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Embedded Computer Vision Jobs (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

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

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

The CVE will own the design, training, optimization, and deployment of computer vision models running on resource-constrained embedded hardware, working directly with flight software, autonomy, and ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Computer Vision. We are looking for excellent problem solvers to: * Contribute to multi-sensor data ... Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs * Previous work with ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

Merlin

Computer Vision Engineer

Boston, MA · On-site

$121K - $142K/yr

Computer Vision Specialist Merlin is a venture backed aerospace startup building a non-human pilot ... Familiarity with real-time embedded systems or GPU optimization. * Knowledge of multi-sensor fusion ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... Working knowledge of embedded systems and architectures, especially hardware CV accelerators.

Merlin Labs

Computer Vision Engineer

Boston, MA

$121K - $142K/yr

About You: You're a computer vision specialist who loves turning raw sensor data into actionable ... Familiarity with real-time embedded systems or GPU optimization. * Knowledge of multi-sensor fusion ...

Qualcomm

Computer Vision Architect

San Diego, CA · On-site

Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most ... Working knowledge of embedded systems and architectures, especially hardware CV accelerators.

Merlin Labs

Computer Vision Engineer

Boston, MA

$121K - $142K/yr

About You: You're a computer vision specialist who loves turning raw sensor data into actionable ... Familiarity with real-time embedded systems or GPU optimization. * Knowledge of multi-sensor fusion ...

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Embedded Computer Vision information

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$70K

$153.4K

$174K

How much do embedded computer vision jobs pay per year?

As of Jun 5, 2026, the average yearly pay for embedded computer vision in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Computer Vision Engineer, and why are they important?

To thrive as an Embedded Computer Vision Engineer, you generally need strong programming skills in C/C++, a deep understanding of computer vision algorithms, and experience with embedded systems, often supported by a degree in computer engineering or a related field. Familiarity with tools and frameworks like OpenCV, TensorFlow Lite, and hardware platforms such as ARM Cortex or NVIDIA Jetson, as well as relevant certifications, is highly valuable. Critical soft skills include problem-solving, attention to detail, and effective communication for collaborating with multidisciplinary teams. These competencies ensure robust, efficient deployment of vision solutions on resource-constrained devices, driving innovation and product performance.

What are some typical challenges faced by professionals in embedded computer vision roles, and how can they be addressed?

Professionals in embedded computer vision often encounter challenges such as limited processing power, memory constraints, and real-time performance requirements on edge devices. To address these, it's essential to optimize algorithms for efficiency, leverage hardware accelerators (like GPUs or dedicated vision processors), and carefully manage memory usage. Collaboration with hardware engineers and software developers is common to ensure that solutions are both performant and scalable. Staying updated with the latest advances in model compression and efficient neural network architectures is also critical for success in this role.

What is embedded computer vision?

Embedded computer vision refers to the integration of computer vision algorithms and techniques directly into hardware devices, such as cameras, smartphones, autonomous vehicles, or industrial machinery. Unlike traditional computer vision systems that require powerful external computers, embedded computer vision systems process visual data locally on devices with limited resources. This allows for real-time image and video analysis, lower latency, improved privacy, and reduced energy consumption, making them ideal for applications like robotics, surveillance, and IoT devices.
Infographic showing various Embedded Computer Vision job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Computer Vision/ML Engineer

Computer Vision/ML Engineer

Norbert Health

New York, NY • On-site

$122K - $143K/yr

Full-time

Posted 28 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

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