CVPR 2026 Career Opportunities

USA, California, Santa Clara

NVIDIA is searching for a world-class generative AI researcher to join the fundamental generative AI research team at NVIDIA Research. We strive for research that pushes boundaries and builds the next generation of generative models but also has an impact on the world. We are interested in advancing generative AI methods for image, video, 3D, or scientific applications (i.e., GenAI4Science). You are expected to have a strong mathematical foundation and be capable of analyzing and developing novel models. The position will focus on fundamental research, with the freedom and bandwidth to conduct ground-breaking research. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning. You will be empowered to make contributions that create real-world impact.

What you'll be doing: - Research, design, and implement novel, large-scale generative AI methods. - Publish original research. - Collaborate with team members, research teams, as well as product teams. - Speak at conferences and events. - Transfer technology to product groups.

What we need to see: - Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience) - Excellent knowledge of the theory and practice of generative AI. - Experience in building generative models for image, 3D, video, multimodal, weather, biology, chemistry, or material science data. - Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA). - Knowledge of deep learning frameworks, such as PyTorch. - Outstanding research track record. - Excellent communication skills.

We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 for Level 3, and 192,000 USD - 304,750 USD for Level 4.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

Sunnyvale, CA

Role Description: We are seeking a Lead Mobile Software Engineer to help lead development for Matterport's 3D technology. We are working with OEM and hardware technology partners to provide cutting-edge capture experiences on next-generation mobile and camera devices.

We are looking for someone who is passionate about building great mobile software and is motivated to take the lead in the creation of mobile apps for capturing, editing, and viewing 3D spaces and objects.

Responsibilities: - Collaborate closely with the engineering team and product marketing to define, design, develop, and deliver new exciting features on Matterport’s applications - Continuously explore, evaluate, and incorporate new technology into our products and processes to improve development efficiency - Deliver a quality software solution using the Agile mobile development cycle - Analyze business requirements, provide development estimates, feedback and proper implementation - Develop, maintain, support, troubleshoot, monitor and optimize existing mobile applications - Research and recommend new mobile tools and applications

Basic Qualifications: - Bachelor’s degree in Computer Science, Electrical Engineering or a related field, from an accredited, not-for-profit University or College, or equivalent experience. - A track record of commitment to prior employers. - 5+ years experience in high-performance software development - 3+ experience in Android mobile development experience with deep technical knowledge of mobile frameworks and how to build reactive UI design - Experience working with RESTful web APIs

USA, California, Santa Clara

We are now looking for a Senior Research Scientist for Generative AI!

NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing: - Conduct original research in the space of generative AI - Implement and train large-scale generative AI models for various content creation applications - Collaborate with other research team members, a diverse set of internal product teams, and external researchers - Have a broader impact through the transfer of the technology you've developed to relevant product groups

What we need to see: - Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience). - 5+ years of relevant research experience. - Excellent collaboration and interpersonal skills - Excellent python/C++ programming skills - Great knowledge of common deep-learning frameworks - Experience in processing or curating large-scale datasets - Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics - Track record of research excellence or significant product development

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

Sunnyvale, CA

About the Role: As a Senior MLOps Engineer at Matterport, a part of CoStar Group, you will be pivotal in enhancing the performance, efficiency, and scalability of our machine learning models. You will be responsible for identifying bottlenecks, applying advanced optimization techniques, and deploying highly efficient models into production. You will work closely with ML R&D Engineers and other engineering teams to analyze model performance, optimize inference speed and resource utilization, and ensure the seamless integration of optimized models into our spatial computing platform. This role requires a strong understanding of machine learning principles, expertise in model optimization techniques, and a passion for pushing the boundaries of what's possible with efficient ML deployment. You will contribute to a product that is revolutionizing how people interact with and understand real estate by ensuring our models are robust, fast, and deliver exceptional user experiences.

What you will do: - Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization. - Implement and apply model optimization techniques such as quantization, pruning, distillation, and neural architecture search to improve inference speed and reduce resource consumption. - Develop and integrate specialized libraries and tools for efficient model execution on various hardware platforms (e.g., GPUs, CPUs, edge devices). - Collaborate with ML R&D Engineers to understand model architectures, training procedures, and deployment requirements. - Design and conduct experiments to measure the impact of optimization techniques on model performance and accuracy. - Automate model optimization workflows and build robust continuous integration/continuous deployment (CI/CD) pipelines for optimized models. - Stay up-to-date with the latest research and industry trends in ML model optimization, hardware acceleration, and efficient AI. - Contribute to the continuous improvement of MLOps practices and infrastructure for model deployment and monitoring. - Ensure the scalability and reliability of optimized models in production environments.

