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Computer Vision Engineer

$140k - $260k

Archer

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.

Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

Note: This role must be based onsite in the United States. Visa sponsorship is not available for this position.

What you'll do:
  • Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities
  • Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment
  • Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar
  • Optimize perception algorithms for real-time performance on embedded compute
  • Analyze test data to characterize and improve perception performance
  • Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system
What you need:
  • Strong background in computer vision and/or machine learning, with a degree in a related technical field or equivalent experience
  • Proficiency in C++ and Python
  • Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV)
  • Experience processing lidar and/or radar point-cloud data
  • Experience with sensor calibration and multi-sensor fusion
  • Demonstrated ability to take algorithms from concept through real-time, embedded deployment
Bonus Qualifications:
  • Experience deploying perception models on NVIDIA Jetson / CUDA-based embedded platforms
  • Experience with precision or automated landing systems
  • Background in subscale aircraft, robotics, or vehicle perception

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at View email address on click.appcast.io. Reasonable accommodations will be determined on a case-by-case basis. For this position we are targeting a base pay between $140,000 - $260,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to View email address on click.appcast.io. All employment processes are managed by the Archer People Team.
Vacancy posted 3 days ago
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