Perception Software Engineer
NFA Forestry Automation AB · LUND, Sweden ·
- Category
- Software engineering
About the Role
NFA is looking for an experienced software engineer to join us in developing state-of-the-art perception and localization for forestry machines - running on our hardware platform in the field in real time. The role entails using both classical and deep learning methods for improving existing products but also paving the way for the next generation of products in semi-automation.
You will be working with the team owning the Perception Engine module and take joint responsibility for the operator experience - which is central to the development goals. The tasks within this scope are broad and include machine learning, computer vision algorithms, SLAM and maintaining the necessary infrastructure for development and testing of the algorithms.
Work
Working with the Perception Engine, you will be involved in
Solving bugs and issues related to the existing operator support product in the field
Adapt models and algorithms to new environments in new markets
Developing capabilities required for future products, requiring richer understanding of the tree characteristics and terrain.
Building and maintaining the necessary testing and data infrastructure
Releasing the functionality with quality to the field
Candidate
We see that you have some experience in software development and hold a Msc or PhD degree in a relevant field, e.g. Computer Science or Applied Mathematics. You have specifically worked with or studied development of algorithms for perception or localization using camera or lidar sensors.
It is beneficial to have experience with deploying Neural Network models or algorithms on embedded devices with runtime constraints. Being comfortable with working in a Linux environment is also a plus.
It is important that you:
Are open to learning new things
Have good communication skills
Enjoy diversity in your work - tuning models one day and bug hunting the next
Have a user focused mindset and appreciate feedback from the field
We offer
An opportunity to work with exciting tech - developing state-of-the-art for real time forestry perception
A team with high autonomy in everyday work and responsibility towards our operators
An opportunity to grow with us and influence how we work
A journey where we build the next generation of forestry management and operator work experience
About NFA
NFA is building the forestry technology of the future, and we are in an expansive phase where we are scaling up the launch of our first product while accelerating the development of next-generation products.
Our first product is a driver assistance system for thinning that helps machine operators worldwide achieve their thinning goals based on real-time measurements of the forest around the machine. Our technology makes precision forestry a reality, and we are leading the global technological development of advanced driver assistance and autonomous technology for forestry machines.
With us, you will get to work at the forefront of technology and contribute to the development of a more sustainable and data-driven forestry industry.
NFA is looking for an experienced software engineer to join us in developing state-of-the-art perception and localization for forestry machines - running on our hardware platform in the field in real time. The role entails using both classical and deep learning methods for improving existing products but also paving the way for the next generation of products in semi-automation.
You will be working with the team owning the Perception Engine module and take joint responsibility for the operator experience - which is central to the development goals. The tasks within this scope are broad and include machine learning, computer vision algorithms, SLAM and maintaining the necessary infrastructure for development and testing of the algorithms.
Work
Working with the Perception Engine, you will be involved in
Solving bugs and issues related to the existing operator support product in the field
Adapt models and algorithms to new environments in new markets
Developing capabilities required for future products, requiring richer understanding of the tree characteristics and terrain.
Building and maintaining the necessary testing and data infrastructure
Releasing the functionality with quality to the field
Candidate
We see that you have some experience in software development and hold a Msc or PhD degree in a relevant field, e.g. Computer Science or Applied Mathematics. You have specifically worked with or studied development of algorithms for perception or localization using camera or lidar sensors.
It is beneficial to have experience with deploying Neural Network models or algorithms on embedded devices with runtime constraints. Being comfortable with working in a Linux environment is also a plus.
It is important that you:
Are open to learning new things
Have good communication skills
Enjoy diversity in your work - tuning models one day and bug hunting the next
Have a user focused mindset and appreciate feedback from the field
We offer
An opportunity to work with exciting tech - developing state-of-the-art for real time forestry perception
A team with high autonomy in everyday work and responsibility towards our operators
An opportunity to grow with us and influence how we work
A journey where we build the next generation of forestry management and operator work experience
About NFA
NFA is building the forestry technology of the future, and we are in an expansive phase where we are scaling up the launch of our first product while accelerating the development of next-generation products.
Our first product is a driver assistance system for thinning that helps machine operators worldwide achieve their thinning goals based on real-time measurements of the forest around the machine. Our technology makes precision forestry a reality, and we are leading the global technological development of advanced driver assistance and autonomous technology for forestry machines.
With us, you will get to work at the forefront of technology and contribute to the development of a more sustainable and data-driven forestry industry.