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Senior AI/ML Engineer - Robotics & Drones

Krakow, Poland

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What you’ll work on

Full posting
  • You will work closely with planning, safety, hardware, and product teams to turn research-grade perception into production-ready, certifiable systems.

  • Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and multiple tasks (object detection, segmentation, environment modelling).

  • Develop multi-sensor fusion algorithms to provide accurate, robust perception in various challenging environments.

From the employer’s posting
Your Role As a Senior AI/ML Engineer you will develop and evolve the advanced perceptions systems critical for autonomous robotic agents. This will involve handling of different sensors, sensor modalities, perception algorithms, and deployment on compute platforms, enabling robust autonomy across diverse environments and robot form factors. You will work closely with planning, safety, hardware, and product teams to turn research-grade perception into production-ready, certifiable systems. In your daily job you will: Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and multiple tasks (object detection, segmentation, environment modelling).
As a Senior AI/ML Engineer you will develop and evolve the advanced perceptions systems critical for autonomous robotic agents. This will involve handling of different sensors, sensor modalities, perception algorithms, and deployment on compute platforms, enabling robust autonomy across diverse environments and robot form factors. You will work closely with planning, safety, hardware, and product teams to turn research-grade perception into production-ready, certifiable systems. In your daily job you will: Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and multiple tasks (object detection, segmentation, environment modelling). Develop multi-sensor fusion algorithms to provide accurate, robust perception in various challenging environments.
Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and multiple tasks (object detection, segmentation, environment modelling). Develop multi-sensor fusion algorithms to provide accurate, robust perception in various challenging environments. Establish best practices for perception robustness and AI/ML perception systems that support safety requirements and predictable failure behavior.
Education & alternatives
Your Background - PhD or Master’s degree in Robotics, Computer Science, Electrical/Computer Engineering, any other related technical field, or equivalent practical experience. - Proven experience in building scalable AI/ML development pipelines.

Tools in this posting

  • Python
  • Databricks
  • MLflow
  • SageMaker
  • NumPy
  • pandas
  • PyTorch
  • scikit-learn
Source — Tool mentions in context
- Proven experience in building scalable AI/ML development pipelines. - Strong proficiency in Python and hands-on experience with ML/DL and perception libraries such as PyTorch, PyTorch Lightning, scikit-learn, OpenCV, NumPy, Pandas, or similar. - Strong theoretical and practical understanding of sensors and their modalities (camera, radar, LiDAR), sensor fusion, and environment models.
- Experience with continuous improvement and optimization of AI/ML perception models. - Proficiency with ML platforms and experiment management tools (e.g., MLflow, SageMaker, Databricks, DVC). - Experience with embedded and heterogeneous computing platforms (NVIDIA, Qualcomm, TI, Renesas).

Job description

View original posting ↗

If you are looking for an opportunity to build new robotics solutions based on proven automotive sensors, Aptiv is the perfect place for you. Our Robotics business, focused on Autonomous Mobile Robots (AMRs) and Drones for warehouse, industrial, and adjacent markets is growing and you will be shaping how robots understand their environment, other actors and how reliably the perception can be trusted under real-world conditions.

 

Your Role

As a Senior AI/ML Engineer you will develop and evolve the advanced perceptions systems critical for autonomous robotic agents. This will involve handling of different sensors, sensor modalities, perception algorithms, and deployment on compute platforms, enabling robust autonomy across diverse environments and robot form factors. You will work closely with planning, safety, hardware, and product teams to turn research-grade perception into production-ready, certifiable systems. In your daily job you will:

  • Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and multiple tasks (object detection, segmentation, environment modelling).

  • Develop multi-sensor fusion algorithms to provide accurate, robust perception in various challenging environments.

  • Establish best practices for perception robustness and AI/ML perception systems that support safety requirements and predictable failure behavior.

  • Shape perception validation strategies, regression testing, and performance benchmarking based on simulation data and real word data.

  • Translate customer and operational requirements into perception performance targets, AI/ML algorithm decisions, and data requirements.

  • Evaluate and integrate open-source perception frameworks and third-party SDKs, ensuring scalability, maintainability, and license compliance.

  • Support PoCs, demos, and early deployments by guiding perception setup, tuning, and debugging in real environments.

 

Your Background

  • PhD or Master’s degree in Robotics, Computer Science, Electrical/Computer Engineering, any other related technical field, or equivalent practical experience.

  • Proven experience in building scalable AI/ML development pipelines.

  • Strong proficiency in Python and hands-on experience with ML/DL and perception libraries such as PyTorch, PyTorch Lightning, scikit-learn, OpenCV, NumPy, Pandas, or similar.

  • Strong theoretical and practical understanding of sensors and their modalities (camera, radar, LiDAR), sensor fusion, and environment models.

  • Excellent communication skills and ability to explain complex localization perception to cross-functional audiences.

Nice to have

  • Experience with perception systems in industrial environments (warehousing, logistics, manufacturing).

  • Knowledge of functional safety standards for mobile robotics.

  • Experience with continuous improvement and optimization of AI/ML perception models.

  • Proficiency with ML platforms and experiment management tools (e.g., MLflow, SageMaker, Databricks, DVC).

  • Experience with embedded and heterogeneous computing platforms (NVIDIA, Qualcomm, TI, Renesas).

  • Hands-on experience with ROS / ROS 2.

  • Experience in fast-paced, high-ambiguity environments.

  • Strong background in AI/ML debugging, dataset management, and model training.

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 work (min. 47 days/yr of remote work, 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!

#LI-PP1

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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Location & working pattern

Krakow, Poland

- Well-Being Program that includes regular webinars, workshops, and networking events - Hybrid work (min. 47 days/yr of remote work, flexible working hours) - Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary.
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Status in our records
Active
First seen by us
Aug 11, 2026
Recorded sightings
1
Last seen by us
Oct 1, 2026
Employer says posted
Aug 3, 2026

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