CVPR 2025 Career Opportunities

Location USA, WA, Seattle USA, CA, East Palo Alto

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!

Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.

As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.

Lecturer/ Senior Lecturer

The Department of Computer Science at the University of Bath invites applications for up to seven faculty positions at various ranks from candidates who are passionate about research and teaching in artificial intelligence and machine learning. These are permanent positions with no tenure process. The start date is flexible.

The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the United Kingdom. 

For more information and to apply, please visit: https://www.bath.ac.uk/campaigns/join-the-department-of-computer-science/

NVIDIA is searching for a Senior Engineer to lead robotics benchmarking efforts across software-in-the-loop (SIL) and hardware-in-the-loop (HIL) systems for Physical AI applications. This is a unique opportunity to shape the future of intelligent machines by developing scalable, accurate, and high-fidelity benchmarking tools that drive innovation in autonomy, robotics, and AI at the edge.

As part of our team, you’ll work closely with world-class engineers, researchers, and product teams to evaluate performance and reliability of robotic systems under real-world and simulated conditions. If you're excited by the challenge of designing advanced benchmarking frameworks and contributing to the evolution of robotics and AI, we’d love to hear from you.

What You’ll Be Doing:

• Design and own the development of robust benchmarking pipelines for SIL and HIL setups across NVIDIA’s robotics stack.
• Define key performance indicators and success metrics for evaluating robotic systems dedicated to perception, planning, and control.
• Develop automated testing frameworks that integrate with simulation environments and physical robots to assess system performance and reliability.
• Engage with versatile teams encompassing hardware, software, systems, and applied research to ensure alignment on evaluation goals and methodologies.
• Identify gaps in current testing infrastructure and propose solutions that improve coverage, scalability, and accuracy. Drive the benchmarking strategy for end-to-end evaluation of real-world robotic use cases, including performance under edge cases and long-tail scenarios.
• Mentor junior engineers and provide technical leadership across projects.

San Diego

Qualcomm's Multimedia R&D computer vision Group is seeking passionate candidates with expertise in Computer Vision and Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for multimedia applications enriching the embedded systems for Smartphone, IOT, Compute and Extended Reality.

The candidate should have a deep understanding in digital signal processing, and data-driven approaches in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python and C/C++ programming. The selected candidate will have responsibilities in the following areas: System architecture design and development of computer vision applications on Android/windows/Linux platforms. Research and develop efficient deep learning architectures and models for AI-enabled camera, video analytics, biometrics, and extended reality.

Research and development of multimedia applications by generative AI, including LLM, VLM, LVM, and other multi-modal models. This includes but not limited to video semantic analytics, human face and body 3D analysis, biometrics with forgery detection, face and body synthesis and editing with GenAI, and 3D body/face reconstruction/editing from 2D images.

Must have Qualifications - Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field. - 3+ years of professional experience in computer deep learning software development for applications like Computer Vision or Computer Graphics. - 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks. - Solid Background in software development, digital signal processing, computer vision or computer graphics. - Solid background in machine/deep learning fundamental knowledges and mathematics. - Proficiency in C/C++ and Python programming.

Preferred Qualifications - Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software. - Expertise in various networks architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, and ResNets models. - Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing. - Excellent written and verbal communication skills. - Track record of driving ideas from design through commercialization. - Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems. - Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization. Team Player.

Minimum Qualifications: • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

For more positions and to register: https://qualcomm.eightfold.ai/events/candidate/landing?plannedEventId=bkyZbLR19

Networking Opportunity

Want to meet our CTO Reese Kneeland at CVPR? Send your resume to reese@alljoined.com with [CVPR Meetup] in the subject line, and we can find a time to connect!

About Alljoined

Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting healthcare applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.

We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.

About the Role

We're seeking a talented and experienced Machine Learning Researcher to join our core R&D team in person at our offices in San Francisco, CA. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding systems. You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces.

