NVIDIA

NVIDIA

Designs GPUs and AI HPC platforms

Research Scientist – PhD New College Grad 2026 - Robotics Research

Full-Time
$168k - $264.5k/yr

+ Equity

Entry
PhD
Seattle, WA, USA
In Person

On-site in Fremont neighborhood, Seattle, Washington.

Company Historically Provides H1B Sponsorship

About the job

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.
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 those consisting of 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.
Desired Qualifications
  • Bimanual and dexterous manipulation
  • Mobile manipulation and humanoid loco-manipulation
  • Multisensory perception (e.g., vision, tactile, and force/torque sensing)
  • Simulation, sim-to-real, and real-to-sim
  • Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
  • Industrial applications, such as bin-picking, kitting, and assembly

About the company

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify's Take

What believers are saying

  • September 28, 2026 board approval added $150 billion buyback authorization, signaling cash generation strength.
  • ByteDance and Alibaba chip-purchase reports on September 27, 2026 reopen a blocked China revenue stream.
  • Over 100 partners joined Open Agent Safety Platform at launch, including Microsoft, JPMorganChase, and SpaceXAI.

What critics are saying

  • China’s September 27, 2026 RTX PRO 5500 reports show export controls still throttle Nvidia sales.
  • OpenAI, Meta, and Google incidents prove agent safety failures can taint Nvidia’s platform credibility fast.
  • A 2027 AI spending downturn would crush data-center demand and expose Nvidia’s customer concentration.

What makes NVIDIA unique

  • CUDA and Blackwell lock developers into Nvidia’s software-hardware stack, unlike commodity chip rivals.
  • September 28, 2026 Open Agent Safety Platform extends Nvidia into agent governance and robotics.
  • BlueField-4 and Vera CPUs let Nvidia control data-center security, networking, and compute together.

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Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↓ -1%

2 year growth

↓ -2%
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Gecko Robotics has partnered with Nvidia to develop safety protocols for AI-powered robots operating in critical infrastructure and military applications. The collaboration focuses on the Open Agent Safety Platform, which aims to keep humans in control whilst enabling AI agents to gather data and direct robotic actions. Gecko Robotics CEO Jake Loosararian emphasised the importance of establishing proper safeguards as AI systems increasingly interact with physical infrastructure. The company describes itself as one of the largest deployers of robotics in real-world settings, with operations affecting critical infrastructure including energy facilities and military assets. The partnership seeks to enable safe deployment of agentic AI tools whilst maintaining human oversight, particularly in high-stakes environments where AI errors could cause significant physical damage or security risks.

Ars Technica
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China is reportedly considering allowing ByteDance and Alibaba to purchase Nvidia's banned RTX Pro 5500 gaming chips, which could be used to power AI models. ByteDance plans to order 1 million chips if approved, securing two quarters of projected sales for Nvidia. Nvidia CEO Jensen Huang has become increasingly influential with President Trump on AI policy. Treasury Secretary Scott Bessent confirmed Trump is "completely aligned with Jensen Huang." Critics worry Nvidia's profit motivations may be steering Trump's thinking on AI regulation. Trump initially tightened export controls but reversed course after meeting Huang at Mar-a-Lago, later lifting restrictions on H200 chips. Neither the US nor China discussed slowing AI development at their recent summit, despite concerns from lawmakers and national security experts about potential risks.

Yahoo Finance
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Yahoo Finance
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