Senior AI Engineer, World Foundation Models job opportunity at NVIDIA.

Home Jobs In Canada Tag: World Foundation Models Senior AI Engineer, World Foundation Models position at NVIDIA


DatePosted 27 Days Ago bot
NVIDIA Senior AI Engineer, World Foundation Models
Experience: Highly Experienced
Pattern: Remote
Country:
apply Apply Now
Salary:
Status:

World Foundation Models

Copy Link Report
degreePhD
loacation Canada, Remote, Canada
loacation Canada, Remote....Canada

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is building the next generation of AI systems that can perceive, reason about, and generate dynamic worlds. Our team advances world foundation models to enable high-fidelity, temporally stable video and world generation for Physical AI, simulation, and interactive experiences. This role operates at the applied-research boundary: developing and validating model improvements, then hardening them into production-grade checkpoints and recipes that teams can reliably build on. The technical focus is human appearance, motion, and interaction, where identity drift, temporal artifacts, and inconsistent contact dynamics often limit real-world usability. Progress is measured through disciplined experimentation, robust diagnostics, and repeatable side-by-side evaluation. Work is delivered in close partnership with data, platform, and product engineering to ensure improvements translate into real-time performance and user-visible quality. What you'll be doing: Research, implement, and validate model architecture and algorithm changes that improve video generation fidelity, with emphasis on human-centric quality (identity preservation, anatomy, motion coherence, and interaction realism). Explore and prototype improvements across spatial multimodal modeling, modality alignment, flow-based or diffusion-based video generation, and neural rendering-inspired representations to improve controllability and long-horizon consistency. Improve training and inference efficiency through architectural and post-training techniques (compute/memory optimizations, distillation, pruning, and compression). Define model training objectives that improve sim-to-real and real-to-sim generalization, especially for human motion, contact, and interaction dynamics across real-world and synthetic/simulation data. Develop detailed, domain-specific benchmarks for evaluating world foundation models, especially generation and understanding world models that reason about video, simulation, and physical environments. Translate research results into robust implementations like training code, production-grade checkpoints, model integrations, and demos that clearly showcase capability gains across teams. What we need to see: PhD in Computer Science, Graphics, Computer Engineering, or a closely related field (or equivalent experience). 8+ years of applied research and/or industry experience in vision, graphics, or adjacent ML domains (or equivalent experience). 4+ years of direct experience designing, training, and evaluating generative models for image/video/audio, with strong fundamentals in modern deep learning. Hands-on experience improving generative models with a focus on perceptual quality and temporal stability, especially for generating humans. Advanced proficiency in Python, PyTorch, C++, and CUDA with strong research-engineering practices (reproducibility, testing, profiling, experiment tracking). Experience training and debugging large models in multi-GPU and/or multi-node environments and distributed training workflows Practical knowledge of inference/runtime bottlenecks and optimization techniques (e.g., batching, parallelism strategies, low-precision/quantization awareness, attention/KV-cache efficiency) Strong “eye for quality” and interest in diagnosing visual artifacts (sharpness, texture detail, temporal stability, etc.) using perceptual metrics, human preference signals, or learned evaluators. Ways to stand out from the crowd: Proven track record in related research, including publications in top conferences (e.g., NeurIPS, CVPR, ICLR), with clear evidence of impact on model quality or robustness. Exposure to closed-loop training setups (e.g., reinforcement learning or preference-based optimization) for improving controllability, stability, and interaction quality in generated sequences. 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 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until February 6, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes.

Other Ai Matches

Senior Embedded Solutions Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Kernel Software Performance Architect Applicants are expected to have a solid experience in handling Job related tasks
Implementation Methodology Engineer - GPU Applicants are expected to have a solid experience in handling Job related tasks
Senior Solutions Architect, Infrastructure Applicants are expected to have a solid experience in handling Infrastructure related tasks
Software Manager, ITPE Applicants are expected to have a solid experience in handling ITPE related tasks
Global Head of Business Development, Digital Health Applicants are expected to have a solid experience in handling Digital Health related tasks
Senior Product Marketing Manager - Data Processing Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Performance Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior Product Manager, AI Infrastructure Software Applicants are expected to have a solid experience in handling AI Infrastructure Software related tasks
Venture Associate MBA Intern - Summer 2026 Applicants are expected to have a solid experience in handling Job related tasks
Senior Deep Learning Compiler Engineer - PyTorch Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Senior Quantum Algorithm Researcher Applicants are expected to have a solid experience in handling Job related tasks
Senior HPC and Quantum Systems Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Solutions Architect, NVIS Customer Infrastructure Management Applicants are expected to have a solid experience in handling NVIS Customer Infrastructure Management related tasks
Principal Product Manager, AI Frameworks Applicants are expected to have a solid experience in handling AI Frameworks related tasks
Senior Tools Development Engineer Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Software Architecture Engineer Applicants are expected to have a solid experience in handling Job related tasks
Principal Quantum Error Correction Research Scientist, Applied Research Applicants are expected to have a solid experience in handling Applied Research related tasks
Manager, AI Agents and Applied Research Applicants are expected to have a solid experience in handling AI Agents and Applied Research related tasks
Server Firmware Developer (RDSS Intern) Applicants are expected to have a solid experience in handling Job related tasks
Software Solutions Engineer - Cloud and Graphics Technologies Applicants are expected to have a solid experience in handling Job related tasks
Senior System Software Engineer, GPU Performance Profiling Applicants are expected to have a solid experience in handling GPU Performance Profiling related tasks
Senior Software Engineer, ASIC Design and Verification Tools Applicants are expected to have a solid experience in handling ASIC Design and Verification Tools related tasks