Solution Engineer

About Kognic
Founded in 2018 by Oscar Petersson and Daniel Langkilde, two engineering physicists working in the field of Deep Learning, Kognic is taking on one of the most challenging areas in mobility - the quest to make automated / autonomous driving systems more accurate and safer. Today, we help machines reliably make sense of a messy, chaotic, and unstructured world. Our data platform enables OEMs to get to market faster with less risk - and data engineers simply love working with our Machine Learning Operations tools.

Our future goes far beyond automated driving. Perception is a vital technology in understanding the world around us and our expertise in machine learning is poised to positively impact other markets, such as Robotics, Manufacturing and Heavy Industry just to name a few. We know it's not something we can solve overnight. We have to make extraordinary leaps in technology happen.

The team
The Solution Engineering team is a part of Customer Success, the client's best friend. We are here to make the experience of Kognic phenomenal by helping the clients get the most out of the Kognic Platform. As a Solution Engineer, you have a team of experts eager to work together to solve problems. If you like a culture of knowledge sharing, interesting problems, making a difference every day, and being in an industry of self-driving cars and machine learning, this is the place for you! We are recruiting for this role on an ongoing basis.

The role
Technical expert, field engineer, software engineer. There are many ways to describe this role but as what we call a Solution Engineer you will work closely with Customer Success, Engineering, Sales, and our Perception Experts throughout the whole lifetime of client projects. You will lead customers through pilots and early pre-sales discussions as well as work with existing customers by building stable and efficient integrations and data pipelines. The role is a combination of coding and talking to clients and internal teams, finding solutions to different sorts of problems, big and small.

Who you are
You have the right mindset and passion - that is what we value the most. Various backgrounds and experiences can make you a good fit for this role and our team. If you are unsure about how you would fit, don't hesitate to apply and we can figure it out together.

We value communication skills higher than coding skills, but it is mandatory to know Python. We believe you are an engaged person who easily understands problems and can take your own initiative to solve them. You are a customer-oriented person and since you will work closely with diverse teams we see that you like to collaborate in a fast-moving environment. You are self-going but like to work in a team of experts.

We believe that you are inspired by solving technical and commercial challenges for our current and coming clients.

Besides that, we see that you fit into several of these:

- University degree in engineering within a relevant field

- Experience in Python plus at least one more programming languag

- Enjoy customer interaction

- Familiarity with software development concepts (version control, code review, continuous integration)

- Fluent English speaker, written and spoken

- Mathematical background

It is a plus if you have experience of working with automotive sensors such as lidar, radar & cameras, or working with AI, machine learning and computer vision.

What is in it for you?
Other than working with extremely talented and humble people in a fun and creative environment we also have a lot of other great benefits:

- Strong values and purpose-driven company

- Workplace flexibility and work-life balance

- Exciting career opportunities in a dynamic and fast-scaling startup

- Parental pay, salary exchange, maximum health benefit, order your own workstation, place your own pension - to name a few

Application
We recommend that you submit your application as soon as possible since we will be reviewing the applications regularly & reaching out to you. We would like you to send in your resume and answer some short questions, a cover letter is voluntary.

If you have any questions regarding the position, please contact our Talent Acquisition Consultant, Anna Sellhed at [email protected].