Who we are:

Our team comes from all disciplines of engineering and some of the top names in technology and manufacturing including Tesla and Salesforce. We are all united by the goal of delivering real, tangible value to the world not with far-out R&D projects, but with actual products that are already shipping to customers around the US. We love the latest technology entering the computer vision world and are driven by the excitement of solving real-world problems on actual data and creating great user experiences in a traditionally clunky industry. We are backed by top-tier investors including Y Combinator and Bain Capital Ventures.

What we do:

We are a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We use the data generated by our platform to create state of the art deep learning models and to provide insights that were previously unknown. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. We also stream gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.

We are looking for engineers who like to solve tough challenges across the stack. This might include wrangling 500mb images or deploying optimized models in one click that can handle 10 parts a second. We are looking for people who are dynamic, who are excited to work on a different challenge every week, whether it’s the final inspection on a medical device or making sure a razor blade has a perfect edge.

The role:

We give customers realtime views into their factory health, quality trends and shift performance. We also integrate with their automation systems to execute real improvements on the factory floor. This includes telling systems to actuate compressed air to blow bad parts off the line or notifying a quality manager of catastrophic failure. We are looking for someone who can help build easy to use features to constantly delight our customers: this includes analytics and productizing deep learning so it can be self-service.

What you can expect:

• Joining an agile and process light team

• Scaling up IoT fleet

• Applying state-of-the-art deep learning algorithms on production data

• Being part of an engineering-first organization

• Creating code that will be immediately used by real customers, solving real problems

• Influencing and defining software process and release

• Joining a culture of inclusion, collaboration and engineering excellence

• Working with colleagues who are thoughtful, motivated, smart and hard working

What you will do:

• Build high-performing customer facing product features

• Ensuring features are reliable and tested in extreme scenarios such as single images up to a gigabyte in size, hundreds of data-points coming in per second

• Working with different firmwares and drivers to support our vision and lighting software

• Integrating with PLC’s and factory automation systems

  
  

What makes you a good fit:

• Proficiency in React.js is a must

• Weekly availability in the 6 to 8 PM EET time frame

• Previous experience with image and video data

• Having worked in a similar web stack to ours (React.js, Django, GCP and AWS, GraphQL)

• Having built extremely reliable code

• Experience with different drivers of varying levels of documentation/support

• Having deeply integrated in 3rd party systems, using webhooks, external APIs

• Have worked with hardware-level code (video processing, network configurations, virtualization) 

  
  

Mandatory:

To be eligible to apply for this position through Startuplifers you must be currently studying towards a degree or have graduated from a Finnish or a Swedish university or university of applied sciences. 

Send your application by October 11th, 2021.

Startuplifers is a non-profit organization connecting the top Nordic talent with some of the best startups on the globe. We provide you a supportive community, making your transition to remote work seamless and fun. Together, we will secure the job of your dreams.