CVPR 2026 Career Opportunities

Sunnyvale, CA

About the Role CoStar Matterport is seeking a Manager of Software Development to support the demand for Matterport’s revolutionary platform. Matterport is the leading spatial data product focused on digitizing and indexing the built world. Our all-in-one 3D data platform enables anyone to turn a space into an accurate and immersive digital twin which can be used to design, build, operate, promote, and understand any space. As the Manager, Software Development, you will join our Platform team as manager. You’ll be responsible for managing a team that crafts and scales services which connect the Matterport Platform with Matterport’s internal systems. This team is responsible for connecting Platform to our ERP and CRM systems, amongst other integrations with the broader enterprise. The ideal candidate is an individual who thrives on new challenges, possesses a strong platform development background, and has a drive to invent with others. 

This role is located in our Sunnyvale, CA office and has a schedule of 4 days on-site and 1 day work from home.

Responsibilities:  - Lead a team that delivers on multiple projects with other teams. - Work closely with our product and design teams, as well as business stakeholders, to drive and execute on the next set of product innovations required to maintain and accelerate our position as an industry leader. - Build products with a focus on scalability. - Foster an inclusive team culture focusing on learning, best-practices and efficiency - Enable teams to be successful by removing obstacles and developing strategic relationships throughout the business. - Help set the direction and goals for the team, in terms of project impact, product quality, and engineering efficiency. - Understand and stay current on competitive landscape, market trends and emerging technology. - Understand how billing systems and ERPs work - Dive into coding and technical tasks as necessary and as time permits with your other management responsibilities. - Work with Product to organize and define requirements for the team - Run our SDLC processes for the team. - Hire, coach, and develop your team.

Basic Qualifications: - Bachelor's degree from an accredited, not-for-profit University or College - A track record of commitment to prior employers - Experience leading multiple software engineering teams in a high growth and fast-paced environment. - 8+ years of experience developing cloud platforms at scale in languages such as: Kotlin, Java, Go, or Python.

Remote (US based)

About the Role As a Lead CV/ML Engineer on our Vision & Learning team, you will be at the forefront of developing the next generation of our 3D capture technology. You will be a key link between capture devices and software teams, designing and implementing the core image processing algorithms that make our 3D reconstruction possible. You will collaborate closely with hardware engineers to define technical requirements for new capture hardware and sensors. Your work will involve designing and optimizing the entire image processing pipeline - from on-device capture corrections to sophisticated cloud-based enhancements - ensuring the highest possible image quality as the input to our reconstruction engine. This role is pivotal in improving the visual fidelity, accuracy, and robustness of the digital twins our users create.

What You Will Do - Collaborate with hardware and optical engineering teams to define technical requirements for next-generation capture devices, focusing on sensor characteristics, image quality, and system integration. - Design, implement, and optimize robust, high-performance software for on-device (embedded) and cloud-based image processing pipelines. - Develop and improve computational photography algorithms for real-time capture, including (but not limited to) HDR imaging, auto-exposure, auto-white balance, noise reduction, and lens distortion correction. - Enhance and optimize image processing steps within the 3D reconstruction pipeline, such as stitching, color correction, and texture map generation. - Research and prototype novel image processing and computational photography techniques to enhance the quality, speed, and robustness of our 3D models. - Work closely with computer vision and deep learning engineers to ensure your image processing outputs are optimized for downstream tasks (e.g., SLAM, neural rendering, photogrammetry). - Profile, debug, and optimize image processing algorithms for various hardware platforms, including embedded systems and cloud GPUs. - Write high-quality, well-tested, and maintainable C++ and Python code.

Basic Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related quantitative field, or equivalent practical experience. - 3+ years of hands-on experience in image processing, computational photography, or computer vision. - Strong programming skills in Python and C++. - Deep understanding of classic image processing pipelines (ISP), color science, and optical principles. - Experience with computer vision libraries (e.g., OpenCV) and machine learning frameworks (e.g., PyTorch, TensorFlow). - Experience with version control systems (e.g., Git) and agile development methodologies. - Excellent problem-solving skills and a strong ability to debug complex, multi-component systems. - Strong verbal and written communication skills.

