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Computer Vision Robotics Jobs (NOW HIRING)

Computer Vision/ML Engineer

New York, NY

$122K - $143K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

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 ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Senior Robotics Engineer

Cambridge, MA

$114K - $156K/yr

We're building the world's first robotic hair-braiding system-integrating computer vision, robotics, compliant fiber manipulation, and novel mechatronic machines. This is one of the hardest unsolved ...

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career. * At least a master's degree in computer science, Electrical ...

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Computer Vision Robotics information

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$33.5K

$48.3K

$63.5K

How much do computer vision robotics jobs pay per year?

As of Jun 23, 2026, the average yearly pay for computer vision robotics in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What types of projects and challenges might I work on as a Computer Vision Robotics professional?

As a Computer Vision Robotics professional, you can expect to work on projects like developing autonomous navigation for robots, creating real-time object detection systems, or improving industrial automation through machine vision. Daily tasks often involve coding algorithms, integrating hardware and sensors, and testing robots in various operational environments. Common challenges include optimizing vision systems for accuracy and speed, ensuring robust performance in diverse real-world conditions, and collaborating with mechanical and electrical engineers. This field is dynamic and demands ongoing learning to keep up with advances in artificial intelligence, hardware, and automation techniques.

What is a Computer Vision Robotics job?

A Computer Vision Robotics job involves developing algorithms and systems that enable robots to interpret and understand visual data from cameras and sensors. Professionals in this role work on tasks like object recognition, navigation, real-time decision-making, and automation. They use technologies such as machine learning, deep learning, and image processing to enhance robot perception. These jobs are commonly found in industries like manufacturing, healthcare, autonomous vehicles, and agriculture. Strong programming skills in languages like Python and C++, along with experience in frameworks like OpenCV and TensorFlow, are often required.

What are the key skills and qualifications needed to thrive in the Computer Vision Robotics position, and why are they important?

To thrive as a Computer Vision Robotics professional, you need a solid background in computer vision, robotics engineering, and proficiency with programming languages like Python or C++, often supported by a degree in computer science, engineering, or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), robotics middleware (like ROS), and hands-on familiarity with relevant hardware are highly valuable. Strong problem-solving abilities, creativity, and collaboration skills make candidates stand out in multidisciplinary teams. These skills are critical for designing and implementing innovative computer vision solutions that enable autonomous robotic systems to operate effectively in real-world environments.

More about Computer Vision Robotics jobs
What cities are hiring for Computer Vision Robotics jobs? Cities with the most Computer Vision Robotics job openings:
What are the most commonly searched types of Computer Vision Robotics jobs? The most popular types of Computer Vision Robotics jobs are:
What states have the most Computer Vision Robotics jobs? States with the most job openings for Computer Vision Robotics jobs include:
What job categories do people searching Computer Vision Robotics jobs look for? The top searched job categories for Computer Vision Robotics jobs are:
Infographic showing various Computer Vision Robotics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Computer Vision/ML Engineer

Computer Vision/ML Engineer

Norbert Health

New York, NY

$122K - $143K/yr

Full-time

Posted 16 days 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