Sr Software Engineer, C++ /Applied Computer Vision

At Invisible AI, we are building the future of computer vision. Today, our core focus is on developing an end-to-end platform that can digitize manufacturing operations. We deploy edge AI cameras to digitize all steps of manual assembly work which helps people-driven manufacturing be accurate, reliable, and safe.

Coming from the world of self-driving cars, the founders of Invisible AI have years of experience in building and deploying large-scale AI & Machine Learning pipelines. Join us and help build a company that will deliver the endless possibilities of computer vision to real-world customers!

As a senior software engineer on the Applied Team, you will be working with cutting-edge technologies to build and deploy real-time computer vision solutions on networks of embedded devices. In addition to pushing the boundaries of existing ARM + GPU devices, you will be working on everything from developing optimized C++ applications to best practices for robust production grade SW deployment in the wild. You will be working with a world-class team of engineers to deploy a new wave of AI products that work out-of-the-box across domains without weeks or months of data collection.

Recent Projects Include:

• Building an ergonomics bend detector
• Debugging packet loss and communication failures
• Designing and implementing a high performance, concurrent data loader
• Tracking objects reliably with observations from many different reference frames
• Building a human motion step detector to detect individual work steps with high accuracy on moving and fixed operations
• Iterating on the details to achieve 99%+ accuracy on critical customer metrics

Requirements:

• 3-5+ years of experience with C++ in a Linux/Unix environment
• Experience with: GCC, CMake, C++ 17, C++ OOP, gdb, ssh, git, python, protobuf, bash, and cli usage
• Knowledge of C++ internals expected, and enthusiasm for the language required
• Experience with debugging complex C++ issues, including memory leaks, race conditions, thread safety, deadlocks and more
• Familiarity with Machine Learning, SLAM, and tracking algorithms is a plus
• Understanding of engineering trade offs made when choosing to optimize for computational complexity, memory usage, ability to ship, and / or code maintainability
• Passion about AI and ready to ship fast and take risks in a dynamic startup environment
• Ability to work in a fast paced environment and hit the ground running

Our compensation package plays a big part in how we value your impact on our mission. Our base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The estimated base salary guideline range for this role is $160,000 to $190,000 and may be modified. This will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. In addition to base salary, your compensation package will include additional components such as equity, and benefits.

Invisible AI is an equal opportunity employer. We do not discriminate based on age, ethnicity, gender, nationality, religious belief, or sexual orientation.