Preferred Qualifications - Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in image processing, computer vision, or computational photography. - 5+ years of industry experience developing image processing algorithms for capture devices (e.g., cameras, smartphones, scanners). - Experience working closely with hardware or electrical engineering teams on camera systems or sensor integration. - Strong understanding of 3D computer vision, photogrammetry, and/or multi-view geometry. - Experience applying deep learning techniques to image processing problems (e.g., denoising, super-resolution, learned ISP).

Location New York City

Description About Ideogram Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.

We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship.

Explore Ideogram 3.0, Character and Custom Models blog posts, and try Ideogram at ideogram.ai.

The Opportunity In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy.

What We're Looking For 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow. Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch. Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning. End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI. Ability to debug machine learning models to iteratively improve model quality and performance. Nice to have: Familiarity with kubernetes and docker. Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.

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.

US, CA, Santa Clara

We are looking for a Senior Software Engineer for our Autonomous Vehicle organization. The team combines state-of-the-art Machine Learning and Computer Vision techniques to run offline perception tasks. We seek the best engineers who are passionate about solving problems for self-driving cars and have a strong background in software development. We build platforms, web services, and tools to ingest terabytes of sensor data through a complex pipeline, using advanced deep learning models and mathematical algorithms to produce the highest-quality detection features for self-driving cars. Are you interested in building future technologies to serve millions of self-driving cars across the globe? If so, join us!

What You'll Be Doing: - Advance Deep Learning components for both training and inference stages - Developing tools to generate and handle big training datasets for different Deep Learning models - Developing computer vision algorithms for Deep Learning data preprocessing and post-processing - Integrating Deep Learning algorithms into realistic large-scale offline perception pipelines - Collaborating with other engineering teams within NVIDIA

What We Need To See: - A deep understanding of and experience applying modern Machine Learning techniques to real-world applications - MS/PhD Computer science or related areas (or equivalent experience) - 8+ years of industry experience - Strong mathematical foundation, such as Geometry, Linear Algebra, and Numerical Analysis - Proficient in C++ and Python, with ability to write clean maintainable code. - A self-motivated, collaborative and problem-solving mindset - Strive to learn, solve, and own hard problems end to end - Ability to work with multiple teams

Ways To Stand Out From The Crowd: - Previous experience with HD map generation. - Strive to learn, solve, and own hard problems end to end. - Good communication and analytical skills. - Great team player but an independent self starter

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.

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

You will...

• Own and pursue a research agenda to develop realistic and controllable simulation agents.

• Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.

• Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.

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

• Publish high-impact research at top-tier conferences in machine learning or robotics.

Qualifications:

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

• Strong background in imitation learning and/or reinforcement learning.

• Publications in top-tier conferences or journals related to machine learning or robotics.

• Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.

Bonus:

• Experience in self-driving, traffic simulation, or a related field.

• Proven ability to take research from prototype to production systems.

• Strong software engineering skills, including experience with large-scale training or simulation.

The US yearly salary range for this role is: $158,000 - $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.

Sunnyvale, CA

About the Role: We are looking for a thoughtful and enthusiastic Senior Software Engineer to join our 3D Experiences team. As a developer for the SDK, you will be responsible for tools that enable internal and external customers to build on Matterport’s world-class digital twin platform. The SDK mediates nearly a quarter of Showcase traffic each month (roughly 10–20 million views), powering partner experiences—including AI agent navigation on Homes.com and Apartments.com. You’ll collaborate across product and engineering teams to deliver cohesive platform capabilities and unlock value for developers and other stakeholders. The ideal candidate has strong client-side 3D application development experience, enjoys reasoning about developer-facing APIs, and brings a forward-thinking mindset that enables them to build reliable, testable, and well-documented code.

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

Responsibilities - Deliver new SDK capabilities to embed, customize, and extend Matterport’s 3D web application. - Define stable, clean APIs (events, observables, proxies) to enable rapid frontend prototyping. - Coordinate with QA to preserve and expand test coverage for the SDK and plugins. - Champion new optimizations, design patterns, and best practices for our codebase. - Own backward compatibility for SDK features by following disciplined engineering practices. - Create working prototypes for new concepts, ideas, and capabilities to help clarify direction. - Write clean, maintainable, and efficient code and constructively participate in code reviews. - Collaborate with a cross-functional team of product managers, designers, and engineers.

