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About ESR Labs

We are an embedded automotive software company. In other words, we develop innovative embedded software for high-tech cars. Within only six years, we have achieved the status of a Tier 1 software supplier providing us with the opportunity to work directly with some of the most respected and distinguished premium car manufacturers and suppliers in the market. Our work is already part of millions of vehicles and enables those vehicles to take advantages of what has become stat of the art in consumer electronics: internet connectivity, artificial intelligence, autonomy, cloud computing, and over-the-air feature updates.

 

Job description

As Machine Learning Developer you are responsible for the modeling of several aspects for autonomous driving for autonomous driving, especially in Computer Vision. Furthermore, you implement, optimize and port on embedded platforms and develop new network topologies.

 

Contact

Your application will be processed by the Job Ambition GmbH, our strategic recruiting partner. If you have questions, feel free to contact Mrs. Stefanie Schwamberger by phone: + 49 (0) 711 400 538 81.

 

Qualifications

Required qualifications:

  • Good know-how in Machine Learning with focus at Deep Learning
  • Thorough knowledge of Computer Vision
  • Development experience with C/C++ and Python
  • Know-how in any of the following frameworks: Caffe, TensorFlow, Torch
  • Good English language skills
  • Advanced knowledge of Linux

 

Desired qualifications:

  • Experience in GPU programming with CUDA, OpenCL or other GPU computer languages
  • Knowledge of embedded hardware, vehicle and robotic
  • Experience with NVIDIA DRIVE API and DRIVE PX2 SDK
  • Thorough knowledge of Sensor Fusion
  • Know-how in at least of one RTOS
  • Experience with any of the following APIs: OpenVX, OpenCV, Vulkan or OpenGL (ES)
  • German language skills would be an advantage
  • Knowledge with SoC optimization

 

What we offer 

  • Great work environment with co-workers you can rely on and who demonstrate strong performance
  • Opportunity to make an impact by delivering fantastic work in essential projects
  • A chance to create useful technology by minimizing complexity
  • Employee freedom through flexible work-hour models, little hierarchy, and a collaborative work environment
  • Experimentation and learning through our regular hackathons, programming challenges and hands-on workshops
  • Choose your hardware/ software set up
  • A daily supply of fresh fruit, coffee and water