Research Scientist, Robotics Research - PhD New College Grad 2026

NVIDIA
Seattle
Workplace: OnsiteFull timeUSD 168,000 - 264,500 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Interpersonal skills","Teamwork","Problem-solving"]

Research Scientists in NVIDIA’s Seattle Robotics Lab develop algorithms and models for robotic manipulation and loco-manipulation, integrate methods into real-world robotic systems, collaborate across robotics and ML teams, publish in top venues, and mentor PhD interns while helping transfer research into NVIDIA products and platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
6 months ago

Research Scientist, Robotics Research - PhD New College Grad 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Research Scientists in NVIDIA’s Seattle Robotics Lab develop algorithms and models for robotic manipulation and loco-manipulation, integrate methods into real-world robotic systems, collaborate across robotics and ML teams, publish in top venues, and mentor PhD interns while helping transfer research into NVIDIA products and platforms.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications.
  • •Integrating these methods into real-world robotic manipulation systems, including collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands.
  • •Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack.
  • •Engaging with the academic community through high-impact publications, conferences, workshops, and code releases.
  • •Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; mentoring interns joining NVIDIA during their PhD programs.

Pay and Benefits

Salary: USD 168,000 - 264,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
  • •A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
  • •Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
  • •Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
  • •Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Experience:RoboticsAIResearch
Education:PhD / Doctorate
Skills:CommunicationCollaborationInterpersonal skillsTeamworkProblem-solving
Tech Stack:PythonPyTorchJAXROSROS2MuJoCoIsaac SimIsaac LabCUDAC++

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
WebsiteLinkedInGlassdoor