Basic Qualifications - Bachelor’s Degree in Computer Science or related field from an accredited, not for profit, in-person university or college - 5+ years building and shipping client-side SDKs or developer-facing libraries (or similar) - Strong proficiency in TypeScript, including interface design, type modeling, and ontology - Experience in both 2D (React, Angular) and 3D (Three.js, Babylon.js) web frameworks - Passionate about developer experience: clear abstractions, docs, examples, and release versioning - Strong problem-solving and debugging skills across a nested stack, experience diagnosing issues reported by downstream applications and partners. - Team-oriented, able to support teammates through peer review and help release software in a team environment with multiple work streams and consumers. - Track record of commitment to prior employers

USA, California, Santa Clara

We are now looking for a Senior Research Scientist focused on Multimodal Foundation Models and Robotics! NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team’s most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.

What you will be doing: - Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents; - Develop large-scale AI training and inference methods for foundation models; - Optimize and deploy AI models in physical simulation and on robot hardware; - Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.

What we need to see: - A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience. - 5 years of relevant work/research experience across one or both of these fields: Multimodal Foundation Models - Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers. - Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a big plus; - Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure. Robotics: - Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc. - Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch. - Deep understanding of robot kinematics, dynamics, and sensors; - Ability to safely operate robot hardware, lab equipment, and tools; - Knowledge of control methods, including PID, model predictive control, and whole-body control; - Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; - Robot hardware design and hands-on building experience.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!

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.

United States, California, Santa Clara

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the most exciting technology areas globally, including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

NVIDIA's AV Eval team is building the next generation of driving behavior evaluation — moving beyond hand-crafted rules to learned evaluation using LLMs, VLMs, and agentic workflows. You'll define how we measure whether an autonomous vehicle drives well, building systems that bridge ML research and production evaluation. You'll ship systems that run at scale on real-world driving data and produce metrics that block or green-light software releases. In this role you will get to work on next-gen AV evaluation and create a direct impact on vehicle safety and shipping decisions. Join a new team being built from scratch — high ownership, high visibility to NVIDIA AV leadership.

What You will be doing: - Design and build learned evaluation pipelines that assess driving behavior using LLMs, VLMs, and multimodal models - Develop agentic workflows that chain model inference, retrieval, and structured reasoning to evaluate complex driving scenarios - Define evaluation-of-evaluation methodology — how do we know our learned evaluators are correct? - Build golden-set frameworks and calibration loops for learned metrics - Partner with AML (Alpamayo Logos) teams on model-specific eval needs (e.g., COT prediction quality, AML regression coverage) - Instrument evaluation systems with robust experiment tracking, A/B comparison tooling, and model versioning - Contribute to the team's transition from rule-based to learned evaluation: identify metrics and analyzers that are candidates for ML replacement and build the alternatives

What we need to see: - PhD (4+ years), MS (6+ years), or BS (or similar) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. - Hands-on experience building LLM/VLM-based pipelines — fine-tuning, prompt engineering, retrieval-augmented generation, chain-of-thought - Track record of shipping ML systems to production (not just prototyping or publishing) - Strong software engineering fundamentals — writing clean, tested, reviewable code in Python and C++ - Experience with evaluation methodology: precision/recall, inter-rater reliability, calibration, annotation pipelines - Comfort with large-scale data processing (Spark, Dask, or similar) - Strong Python skills. Experience with PyTorch or JAX. Comfortable with GPU-based training workflows.

Ways to stand out: - Autonomous driving, robotics, or safety-critical domain experience - Familiarity with driving behavior taxonomies (cut-ins, hard braking events, lane-keeping metrics, scenario-based evaluation) - Experience with video understanding models or multi-modal evaluation. Knowledge of agentic AI frameworks (LangChain, DSPy, CrewAI, or custom) - Track record of influencing technical direction across team boundaries - Experience with LLM/VLM fine-tuning or application development

At NVIDIA, we’re dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world’s most respected technology companies. If you’re motivated, curious, and ready to make a difference, we’d love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!

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.