Basic Qualifications: - Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience. - 3+ years of experience in machine learning engineering, with a focus on model optimization and deployment. - Proficiency in Python and strong programming skills. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and optimization libraries. - Solid understanding of machine learning algorithms, model architectures, and deep learning concepts. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments. - Familiarity with version control systems (e.g., Git) and agile development methodologies. - Excellent problem-solving skills and attention to detail, particularly in model performance and accuracy. - Strong verbal and written communication skills.

Preferred Qualifications: - Master's degree in Computer Science, Data Science, or a related quantitative field. - 5+ years of industry experience in ML Model Optimization, ML Engineering, or MLOps, particularly with large-scale 2D/3D computer vision models. - Experience with hardware-aware model optimization and deployment to edge devices. - Knowledge of model compression techniques and their practical application. - Experience with workflow orchestration tools (e.g. Temporal, Airflow, Kubeflow). - Familiarity with containerization technologies (e.g., Docker, Kubernetes). - Demonstrated ability to build and maintain robust, scalable, and automated ML model deployment pipelines. - Experience working in a fast-paced R&D environment. - Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences.

Sunnyvale, CA

About the Role: We are seeking a highly skilled and experienced Senior NetSuite Developer to join our growing ERP/IT team at Matterport. The ideal candidate will possess advanced expertise in SuiteScript (2.x/2.1), SuiteCloud Development Framework (SDF), and strong project management capabilities, with a deep understanding of core NetSuite modules and standard platform functionalities. As a Senior Developer, you will lead the design, development, testing, and deployment of custom NetSuite solutions, while also contributing to strategic planning and cross-functional collaboration. Your role will be critical in optimizing our ERP system to support ongoing business needs and process improvements.

This position is located in Sunnyvale, CA and offers a schedule of Monday to Thursday in the office and the option to work from home on Friday.

Responsibilities: - Design and develop custom NetSuite solutions using SuiteScript 2.x/2.1, SDF, RESTlets, and integrations with external systems. - Lead ERP projects from requirements gathering to deployment, including scope definition, technical planning, and post-deployment support. - Build and maintain NetSuite customizations, including workflows, scripts, custom records, and user roles/permissions. - Serve as a subject matter expert on NetSuite standard functions (e.g., Financials, Order to Cash, Procure to Pay, CRM, Inventory, etc.). - Utilize SuiteCloud Development Framework (SDF) to manage and deploy code in a structured and scalable way. - Collaborate with stakeholders across Finance, Operations, Sales, and IT to translate business requirements into technical solutions. - Ability to work on multiple projects at any given time, with a firm understanding of how to prioritize work based on business needs - Develop and manage API integrations between NetSuite and external systems using REST, SOAP, and other protocols. - Demonstrate a solid understanding of how databases are structured and integrated, with the ability to design scalable and efficient data flows between systems. - Maintain documentation for customizations, configurations, and technical processes. - Assist in managing NetSuite integration with other platforms (e.g., Salesforce, Shopify, Celigo, Boomi, etc.). - Participate in system upgrades, sandbox refreshes, and overall NetSuite environment management.

Basic Qualifications: - Bachelor’s degree from an accredited, not for profit, in-person university or college - Track record of commitment to prior employers - 5+ years of NetSuite development experience, with a focus on SuiteScript (2.x/2.1). - Strong proficiency in SuiteCloud Development Framework (SDF). - Solid understanding of NetSuite's standard modules and business processes. - Proven experience in managing ERP-related projects, from concept to delivery. - Strong understanding of NetSuite architecture, APIs, and integration capabilities (REST/SOAP). - Hands-on experience designing and implementing API integrations and data synchronization across multiple systems. - Understanding of relational databases, data mapping, and best practices for data integration and transformation. - Familiarity with NetSuite best practices for configuration, performance, and scalability. - Excellent problem-solving, analytical, and debugging skills. - Strong written and verbal communication skills.

Locations: Remote US & Canada / Dallas, TX / Phoenix, AZ / Pittsburgh, PA / San Francisco, CA / Toronto, ON

You will...

• Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.

• Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.

• Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.

• Champion engineering excellence, ensuring high-quality, well structured and tested code.

• Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.

• Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.

• Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.

