CVPR 2026 Career Opportunities

Sunnyvale, CA

Role Description: We are seeking a Senior Frontend Software Engineer to help build and evolve the frontend systems that support Matterport’s mobile capture and marketplace experiences. This role sits within the mobile organization and focuses on developing TypeScript-based frontend components and workflows that integrate directly into native mobile applications and connect with Matterport’s 3D and platform services.

We are looking for someone who enjoys building frontend systems that operate at the intersection of mobile, platform, and 3D workflows. In this role, you’ll work closely with iOS, Android, and 3D engineering teams to develop embedded frontend experiences, support capture and review workflows, and integrate Matterport technology into CoStar’s marketplaces. This is not a native mobile or 3D rendering role, but a frontend engineering position focused on building reliable, maintainable, and scalable frontend functionality that lives alongside mobile products.

Responsibilities: - Design and deliver high-quality Front End systems and user interfaces using TypeScript and modern frontend frameworks, with a strong focus on maintainability, and scalability. - Build components and experiences that support and extend mobile workflows by embedding the components into native applications - Develop complex workflows which can run offline and support two-way communication between native applications and web components - Utilize libraries and frameworks to visualize spatial data within mobile components - Stay current with evolving mobile and TypeScript ecosystems, applying new tools and patterns where they provide clear value. - Work with a cross-functional team of product managers, designers, mobile engineers, and platform engineers to deliver features that integrate into CoStar’s mobile products and marketplace ecosystems. - Collaborate closely with 3D engineering teams to integrate frontend experiences with 3D-powered services - Champion frontend best practices including TypeScript patterns, strong typing, performance optimizations, and clean architectural design. - Create prototypes or proof-of-concepts to validate new frontend ideas, integrations, or platform capabilities where they intersect with mobile or marketplace products. - Implement and maintain appropriate unit and integration tests to ensure frontend reliability and long-term stability. - Work closely with QA and customer-facing teams to triage issues, maintain existing functionality, and improve overall product quality.

Basic Requirements: - 5+ years of experience designing and delivering frontend applications using TypeScript - Experience working with cross‑functional teams including Product, Design, and Engineering - Experience writing maintainable code and participating in code reviews - Experience implementing unit and integration tests - Familiarity working with frontend systems that integrate with backend services or platform APIs

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.

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.