Computer Vision Engineer (Autonomous Driving)

42dot; Mountain View (WY); On-site; USD 80,000 - 140,000; Full time

Job summary

An innovative firm is seeking a Computer Vision Engineer to advance autonomous driving technologies. In this role, you will leverage sophisticated computer vision and machine learning techniques to process visual data from autonomous vehicles. Your work will involve developing algorithms for 3D shape modeling, object pose estimation, and scalable vision solutions. Join a team that is at the forefront of integrating vision and robotics, and contribute to groundbreaking advancements in the field. If you have a passion for technology and a strong background in computer vision, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in computer vision and machine learning.
• Master’s or Ph.D. in a related field is required.

Responsibilities

• Develop 3D computer vision and machine learning algorithms.
• Implement object pose estimation and tracking algorithms.
• Explore the intersection of vision and robotics.

Skills

Computer Vision

Machine Learning

3D Shape Modeling

Object Pose Estimation

Programming (Python, C/C++)

Robotics

Education

Master’s in Computer Vision, Robotics, or Machine Learning

Ph.D. in Computer Vision, Robotics, or Machine Learning

Tools

CUDA

OpenCL

LiDAR

GPS

IMU

Job description

We are looking for the best

As a Computer Vision Engineer at 42dot, you will focus on researching and developing advanced autonomous driving technologies. Utilizing sophisticated computer vision and machine learning techniques, you will process various visual data acquired from autonomous vehicles and implement human-level autonomous driving perception capabilities.

Responsibilities

1. Conduct research and develop 3D computer vision and machine learning algorithms for integrating autonomous driving technology
2. Perform 3D shape modeling and processing tasks
3. Implement object pose estimation and tracking algorithms
4. Develop efficient and scalable vision solutions
5. Explore the intersection of vision and robotics
6. Work on low-level and physics-based vision algorithms

Qualifications

1. Master’s (MS) or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field
2. 5+ years of relevant experience or equivalent practical experience
3. Strong theoretical and practical knowledge of computer vision and machine learning algorithms
4. Proficiency in programming languages such as Python and C/C++

Preferred Qualifications

1. Proven experience in projects or commercial systems related to autonomous driving, robotics, or 3D vision
2. Hands-on experience with multi-sensor data processing and fusion (GPS, IMU, cameras, LiDAR)
3. Expertise in parallel programming (e.g., CUDA, OpenCL) and system optimization
4. Demonstrated experience in SLAM, depth estimation, 3D reconstruction, or pose estimation algorithm design
5. Experience in developing VR/AR applications
6. Strong academic background with publications in conferences/journals such as CVPR, ICCV, ECCV, TPAMI, or IJCV
7. Experience deploying and managing ML models in large-scale cloud environments

Interview Process

1. Application Review - Coding Test - 1st Interview - 2nd Interview - 3rd Interview - Offer
2. The process may vary by position and is subject to change
3. Schedule and results will be communicated via the email provided in your application