Senior Computer Vision Engineer (Autonomous Driving)

42dot; Mountain View (WY); On-site; USD 100,000 - 160,000; Full time

Job summary

An innovative company is seeking a Senior Computer Vision Research Engineer to advance autonomous driving technologies. In this role, you will utilize cutting-edge computer vision and machine learning techniques to process visual data from autonomous vehicles, enhancing perception capabilities to human levels. Your work will involve developing scalable vision solutions and exploring the intersection of robotics and vision. This position offers a unique opportunity to contribute to transformative projects in the autonomous driving sector, making a significant impact on the future of transportation technology.

Qualifications

• 7+ years of experience in computer vision and machine learning.
• Strong knowledge of algorithms for autonomous driving technology.

Responsibilities

• Develop 3D computer vision algorithms for autonomous driving.
• Implement object pose estimation and tracking algorithms.

Skills

Computer Vision

Machine Learning

3D Shape Modeling

Programming in Python

Programming in C/C++

Parallel Programming

Education

Master’s in Computer Vision

Ph.D. in Robotics

Tools

CUDA

OpenCL

GPS

IMU

LiDAR

Job description

We are looking for the best

As a Senior Computer Vision Research 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. 7+ 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.