Software Engineer, Computer Vision (Technical Leadership)
Software Engineer, Computer Vision (Technical Leadership)
Posted 3 days ago
SENIORITY
Manager
About the role
- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
- Invent, analyze, design, develop and optimize real time VR and AR computer vision algorithms in areas related to 3D reconstruction, SLAM, object detection and tracking, sensor fusion and camera calibration
- Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions
- Develop software for a variety of consumer devices, including novel sensing systems, tracking systems, imaging systems and haptic devices
- Effectively communicate complex features and systems in detail
- Develop clean readable code, debug complex problems that span systems, prioritize effectively and get things done with a high level of efficiency
- Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR and VR problem solving
- Understand industry & company-wide trends to help assess & develop new technologies
- Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
- Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
- Experience leading projects with industry-wide impact
- Vast experience communicating and working across functions to drive solutions
- Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
- Experience in driving large cross-functional/industry-wide engineering efforts
- Significant experience in mentoring/influencing engineers across organizations
- Significant experience in programming languages with a technical background
- Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience in shipping computer vision or image processing products to millions of customers or have started a new line of product
- Experience in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning
- Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
