Senior Edge AI & Robotics Engineer (f-m-d)

Posted 19 Days Ago
Be an Early Applicant
Wuppertal, Nordrhein-Westfalen, DEU
In-Office
Senior level
Automotive
The Role
Leads the deployment, optimization, validation, and scaling of AI/ML workloads on embedded and edge platforms. Develops high-performance C/C++ software and reusable pipelines for computer vision, sensor fusion, and real-time decision-making. Optimizes inference across heterogeneous compute architectures while managing latency, memory, power, reliability, and safety constraints. Establishes benchmarking, testing, CI/CD, and production-readiness workflows, collaborating with hardware, robotics, safety, systems, and quality teams.
Summary Generated by Built In

Senior Edge AI & Robotics Engineer

About Aptiv

Aptiv is a global technology leader with more than 200,000 employees across 48 countries. We develop advanced software, compute platforms, and intelligent systems that enable autonomous driving, advanced driver-assistance systems (ADAS), connected mobility, and intelligent infrastructure. Aptiv technology is embedded in millions of vehicles worldwide and powers some of the industry's most advanced automotive platforms.

As part of our expansion into Robotics and Adjacent Markets, Aptiv is developing scalable Edge AI and intelligent computing platforms for autonomous mobile robots (AMRs), drones, industrial automation, and next-generation intelligent machines. These platforms combine edge AI, heterogeneous compute, embedded software, safety-critical systems, and cloud-connected architectures to deliver real-world autonomy and decision-making at the edge.

As a Senior Edge AI & Robotics Engineer, you will serve as a hands-on technical leader focused on the deployment, optimization, and scaling of AI workloads on embedded and edge computing platforms. You will work at the intersection of AI, embedded systems, software architecture, and heterogeneous computing, enabling production-ready AI solutions that operate under real-world constraints for performance, latency, power, memory, reliability, and safety. Experience with robotics, autonomy is highly valued but not required.

Key Responsibilities

Edge AI Platform Development

  • Design, develop, and deploy AI/ML solutions on embedded and edge computing platforms.
  • Optimize inference performance across CPU, GPU, NPU, DSP, FPGA, and heterogeneous SoC architectures.
  • Build scalable Edge AI software pipelines supporting computer vision, sensor fusion, multimodal AI, and real-time decision-making applications.
  • Deploy and optimize models using frameworks such as TensorRT, ONNX Runtime, OpenVINO, TFLite, TVM, or equivalent technologies.
  • Drive model optimization through quantization, pruning, compression, distillation, and hardware acceleration techniques.
  • Develop reusable software frameworks and deployment workflows that can scale across multiple product lines and hardware platforms.

Embedded Systems & Software Engineering

  • Develop high-performance software in C/C++ for embedded and edge AI applications.
  • Optimize performance, memory utilization, power consumption, startup time, and system throughput.
  • Design software architectures that enable portability across different hardware platforms and operating environments.
  • Work with Linux-based embedded systems, RTOS environments, containerization technologies, and cross-compilation toolchains.
  • Collaborate closely with hardware teams to influence compute architecture, accelerator selection, sensor integration, and platform trade-offs.

Edge AI Validation & Production Readiness

  • Define benchmarking, profiling, and validation strategies for AI applications deployed at the edge.
  • Establish performance, reliability, robustness, and scalability metrics.
  • Support the transition from research prototypes to production-grade software solutions.
  • Develop automated testing, integration, and deployment workflows and CI/CD pipelines.
  • Collaborate with safety, systems, and quality teams to support safety-critical and mission-critical deployments.

Robotics & Intelligent Systems (Preferred)

  • Contribute to Edge AI solutions deployed in robotics, autonomous systems, industrial automation, and intelligent machines.
  • Support integration with robotics middleware and autonomy stacks where applicable.
  • Collaborate with robotics teams on perception, localization, planning, and control powered by Edge AI.

Basic Qualifications

  • Master's degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Computer Engineering, or a related discipline.
  • 5+ years of experience developing and deploying AI/ML workloads on embedded or edge computing platforms.
  • Experience with NVIDIA Jetson, Qualcomm, TI, NXP, Renesas, AMD, Intel, or similar embedded AI platforms.
  • Expert level proficiency in C/C++ and Python.
  • Hands-on experience with AI model deployment and optimization on resource-constrained systems.
  • Deep understanding of AI inference frameworks, model optimization techniques, and heterogeneous compute architectures.
  • Experience with Linux-based embedded systems and cross-compilation workflows.
  • Strong understanding of system-level performance optimization, profiling, and debugging.
  • Ability to communicate complex technical concepts effectively across multidisciplinary teams.

