CVPR 2026 Career Opportunities

USA, California, Santa Clara

Intelligent machines powered by artificial intelligence—computers that can learn, reason, and interact with people—are transforming every industry. GPU-accelerated deep learning provides the foundation for machines to perceive, reason, and solve complex problems. NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

We are seeking an exceptional Senior Perception Engineer to help design and productize NVIDIA’s next-generation autonomous driving perception stack. You will work on the core 3D obstacle perception pipeline, contribute to architecture and algorithm design, and remain deeply hands-on with implementation, including modern transformer-based, multi-modal, and vision-language techniques where they add real value.

What you’ll be doing: - Develop and improve the technical design, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art CNN and transformer-based architectures where appropriate. - Design and implement advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion (camera, radar, lidar) for obstacle detection and tracking, including opportunities to explore BEV and transformer-based 3D perception. - Build efficient, production-grade deep learning models: define objectives with the team, select and prototype architectures, run experiments, and follow best practices for training and evaluation, using techniques such as large-scale pretraining, distillation, and parameter-efficient fine-tuning (e.g., LoRA). - Help define and maintain KPI frameworks to quantify perception performance; analyze large-scale real and synthetic datasets to identify failure modes and systematically improve accuracy, robustness, and efficiency, incorporating approaches like self-supervised and representation learning when beneficial. - Contribute to the data strategy for perception: specify data and labeling requirements, help prioritize data collection and annotation, and collaborate with data and ground-truth teams, including model-assisted workflows (e.g., active learning, auto-labeling, vision-language models (VLMs)) and model-in-the-loop tooling. - Collaborate with safety, systems, and software teams to ensure perception solutions meet product requirements for safety, latency, resource usage, and software robustness, and are ready for deployment at scale.

What we need to see: - PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. - Hands-on experience developing deep learning–based perception or closely related systems for complex real-world problems, with strong proficiency in frameworks such as PyTorch and a track record of taking models from prototype to production. - Proven experience in data-driven development, including close collaboration with data, labeling, and ground-truth teams on data strategy, labeling quality, and iterative model improvement. - Strong programming skills in Python and/or C++, with experience building reliable, high-performance, production-quality software. - Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.

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.

Locations: Toronto, ON / San Francisco, CA / Remote US & Canada

You will...

• Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.

• Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.

• Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.

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

• Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.

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

• Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.

Qualifications:

• Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.

• Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.

• Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.

• Proficient in reading and coding in Python.

• Open-minded and collaborative team player with willingness to help others.

• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus Points:

• Previous experience in self-driving technology.

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

• Proven track record of mentoring junior researchers or engineers.

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

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.

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.