Expert Embedded Radar ML Engineer

Aptiv is a global technology leader in the automotive industry with over 170,000 employees across 45 countries, 127 manufacturing facilities, and 14 technical centers worldwide. As a pioneer in autonomous driving technology, we're collaborating with strategic partners to bring complete autonomous driving platforms to market. At Aptiv, we transform ideas into groundbreaking solutions that are shaping the future of mobility. 

The Opportunity 

Join one of Aptiv's largest and fastest-growing AI Tech Centers in Krakow. This role offers you the chance to work in a dynamic technical environment where cutting-edge research translates into real-world products. You'll collaborate with an international team of technical experts to develop next-generation sensors, applications, and platforms that define the future of automotive technology. 

Position Overview 

We are seeking a passionate Embedded Radar AI/ML Engineer to help develop advanced perception systems critical for autonomous vehicles. In this role, you will implement state-of-the-art radar and AI/ML technologies on embedded platforms to create market-leading perception solutions that enable Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) features. 

Key Responsibilities 

• Design and develop AI-focused perception systems for automotive radar applications 

• Optimize and implement Aptiv's cutting-edge Radar ML algorithms on embedded platforms 

• Create efficient real-time integrations of complex algorithms for AI System-on-Chips (SoCs) 

• Define clean interfaces between algorithm components and embedded systems 

• Develop and apply tools and methodologies to enhance development workflows 

• Evaluate and recommend hardware platforms that meet our AI/ML requirements 

• Collaborate across disciplines with algorithm experts, system developers, and embedded specialists 

• Bridge the gap between theoretical ML approaches and practical embedded implementations 

Required Qualifications 

• Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or related technical field 

• Proven programming expertise in Python with at least 2 years of professional experience 

• Demonstrated experience developing deep learning solutions in scientific or professional contexts 

• Working knowledge of embedded software development principles and constraints 

• Strong analytical skills and solid mathematical foundation 

• Understanding of perception algorithms and machine learning fundamentals 

• Excellent communication skills and ability to work in cross-functional teams 

Preferred Qualifications 

• Proficiency in C/C++ programming, including debugging and optimization techniques 

• Experience with code optimization, low-level embedded architectures, and SoC implementations 

• Knowledge of instruction sets, memory architectures, FPGAs, DSPs, and AI accelerators 

• Experience with fixed-point implementation and quantization techniques 

• Hands-on experience with Texas Instruments hardware (TDA4) and Deep Learning Software Library (TIDL) 

• Track record of collaborative software development in team environments 

• Automotive industry experience, particularly with ADAS/AD systems 

• Familiarity with automotive software development standards and processes 

Join us in creating the technology that will power the future of mobility and make transportation safer, greener, and more connected. 

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