Expert Embedded ML Engineer Software Engineering, Krakow, Lesser Poland, Poland

6 dni temu

Kraków, Lesser Poland Aptiv PLC Pełny etat

Aptiv is a leader in in-cabin sensing technology and a well-established supplier of sensing and computer hardware as well as software solutions. In this fast-growing and innovative technology area you would be working in an international team of computer vision and machine learning experts and software developers to shape the future of mobility with us.

At Aptiv we design, develop, and validate systems to enhance the safety and comfort in the vehicle cabin. This includes the development of innovative software features and machine learning algorithms in driver state sensing, seat occupancy monitoring, child presence detection, or hand gesture recognition using 2D and 3D cameras as well as other interior sensing technologies. Driver state sensing plays an important role not only to prevent road accidents caused by drowsiness or distraction of the driver, but also in the context of higher levels of automated driving, e.g. hand over scenarios.

Your Role

In your daily job you will:

  • Deploy C/C++ machine learning applications on PC and embedded devices
  • Write high quality, tested and efficient software in C++ for our AI/ML SW Stack
  • Perform neural network runtime optimization: quantization and pruning
  • Optimize scheduling of multiple neural network models across different device cores
  • Work in an Agile SW development team (SCRUM) closely with Machine Learning Engineers, System Engineers, and SW engineers
  • Mentor junior engineers

Your Background

  • Master's degree and several years of relevant experience or PhD degree in computer science, electrical engineering or related field
  • Strong software development skills in C++. You have a passion for clean, well-tested, and well-documented code, following an ASPICE development process.
  • Experience in integrating multiple SW modules into one system. Solid understanding of process scheduling, threading, pipelining, resource allocation.
  • Knowledge in compute HW architectures: CPU, GPU, DSP, NPU, SoC, AI accelerators
  • Fluent in English. Excellent written and verbal communication skills & interpersonal skills
  • Practical experience with Linux, version control systems (Git), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)

Nice to have:

  • Practical experience with automotive/robotics middleware, such as ROS, Adaptive AUTOSAR
  • Practical experience with one or more neural network inference engines: ONNX Runtime, TensorRT, TFLite
  • Strong understanding of artificial intelligence, model building and evaluation
  • Strong knowledge in at least one common ML framework (PyTorch, Tensorflow)

Why join us?

  • You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
  • You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
  • You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

  • Private health care (Signal Iduna) and Life insurance for you and your beloved ones
  • Well-Being Program that includes regular webinars, workshops, and networking events
  • Hybrid and flexible working hours
  • Employee Pension Plan paid by the employer (you get + 3.5% on each gross salary)
  • Access to sports groups and Multisport card

Apply today, and together let's change tomorrow

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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