Key Responsibilities

Research & Model Development:

• Develop, train, and refine state-of-the-art deep learning models for neural decoding, building on the latest advancements in ML architectures (e.g., transformers, diffusion models, etc).
• Explore novel approaches for modeling high-frequency timeseries EEG datasets along with a number of adjacent data modalities.
• Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack.

Collaboration & Publication:

• Collaborate with a team of neuroscientists and ML engineers to create scalable, end-to-end neural decoding solutions.
• Publish findings at top-tier ML and AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and contribute to open-source communities where appropriate.

Qualifications

Educational Background & Experience:

• Bachelor's degree in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Mathematics, Biomedical Engineering, etc), with 5-7 years of experience in ML research or applied ML engineering; OR
• Graduate degree (M.S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical Engineering) with 3+ years of experience in ML research or applied ML engineering.
• Candidates with a Ph.D. and/or experience in high profile ML research labs are strongly preferred.

Technical Expertise:

• Strong foundation in contemporary machine learning techniques, including multimodal representation learning, generative models, transformers, LLMs, and other advanced network architectures.
• A track record of high-quality research demonstrated by publications in top ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR).
• Strong proficiency in Python and PyTorch, familiarity with ML tooling, and distributed training.
• Experience working in a production-quality codebase with modern code review standards.

Compensation Range

\$120,000 - \$250,000/year + equity at an early stage startup

While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range.

Other Benefits

• Options for housing support
• Visa sponsorship
• 3% 401k matching
• Health insurance

RI, Carnegie Mellon University, Pittsburgh

Description

Location Pittsburgh, PA

Description Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go and make mobility more efficient and accessible for all. We’re searching for a Perception Platform Backend Engineer. The ideal candidate will enjoy the challenge of developing large-scale systems that track the autonomy development process and produce interactive metrics and insights. You’ll be writing analysis tools, generating and managing large datasets, and scaling out interconnected systems and services. The impact of your work will be fast and reliable ML model evaluation and involve tight collaboration within and across teams, including Simulation, Planning, Cloud, Tools, and more.

In this role, you will

Architect powerful backend systems that flow into dynamic web services and visualizations Build scalable services and specialized systems for Perception evaluations Improve the automation and reliability of large data processing pipelines Integrate backend data pipelines with human workflows in an efficient manner Significant ownership, independence, and leadership working across systems and teams Required Qualifications

BS / MS / PhD degree in Computer Science or a related field Excellent programming and software design skills in Python or C++/C Strong industry software experience (5+ years) Experience with backend design and data modeling Comfort working on large codebases and software systems Great collaboration and communication skills Desirable Qualifications (this section is optional)

Experience with containerized services in datacenter or cloud environments (e.g., AWS) Familiarity with rich sensor data (e.g., LIDAR, RADAR, camera) Knowledge of Perception and Autonomous Driving / ML Systems / ML Infrastructure

NVIDIA is searching for a world-class Research Scientist to join our growing Spatial Intelligence research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

What you will be doing:

• Apply deep learning techniques to the simulation of complex physical phenomena such as fluid dynamics, fracture of materials, combustion, audio synthesis and propagation, and more.
• Work on improving realism and immersive qualities of VR environments and interactions, including intelligent characters, behavior of crowds and traffic, and human-machine interface problems.
• Participate in numerous projects to conduct Deep Learning research and publish papers to well known conferences (ex. ICCV)
• Product development for technology in Games, Virtual Reality, Education and other applications.

What we need to see:

• PhD or equivalent experience in Computer Science or a related field.
• Expertise in computer graphics, simulation or game development.
• In depth experience with C++/C, CUDA, DX, or OpenGL.
• Dedication to producing high quality and creative results in a collaborative environment.

Ways to stand out from the crowd:

• Skills in efficient model architectures and efficient implementations.
• Sharp mathematics skills.

Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing

Cambridge, MA

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this ground-breaking shift in mobility, we’ve built an extraordinary team in Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.

The Mission

Make general-purpose robots a reality.

The Challenge

We envision a future where robots assist with household chores and cooking, aid older individuals in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate successfully in convoluted, unstructured environments. Our mission is to answer the question “What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?”. We believe that the answer lies in cultivating large-scale datasets of physical interaction from a variety of sources and building on the latest advances in machine learning to learn general-purpose robot behaviors from this data.

