Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 17 hours ago

Computer Vision Engineer, Aerial Autonomy

eyesatop/fa.00618 open roles

Where
New York Metropolitan Area, NY
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowComputer Vision Engineer, Aerial Autonomyeyesatop/fa.006 · New York Metropolitan Area, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on eyesatop/fa.006's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: first seen 17 hours ago

The posting

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against eyesatop/fa.006's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on eyesatop/fa.006's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    eyesatop/fa.006's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.