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Commission Remote Computer Vision Engineer Jobs in New York, NY

AITAN

Computer Vision Engineer, Aerial Autonomy

New York, NY · On-site +1

$180K - $220K/yr

The Role We are looking for an exceptional Computer Vision Engineer to join our research team and own the perception layer that powers our autonomous aerial systems. You will design and build the ...

New

Alta Ares

Software Engineer -- VIE USA

New York, NY · Remote

Role & Mission This VIE is Alta Ares' software engineering presence in the United States -- a ... You will contribute to the AI, computer vision, and embedded software stack that underpins Alta ...

Infotech Sourcing

Web Developer III

Manhattan, NY · Remote

US - NY - Remote Job Title: Infrastructure Engineering - Web Developer III Summary We're seeking ... computer vision, and computer-use agents nice to have: experience working in a research lab ...

HMG Careers

Remote Commission Sales Specialist

Lodi, NJ · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

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All JobsComputer Vision Engineer JobsCommission Remote Computer Vision Engineer JobsCommission Remote Computer Vision Engineer Jobs in New York, NY

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How much do commission remote computer vision engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for commission remote computer vision engineer in New York, NY is $132,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

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Commission Remote Computer Vision Engineer jobs near you
Infographic showing various Commission Remote Computer Vision Engineer job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.

Computer Vision Engineer, Aerial Autonomy

AITAN

New York, NY • On-site, Remote

$180K - $220K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New

Key responsibilities

  • Design, implement, and improve vision-based situational awareness systems for autonomous aerial systems.

  • Build and maintain a shared 3D environment model by fusing perception data from multiple aircraft.

  • Develop perception algorithms such as object detection, tracking, classification, and semantic scene understanding for real-time operation in contested environments.

Job description

Description
AITAN is building the operating platform for multi-drone warfare, a battle-proven system that augments, deploys, and orchestrates autonomous drone fleets across any mission, any environment, and any vendor. With over 500,000 hours of frontline operational use and TRL-9 validation, our software is not a prototype. It runs in combat, every day, shaping outcomes in some of the most contested and complex environments on earth.
We unify drone control, edge-AI processing, and mission execution into a single operational loop, from detection to decision to strike. Our platform gives a single operator the ability to command and coordinate an entire fleet in real time: persistent aerial surveillance, automated target recognition, shared tactical picture, and seamless handoff from ISR to kinetic response, without manual delay.
We are expanding our US engineering team in the New York metropolitan area. Our office is easily accessible from New York City. If you want to work on technology that matters, not in a lab, but validated in the field, this is the role for you.
The Role
We are looking for an exceptional Computer Vision Engineer to join our research team and own the perception layer that powers our autonomous aerial systems. You will design and build the systems that give our drones and the operators behind them a real-time, shared understanding of the operational environment. Your algorithms will run at the edge, in contested airspace, with real operational stakes.
You will take perception capabilities from concept and simulation through live flight experiments to production deployment, iterating rapidly on real-world flight data and operational edge cases. The quality of your work directly determines what warfighters can see, understand, and act on.
What you'll do
  • Design, implement, and continuously improve vision-based situational awareness systems that give aircraft and ground operators a unified, real-time understanding of the operational environment
  • Build and maintain a shared world model across the fleet, fusing perception data from multiple aircraft into a coherent 3D representation that all agents can query and act on
  • Implement object detection, tracking, and classification pipelines covering dynamic obstacles, terrain, infrastructure, and other aircraft
  • Develop semantic scene understanding to power onboard autonomy and off-board mission planning
  • Design multi-agent perception architectures that aggregate observations across the fleet, resolve conflicting views, and maintain a consistent, up-to-date environmental state
  • Build perception that functions in GNSS-denied and EW-contested environments: your systems must work when GPS is unavailable and comms are degraded
  • Combine classical computer vision with modern deep learning to deliver robust, low-latency perception across diverse terrain, lighting, and atmospheric conditions
  • Own the full algorithm lifecycle: design → simulation → onboard and offboard deployment → production tuning and ongoing field improvement
  • Collaborate directly with flight controllers, system engineers, and operations teams, iterating rapidly on real-world flight data and operator feedback

Requirements
  • M.Sc. in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or a closely related discipline
  • 4+ years of experience developing computer vision, perception, or autonomy algorithms for production systems
  • Strong command of both classical computer vision and modern deep learning; you know when to use each
  • Hands-on experience with object detection, SLAM, visual odometry, or 3D scene understanding
  • Proven track record of taking algorithms from research into real-world environments under genuine operational constraints
  • Proficiency in Python and C++; experience deploying algorithms under real-time and latency constraints
  • Comfortable working closely with hardware, sensors, and embedded compute platforms
  • Experience with modern neural network architectures and deploying trained models in constrained environments

Strong fit if
  • You have a Ph.D. in a relevant field
  • You have experience with drones, aerial systems, or autonomous robotics, ideally in a defense or field-tested context
  • You've built perception systems for GNSS-denied or GPS-degraded navigation (visual-inertial odometry, optical flow)
  • You have experience with multi-sensor fusion, sensor calibration, or sensor-agnostic perception pipelines
  • You've participated in simulation-to-real workflows and live flight testing programs
  • You have experience deploying models on edge compute hardware such as NVIDIA Jetson, Qualcomm, or similar
  • You've worked in a fast-paced defense tech or deep-tech startup environment where field feedback drives rapid iteration

Benefits:
  • Dental Insurance
  • Health Insurance
  • Paid time off
  • Vision Insurance

Compensation: $180,000 - $220,000 base salary

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