The Team

Our goal is to redefine the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently educated, learned, and improved over time in diverse, real-world environments.

We have a deep multi-functional expertise across simulation, perception, controls, and machine learning, and we measure our success in terms of fundamental capabilities development, as well as research impact via open-source software and publications. Our north star is a fundamental technological advancement in building robots that can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Join us and let’s make general-purpose robots a reality.

We operate a fleet of robots, and robot-embodied teachings and deployment are key parts of our strategy.

The Opportunity

We’re looking for a driven engineer with a “make it happen” mentality. The ideal candidate is able to operate independently when needed, but works well as part of a larger integrated group at the forefront of pioneering robotics and machine learning. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let’s talk about how we can create the next generation of AI-powered capable robots together!

Responsibilities

• Research and provide to the design of novel robotic systems through software development, including control, perception, planning, and their interactions with learned policies.

• Develop tooling, drivers, and controllers to enable stable and performant robotic platforms.

• Enable research into robot foundation models by working with mechanical/electrical engineers, technicians, and researchers to build and integrate new enabling robotics technologies.

• Help robotics research scientists work toward applying and integrating their research toward more robust, perceptive, and scalable systems.

• Design and integrate imaginative system solutions; combining actuation, structure, and sensing, as well as new mechanisms and sensory for human-scale manipulation.

Qualifications

• B.S. or equivalent experience in an engineering-related field and 4+ years of relevant industry experience.

• Strong software engineering skills; very familiar with working in mixed C++ and Python codebase.

• Multi-functional understanding of robotics software stacks.

• Experience with cloud-scalable workflows, for example, AWS.

• Experience with inter- and in-process communication, parallelism, logging, networking, and data systems, and common methods.

At NVIDIA, we're not just building the future—we're generating it. Our Cosmos generative AI engineering team is pushing the boundaries of what’s possible across multimodal learning, video generation, synthetic data, and intelligent simulation. We welcome hard-working engineers and applied scientists with deep experience in generative modeling to help define the next era of AI computing.

What you'll be doing:

• Design, post-train, and optimize novel world models (e.g., diffusion video models, VLMs, VLAs) for Physical AI applications.
• Contribute to highly-collaborative development on large-scale training infrastructure, high-efficiency inference pipelines, and scalable data pipelines.
• Work with teams in research, software, and product to bring world models from idea to deployment.
• Collaborate on open-source and internal projects, author technical papers or patents, and mentor junior engineers.
• Prototype rapidly and iterate on experiments across cutting-edge AI domains, including text-to-image/video generation, reinforcement learning, reasoning, and foundation models.
• Design and implement model distillation algorithms for size reduction and diffusion step optimization. Profile and benchmark training and inference pipelines to achieve production-ready performance requirements.

What we need to see:

• Pursuing BS, MS, or PhD in Computer Science, Machine Learning, Applied Math, Physics, or a related field (or equivalent experience)
• Proficiency in PyTorch, JAX, or other deep learning frameworks is a must!
• We are working on all range of foundation models. You should have expertise in one or more of: diffusion models, auto-regressive models, VAE/GAN architectures, retrieval-augmented generation, neural rendering, or multi-agent systems.
• Our models are predominantly built on the transformer architectures. You should be intimately familiar with all variants of the attention mechanisms.
• Hands on experience with large scale training (e.g., ZeRO, DDP, FSDP, TP, CP) and data processing (e.g. Ray, Spark).
• All we do is in Python and we open source our product, therefore production-quality software engineering skills is highly relevant.

Ways to stand out from the crowd:

• Familiarity with high-performance computing and GPU acceleration.
• Contributions to influential open-source libraries or influential conference publications (NeurIPS, ICML, CVPR, ICLR).
• Experience working with multimodal data (e.g., vision-language, VLA, audio).
• Prior work with NVIDIA GPU-based compute clusters or simulation environments.

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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 120,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.