Research Engineer, Interactive World Models

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Collaboration"]

Build and optimize world-model systems that turn generative video research into real-time, stateful simulations. Own the continuous autoregressive serving loop, including per-step control, KV-cache and state management, GPU inference, and frame streaming. Collaborate with researchers on few-step distillation, reward fine-tuning, action conditioning, and long-horizon memory, then deliver multi-user simulation workflows from prototype to release.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Research Engineer, Interactive World Models

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Build and optimize world-model systems that turn generative video research into real-time, stateful simulations. Own the continuous autoregressive serving loop, including per-step control, KV-cache and state management, GPU inference, and frame streaming. Collaborate with researchers on few-step distillation, reward fine-tuning, action conditioning, and long-horizon memory, then deliver multi-user simulation workflows from prototype to release.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Build and optimize a continuous autoregressive serving loop with per-step control inputs, KV-cache/state management, GPU inference, frame streaming, and model integrations.
  • •Advance production-ready world-model capabilities with few-step distillation, causal/autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency.
  • •Deliver multi-user experiences and simulation workflows across the full pipeline: prototype, evaluation, integration, and release.
  • •Partner with applied researchers and domain teams to meet quality, performance, and reliability goals.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience in areas such as video or world models, diffusion/generative modeling, model distillation and adaptation, simulation, robotics, computer vision, or real-time stateful ML systems.
  • •BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
  • •3+ years building, evaluating, integrating, optimizing, or serving machine-learning systems via industry, academic research, open-source, or substantial projects.
  • •Strong Python and PyTorch skills, plus software-engineering fundamentals in design, testing, debugging, version control, performance analysis, and Linux development.
  • •Ability to turn open-ended technical problems into working implementations, measure quality/performance, and communicate results clearly.
Experience:3+ yearsMachine learningGenerative AIComputer visionRoboticsSimulation
Education:Bachelor's
Skills:Problem-solvingCommunicationCollaboration
Tech Stack:PythonPyTorchLinux

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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