Senior Computer Vision Engineer
BASF
full-time
Posted on:
Location Type: Office
Location: Austin • Texas • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
Python
About the role
- Executing intrinsic and extrinsic calibration procedures.
- Visualizing and manipulating 3D point clouds.
- Optimizing computer vision pipelines for edge devices, specifically targeting NPU, DSP, and GPU architectures.
- Assisting the team with 2D image processing tasks, including face recognition and object detection.
Requirements
- Hold a degree in Computer Science, Computer Vision, Applied Mathematics, Physics, or a related field.
- Have a minimum of 2 years of experience with stereo vision or structured light systems.
- Possess hands-on experience implementing image processing algorithms on DSP, NPU, or GPU.
- Demonstrate a solid understanding of general image processing techniques, including segmentation and object detection.
- Are familiar with machine learning principles as they apply to computer vision.
- Possess proficient in Python and C++.
Benefits
- Flexible work arrangements whenever possible
- Highly competitive retirement savings plan with company match and investment options
- Well-being programs that include comprehensive mental health support for you and your household family members
- Family forming benefits (fertility, adoption and surrogacy reimbursement, maternity/parental leave, and more)
- Back-up child and elder care with discount programs for families of all ages and stages
- Mentoring and career development opportunities that allow you to share, learn, and thrive
- Matching gifts program that allows you to deepen the impact of your contributions to qualified charities.
- Employee crisis support for when the unexpected happens
- Access to our BASF wine cellar, employee discounts, and much more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
image processing3D point cloudscomputer visionface recognitionobject detectionstereo visionstructured light systemsimage processing algorithmssegmentationmachine learning