• Contribute to the publication of research findings in conferences as well as Waabi's blog.

Qualifications:

• Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

• Experience working on applied research projects.

• Passion for taking research ideas and turning them into practical solutions for real-world applications.

• Solid understanding of computing fundamentals, including code efficiency.

• Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.

• Comfortable working with large datasets for machine learning applications.

Bonus/nice to have:

• Master/PhD in machine learning, computer science, engineering, or a related field.

• Experience in shipping machine learning features/models into production.

• Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.

• Previous experience in self-driving technology or related fields.

• Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.

• Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.

• Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.

• Proficiency in Pytorch, Rust, C++ and/or CUDA.

The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Remote (US based)

About the Role: As a Lead Machine Learning R&D Engineer at Matterport, a part of CoStar Group, you will be at the forefront of innovating and advancing our spatial computing platform. You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform.

Responsibilities: - Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation. - Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images. - Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform. - Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities. - Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges. - Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features. - Present research findings and technical solutions to internal teams and potentially the broader ML community. - Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives. - Contribute to the intellectual property of Matterport through patents and publications.

Basic Qualifications: - Bachelor’s Degree required from an accredited, not for profit university or college.
- A track record of commitment to prior employers - 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas. - Proficiency in Pytorch and strong programming skills in Python. - Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), optimization techniques, and evaluation methodologies. - Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). -Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively. - Excellent problem-solving skills and the ability to work with complex, real-world datasets. - Strong verbal and written communication skills.

Preferred Qualifications & Skills: - Ph.D. or Masters Degree in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field. - 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production. - Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.

Locations: Toronto, ON / San Francisco, CA / Pittsburgh, PA / Remote US

You will…

• Conduct fundamental and applied research in generative and predictive world-modeling

• Video generation and prediction.

• Latent diffusion / autoregressive / flow-matching models.

• Multimodal foundation models for driving scenes.

• LLM / VLM / VLA methods for scene understanding, reasoning, and control.

• Generative scenario modeling and controllable simulation.

• Model distillation.

• Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.

• Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

• Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

• Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.

Qualifications:

• Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

• Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

• Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

• Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.

Bonus:

• Proven ability to translate research into production-quality code and measurable product impact.

• Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

USA, California, Santa Clara

At NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles. Our strategy has evolved from AI 1.0 — building a driver from scratch — to AI 2.0 — teaching an intelligent agent to drive. This next phase leverages LLMs, VLMs, and VLAs to bring unprecedented reasoning, planning capabilities, and interactivity with the driving system to autonomous vehicles and general robotics. Let’s build the future of autonomy—together!

What You’ll Be Doing: - Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems. - Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications. - Explore novel data generation and collection strategies to improve diversity and quality of training datasets. - Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met. - Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software.

What We Need to See: - Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems. - Deep understanding of modern deep learning architectures and optimization techniques. - Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale. - Strong programming skills in Python and proficiency with major deep learning frameworks. - Familiarity with C++ for model deployment and integration in safety-critical systems. - PhD with 4+ years, MS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

Ways to Stand Out from the Crowd: - Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics. - Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems. - Deep understanding of behavior and motion planning in real-world AV applications. - Experience building and training large-scale datasets and models. - Proven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deployment.

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.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

USA, California, Santa Clara

Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds? Join our groundbreaking research team as we revolutionize the future of physical AI through groundbreaking generative models. We are now hiring Research Scientists to join our Cosmos team! As a Research Scientist specializing in Generative AI for Physical AI, you'll be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You'll work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life.

What you'll be doing: - Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models - Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems - Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training - Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models - Author influential research papers to share your groundbreaking discoveries with the global AI community - Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers - Build lasting impact by facilitating technology transfer and contributing to open-source initiatives

What we need to see: - PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience). - Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development - Strong foundation in diffusion, vision language and reasoning models and their applications - Proven experience with reinforcement learning algorithms and implementations - Robust knowledge of physics simulation and its integration with AI systems - Demonstrated proficiency in 3D generative models and their applications

Ways to stand out from the crowd: - Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.) - Experience with large-scale distributed training systems - Background in robotics or physical systems - Open-source contributions to prominent AI projects - History of successful research-to-product transitions

You'll be part of a team that's defining the future of Physical AI, with access to world-class computing resources and the opportunity to work on problems that matter. Your research won't just live in papers – it will be implemented in real-world systems that push the boundaries of what's possible in AI. Join us in shaping the future of AI where digital intelligence meets physical reality. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!

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.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.