Preferred Qualifications

  • Experience with ROS 2, DDS, robotics middleware, or autonomous systems development.
  • Experience deploying computer vision, multimodal AI, perception, or sensor-fusion applications.
  • Background in robotics, drones, AGVs/AMRs, industrial automation, or intelligent machines.
  • Experience with Docker containers, CI/CD pipelines, DevOps automation, and/or MLOps practices for deploying and managing machine learning solutions in production environments.
  • Experience with simulation environments such as Isaac Sim, Gazebo, CARLA, or digital twin platforms.
  • Knowledge of functional safety standards and safety-critical development processes, including ISO 26262, IEC 61508, or related standards.
  • Experience with Rust or other modern systems programming languages.

Traits We Value

  • Deep curiosity for AI systems, computing platforms, and emerging technologies.
  • Strong systems-thinking mindset with the ability to optimize across hardware and software boundaries.
  • Pragmatic approach to delivering production-ready solutions.
  • Ownership mentality and bias toward execution.
  • Ability to thrive in fast-moving, highly technical environments.
  • Collaborative leadership with a passion for mentoring and knowledge sharing.
  • Desire to build technologies that move AI from the cloud into real-world intelligent devices.

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

Aptiv Benefits:

  • Our working style: flexible work environment Learning, professional growth and development in a world-recognized international environment.

  • Access to internal & external training, coaching & certifications.

  • Recognition for innovation and excellence.

  • Opportunities to give back to the community

Apply today, and together let’s change tomorrow! 

#LI-PT1

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.

Skills Required

  • Master’s degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Computer Engineering, or a related discipline
  • 5+ years of experience developing and deploying AI/ML workloads on embedded or edge computing platforms
  • Experience with NVIDIA Jetson, Qualcomm, TI, NXP, Renesas, AMD, Intel, or similar embedded AI platforms
  • Expert-level proficiency in C/C++ and Python
  • Hands-on experience deploying and optimizing AI models on resource-constrained systems
  • Deep understanding of AI inference frameworks, model optimization techniques, and heterogeneous compute architectures
  • Experience with Linux-based embedded systems and cross-compilation workflows
  • Strong understanding of system-level performance optimization, profiling, and debugging
  • Ability to communicate complex technical concepts effectively across multidisciplinary teams
  • Experience with ROS 2, DDS, robotics middleware, or autonomous systems development
  • Experience deploying computer vision, multimodal AI, perception, or sensor-fusion applications
  • Background in robotics, drones, AGVs/AMRs, industrial automation, or intelligent machines
  • Experience with Docker containers, CI/CD pipelines, DevOps automation, or MLOps practices
  • Experience with Isaac Sim, Gazebo, CARLA, or digital twin platforms
  • Knowledge of functional safety standards and safety-critical development processes, including ISO 26262 or IEC 61508
  • Experience with Rust or other modern systems programming languages

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.

  • 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.
  • 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.
  • 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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Schaffhausen
17,787 Employees

What We Do

Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove

Similar Jobs

Taboola Logo Taboola

Agency Development Director, DACH

AdTech • Big Data • Digital Media • Marketing Tech
Hybrid
3 Locations
1900 Employees

Mondelēz International Logo Mondelēz International

Senior Director, Global Supply Chain Excellence Program & Focused Improvement Lead

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
29 Locations
90000 Employees
174K-287K Annually

SailPoint Logo SailPoint

Regional Partner Manager

Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Remote or Hybrid
2 Locations
2461 Employees

Schrödinger, Inc. Logo Schrödinger, Inc.

Global Portfolio Leader, Electronics

Healthtech • Machine Learning • Software • Biotech • Pharmaceutical
Remote or Hybrid
5 Locations
885 Employees

Similar Companies Hiring

Chamberlain Group Thumbnail
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
Oak Brook, IL
5769 Employees
UL Solutions Thumbnail
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Chicago, IL
15000 Employees
HERE Technologies Thumbnail
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Amsterdam, NL
6000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account