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Nvidia Robotics Jobs in New York (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

Tata Consultancy Services

AI Researcher

Edison, NJ · On-site

... and NVIDIA Jetson/Isaac SDKs. * Implement algorithms for navigation, path planning, and control integration. Collaboration & Innovation * Partner with cross-functional teams in AI, robotics, and ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

Tata Consultancy Services

AI Researcher

Edison, NJ

... and NVIDIA Jetson/Isaac SDKs. * Implement algorithms for navigation, path planning, and control integration. Collaboration & Innovation * Partner with cross-functional teams in AI, robotics, and ...

Amazon

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

... robots move, perceive, and act in the real world. This is a hands-on ML role: you will train ... hardware (NVIDIA Jetson) with strict latency and memory constraints Build and maintain MLOps ...

Amazon

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

... robots move, perceive, and act in the real world. This is a hands-on ML role: you will train ... hardware (NVIDIA Jetson) with strict latency and memory constraints Build and maintain MLOps ...

New York University

Post Doctorate Associate

New York, NY · On-site

$62K/yr

... robots, legged robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym ...

New York University

Research Associate

New York, NY · On-site

$48K - $65K/yr

... robots, legged robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

Job Summary : Norbert Health is building autonomous robots that deliver healthcare. They are ... NVIDIA Triton • Build and maintain MLOps pipelines for model training, validation, and ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

... robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym, Simulator, as ...

Amazon

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

... hardware (NVIDIA Jetson) with strict latency and memory constraints Build and maintain MLOps ... Our goal is simple: make robots people actually want to live and interact with in everyday human ...

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Nvidia Robotics information

See New York salary details

$91.9K

$105K

$127.5K

How much do nvidia robotics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for nvidia robotics in New York is $105,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $111,600.00 per year, depending on experience, location, and employer.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

What are the typical responsibilities of a robotics engineer at Nvidia?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the key skills and qualifications needed for a robotics position at Nvidia?

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and AI technologies to advance robotics applications. Job seekers interested in Nvidia Robotics should have skills in software development, AI, and robotics hardware integration.

How much do Nvidia Robotics engineers make?

Nvidia Robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers or those with specialized skills in AI, machine learning, or robotics may earn higher salaries. Compensation often includes benefits such as stock options and bonuses.

What are the most commonly searched types of Nvidia Robotics jobs in New York?

The most popular types of Nvidia Robotics jobs in New York are:

What are popular job titles related to Nvidia Robotics jobs in New York?

For Nvidia Robotics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Nvidia Robotics jobs in New York look for?

The top searched job categories for Nvidia Robotics jobs in New York are:

Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in New York as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $105,027 per year, or $50.5 per hour.

Computer Vision/ML Engineer

Norbert Health

New York, NY • On-site

$122K - $143K/yr

Full-time

Re-posted 12 hours ago

Job description

The company
Norbert is building autonomous robots that deliver healthcare.
Our AI sensing platform mounts on mobile robots and does the work of a care team member-rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.
We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.
We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.
The position
We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.
What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:
  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary and equity
  • Transparent, mission-driven culture focused on continuous learning

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