Senior Embedded AI Engineer (Automotive / ADAS)
Job Overview
We are seeking a highly skilled Embedded AI Engineer to design and optimize next-generation artificial intelligence perception systems for Automotive ADAS/AD applications. In this role, you will bridge the gap between cutting-edge deep learning models and resource-constrained embedded hardware. You will support the evaluation of AI Systems-on-Chip (SoCs), ensuring our perception algorithms run efficiently, reliably, and at peak performance on the edge.
Roles and Responsibilities
- Develop AI Perception Systems: Design, implement, and deploy artificial intelligence-focused perception pipelines for automotive systems.
- Optimize Edge Deployment: Deploy deep learning models on edge AI SoCs and optimize inferencing applications on accelerators like DSPs, NPUs, TPUs, or GPUs.
- Integrate Algorithms: Define clear software interfaces, implement efficient code, integrate algorithms, and lead testing activities.
- Prototyping & Benchmarking: Build functional prototypes for the proof-of-concept phase and benchmark algorithm performance.
- Hardware Selection: Evaluate hardware options and collaborate as part of the Subject Matter Expert (SME) team for automotive AI SoC selection.
- Cross-Functional Collaboration: Act as a technical bridge, communicating seamlessly with interdisciplinary algorithm experts and system developers.
Your Background
- B.Tech, Master’s, or Ph.D. in Computer Science, Automotive Engineering, Robotics, or a related field.
Experience & Core Skills
- Overall Experience: 6+ years of professional software engineering experience.
- Embedded Software: Minimum of 2 years of proven, hands-on experience in embedded software development.
- Programming Mastery: Strong programming skills in C and C++, including the expert application of compiler and debugging methods.
- Software Optimization: Deep understanding of code optimization approaches and memory dependencies.
- Analytical Mindset: Good analytical skills, a strong automotive mathematical background, and general knowledge of perception and machine learning algorithms.
Edge AI & Hardware Expertise (Must-Haves)
- Compiler & Hardware Knowledge: Good knowledge of AI/ML compilers, instruction sets, and memory architectures (FPGA, DSP, and AI processors).
- Model Compression: Practical experience with model compression techniques, including model pruning, quantization, fixed-point arithmetic, and mixed precision.
Bonus / Highly Preferable to Have
- Radar Perception: Good foundational knowledge of automotive radar systems, signal processing basics, or radar-based perception techniques.
- NVIDIA Ecosystem: Hands-on experience deploying and optimizing machine learning models on NVIDIA AI SoCs (e.g., Jetson Orin, Drive Thor) using TensorRT, ONNX Runtime (ONNXRT), TVM, or hardware-specific Neural Network Compilers.
- Domain Experience: Direct experience working within the Automotive industry on ADAS or Autonomous Driving (AD) technologies.
- ML Development: Strong background in developing deep learning models from a scientific or professional standpoint.
- Team Collaboration: Proven track record of successfully developing complex software as part of a collaborative team.
- Academic & Literature Contributions: Academic focus matching this profile, including authorship of relevant technical literature or research papers.
Why join us?
You grow at Aptiv.
Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.
You make an impact at Aptiv.
One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.
You have support at Aptiv.
We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.
Your Benefits at Aptiv:
- Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
- Life and accident insurance;
- Sodexo cards for food and beverages
- Well Being Program that includes regular workshops and networking events;
- EAP Employee Assistance;
- Access to fitness clubs (T&C apply);
- Creche facility for working parents;
Meet the Next-Generation Aptiv:
At Aptiv, we deliver innovative solutions that people trust when it matters most.
Progress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.
Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.
Join Us to Deliver Innovative Solutions That People Trust!
Apply today, and together let’s change tomorrow!
#LI-NB1
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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.
Skills Required
- Bachelor's, Master's, or Ph.D. in Computer Science, Automotive Engineering, Robotics, or related field
- 6+ years professional software engineering experience
- Minimum 2 years hands-on embedded software development experience
- Strong programming skills in C and C++ (expert use of compiler and debugging methods)
- Proficiency with Python
- Deep understanding of code optimization approaches and memory dependencies
- Knowledge of AI/ML compilers, instruction sets, and memory architectures for FPGA, DSP, and AI processors
- Practical experience with model compression techniques (pruning, quantization, fixed-point arithmetic, mixed precision)
- Experience deploying models on edge AI SoCs and optimizing inference on DSPs, NPUs, TPUs, or GPUs
- Analytical skills and knowledge of perception and machine learning algorithms
- Foundational knowledge of automotive radar systems or signal processing
- Experience with NVIDIA ecosystem (TensorRT, Jetson Orin, Drive Thor) and ONNX/TVM
- Direct ADAS/Autonomous Driving domain experience
- Proven track record of developing complex software as part of a collaborative team
- Academic contributions or publications related to ML/Perception
APTIV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.
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Retirement Support — A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
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Healthcare Strength — Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
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Leave & Time Off Breadth — Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.
APTIV Insights
What We Do
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