Kodifly

About Kodifly

Transforming transport management with spatial data solutions

🏢 Tech👥 11-50📅 Founded 2021

Key Highlights

  • Specializes in transport infrastructure management solutions
  • Offers the SpatialSense Scanner and Cloud services
  • Located in San Francisco, CA
  • Focused on cost reduction and minimizing downtime

Kodifly is transforming transport infrastructure management with its SpatialSense Scanner and Cloud solutions, which leverage advanced spatial data analytics to optimize operations for clients in the logistics and transportation sectors. Based in San Francisco, Kodifly serves a growing customer base...

🎁 Benefits

Kodifly offers competitive salaries, equity options for employees, flexible remote work arrangements, and generous PTO policies to support work-life b...

🌟 Culture

Kodifly fosters a culture of innovation and agility, encouraging team members to think creatively and embrace new technologies in the transport sector...

Kodifly

Computer Vision Engineer Senior

KodiflyPakistan

Apply Now →

Overview

Kodifly is seeking a Senior Computer Vision & Robotics Engineer to enhance and optimize SLAM pipelines and 3D vision systems. You'll work with technologies like LiDAR and deep learning to solve complex spatial problems. This role requires 4+ years of hands-on experience in computer vision and robotics.

Job Description

Who you are

You have 4+ years of hands-on experience in computer vision and robotics, particularly in 3D perception and spatial data processing. You thrive in collaborative environments and enjoy taking ownership of real projects that impact production systems. Your expertise includes designing and implementing algorithms for 3D point cloud processing, object detection, and segmentation. You are skilled in enhancing and optimizing SLAM pipelines for both mobile and static environments, and you have experience with camera–LiDAR calibration and multi-sensor data alignment. You are familiar with applying deep learning techniques to both 2D and 3D spatial data, and you have a strong understanding of integrating and optimizing tools such as Open3D and 2D+3D inference models into existing systems. You are passionate about solving complex spatial problems and building real-world AI systems.

Desirable

Experience with NVIDIA GPUs for optimizing computer vision models and pipelines is a plus. Familiarity with robotics use cases will also be beneficial as you work on innovative projects that leverage AI-powered analytics and spatial intelligence.

What you'll do

In this role, you will be responsible for designing and implementing algorithms that enhance the capabilities of our infrastructure monitoring and management systems. You will work on 3D point cloud processing, focusing on object detection and segmentation to improve the accuracy and efficiency of our spatial data analytics. Your work will involve enhancing and optimizing SLAM pipelines, ensuring they function effectively in real-time environments. You will collaborate closely with teams in Pakistan and Hong Kong, sharing insights and strategies to improve our systems. You will also be tasked with camera–LiDAR calibration and aligning multi-sensor data to create a cohesive understanding of spatial environments. Your role will require you to apply deep learning techniques to both 2D and 3D data, pushing the boundaries of what our systems can achieve. You will integrate and optimize tools like Open3D into our existing frameworks, ensuring that our technology remains at the forefront of the industry.

What we offer

Kodifly provides a collaborative and growth-focused engineering environment where your contributions will directly impact the efficiency and safety of infrastructure management. We offer competitive salary and equity options, along with fast-track growth opportunities for high performers. Join us in transforming how cities and enterprises manage their infrastructure through innovative AI solutions. If you have solid hands-on experience in computer vision and robotics, we encourage you to apply even if your experience doesn't match every requirement. Together, we can build real-world AI systems that make a difference.

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