,000–$180,000 / yearOur teams across Naver Search US, BAND, ThingsBook, and Naver Ventures collaborate to advance AI, social media, and investment initiatives that build smarter and more connected experiences for global users. In this role, you will contribute to the development of Large Language Model (LLM)-driven systems that power a scalable and intelligent multi-agent ecosystem across diverse domains.
Research Scientist, Robotics Research - PhD New College Grad 2026 NVIDIAResearch Scientist, Robotics Research - PhD New College Grad 2026Seattle, WashingtonDeveloping algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns joining NVIDIA during their PhD programs. Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Senior Robotics Research Scientist NVIDIASenior Robotics Research ScientistSeattle, WashingtonDeveloping algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns and more junior research scientists and engineers. Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.
NewResearch Scientist, Robotics Research - Phd New College Grad 2026 NvidiaResearch Scientist, Robotics Research - Phd New College Grad 2026Seattle, WAWhat you will be doing: Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns joining NVIDIA during their PhD programs. Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Staff AI Engineer - AI Verticals ZoomStaff AI Engineer - AI VerticalsSeattle, WAWe set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. Building AI agents using frameworks like LangChain, Dify, OpenAI SDK or internal orchestration system through code (not no-code tools), ensuring proper agent flow implementation.
NewVirtualization & Orchestration Engineer Designworks TalentVirtualization & Orchestration EngineerBellevue, WashingtonThe organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications. You'll work at the intersection of virtualization, Kubernetes, distributed systems, GPU infrastructure, and high-performance computing—solving complex challenges around workload scheduling, resource allocation, cluster management, and infrastructure automation.
Staff GPU Performance / Kernel Engineer Designworks TalentStaff GPU Performance / Kernel EngineerBellevue, WashingtonThe organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.
Machine Learning Research Scientist ElastixAIMachine Learning Research ScientistSeattle, WashingtonThis is a highly interdisciplinary role where you will collaborate closely with our multi-disciplinary team to ensure novel research ideas contribute to delivering optimal AI inference solutions at scale. You will be actively conducting high impact research on novel ML solutions towards the next generation of efficient intelligence platforms.
Staff Machine Learning Engineer RemitlyStaff Machine Learning EngineerSeattle, WashingtonExperience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.
Engineering Manager, AI Compiler Analysis NvidiaEngineering Manager, AI Compiler AnalysisSeattle, WAAs AI models, GPU architectures, and compiler systems become more sophisticated, AI compiler quality has become a deep technical challenge at the intersection of compilers, machine learning frameworks, numerical computing, formal reasoning, and large-scale systems engineering. Define formal-verification requirements for AI compiler transformations and generated GPU programs, including formal specifications, tensor/operator semantics, semantic preservation, code equivalence, numerical behavior, and properties stressed by AI-generated or adversarial workloads.