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Location: Bengaluru
Company: Aptiv
Are you ready to be at the forefront of innovation in the mobility revolution? Aptiv, a global technology leader, is on the lookout for an enthusiastic and accomplished Artificial Intelligence/Machine Learning Engineer to join our dynamic Artificial Intelligence, Machine Learning team. This is your chance to be part of something extraordinary. Join Aptiv and play a pivotal role in shaping the automotive industry’s future. Be inspired, be challenged, and be a driving force behind the innovations that will redefine mobility.
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In that role, you will work on key enabling technologies for ADAS and AD features.
Your Role
- Development of artificial intelligence (AI) focused perception systems
- Bringing Aptivs latest Radar ML technology to embedded devices by defining proper interfaces, efficient implementation and real-time integration of algorithms for AI SoCs
- Develop and apply tools and methods enabling related activities
- Support hardware selection processes and become company expert for AI SoCs
- Interdisciplinary communication with algorithm experts, system developers and embedded experts from Aptiv and external suppliers
Your Background
- Master or Ph.D. in science, technology, physics, engineering and mathematics or a related field
- Expert with proven background in embedded software development
- Must have strong programming skills in C, C++ including applying compiler and debugging methods
- Strong programming skills with python
- Experience with code optimization approaches, well understanding of memory dependencies
- Familiar with fixed point implementation and quantization
- Familiar with instruction sets and memory architectures, FPGA, DSP and AI processors
- Good analytical skills and a good mathematical background
- General knowledge about perception and machine learning algorithms
Nice To Have
- Experience with Texas Instruments Hardware (TDA4) and Deep Learning Software Library (TIDL)
- Experience in development of deep learning from scientific or professional background
- Experience developing software as part of a team
- Experience in automotive and with ADAS / AD
- Academic background on above experience, authorship on relevant literature
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