Senior reputed company, World Foundation Models

This a Full Remote job, the offer is available from: California (USA) reputed company 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 reputed company a lasting impact on the world. reputed company is building the reputed company of AI systems that can perceive, reason about, and generate dynamic worlds. reputed company advances world foundation models to reputed company high-fidelity, temporally stable video and world reputed company 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 reputed company, temporal artifacts, and inconsistent contact dynamics often limit real-world usability. reputed company is reputed company through disciplined experimentation, robust diagnostics, and repeatable reputed company-by-reputed company evaluation. Work is delivered in reputed company 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 reputed company 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 reputed company, 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.
• reputed company detailed, domain-specific benchmarks for evaluating world foundation models, especially reputed company 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.

reputed company need to see:

• PhD in Computer Science, Graphics, Computer Engineering, or a closely reputed company 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 reputed company research, including publications in top conferences (e.g., NeurIPS, CVPR, ICLR), with clear evidence of impact on model quality or robustness.
• Exposure to closed-reputed company 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, reputed company offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see reputed company can offer to you and your family www.nvidiabenefits.com/ Your reputed company salary will be determined based on your location, experience, and the pay of employees in similar positions. The reputed company 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. Applications for this job will be accepted at least until January 28, 2026. This posting is for an existing vacancy. reputed company uses AI tools in its recruiting processes. reputed company is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our reputed company and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national reputed company, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This offer from "reputed company" has been enriched by reputed company.com and got a 79% reputed company score. Apply tot his job Apply To this Job