Research Engineer, Interactive World Models - New College Grad 2026

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 108,000 - 178,250 annuallyFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Problem-solving","Communication","Debugging","Performance optimization","Collaboration"]

Build and optimize the continuous autoregressive serving loop for interactive world models, including per-step control inputs, GPU inference, KV-cache state management, and frame streaming. Partner with researchers to advance production-ready world model capabilities like distillation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory. Deliver simulation workflows from prototype to release and strengthen the open-source platform with testing, CI/CD, observability, and documentation.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Research Engineer, Interactive World Models - New College Grad 2026

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Last checked: 16 hours agoStatus: Live

Job Summary

Build and optimize the continuous autoregressive serving loop for interactive world models, including per-step control inputs, GPU inference, KV-cache state management, and frame streaming. Partner with researchers to advance production-ready world model capabilities like distillation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory. Deliver simulation workflows from prototype to release and strengthen the open-source platform with testing, CI/CD, observability, and documentation.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Entry level

Key Responsibilities

  • •Contribute to building and optimizing the continuous autoregressive serving loop, including per-step control inputs, model/KV-cache state management, GPU inference, frame streaming, and integrations.
  • •Advance the production-ready world model frontier with researchers using few-step distillation, causal/autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory.
  • •Deliver multi-user experiences and simulation workflows from prototype through evaluation, integration, and release.
  • •Strengthen the open-source platform through testing, CI/CD, observability, documentation, and developer workflows, improving reliability and adoption.
  • •Collaborate across the world-model ecosystem to turn research capabilities into systems that work in real applications.

Pay and Benefits

Salary: USD 108,000 - 178,250 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience or coursework in areas such as video/world models, diffusion and generative modeling, model distillation/adaptation, simulation, robotics, computer vision, or real-time stateful ML systems.
  • •Pursuing or recently completed a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • •Hands-on experience building, evaluating, integrating, optimizing, or serving machine-learning systems via internships, academic research, open-source, or substantial projects.
  • •Strong Python and PyTorch skills with software-engineering fundamentals (design, testing, debugging, version control, performance analysis) and Linux development.
  • •Ability to turn an open-ended technical problem into a working implementation, measure quality/performance, and clearly communicate results.
Experience:Machine learningGenerative modelingComputer visionRoboticsOpen source
Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering (or related field)
Skills:Problem-solvingCommunicationDebuggingPerformance optimizationCollaboration
Tech Stack:PythonPyTorchLinuxCUDATritonTensorRTTorch.compile

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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