About the role
Engineering Manager - Edge AI & Robotics
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, intelligent infrastructure, and next-generation intelligent machines. These platforms combine edge AI, heterogeneous computing, embedded software, safety-critical systems, and cloud-connected architectures to enable real-world autonomy and intelligence at the edge.
As Engineering Manager - Edge AI & Robotics, you will lead a team of highly skilled engineers developing next-generation Edge AI platforms for robotics and intelligent systems. This is a highly technical, hands-on leadership role that combines people leadership, systems and software engineering, technology strategy, architecture development, and direct engineering contribution. The ideal candidate brings deep expertise in AI, embedded computing, robotics, software engineering, and systems engineering, with a proven track record of driving product development from requirements through deployment, building high-performing teams, and delivering scalable, reliable, and production-ready solutions.
Key Responsibilities
Team & Technical Leadership
Build, lead, and grow a world-class team of Edge AI, robotics, and embedded software engineers.
Mentor engineers and technical leads through coaching, career planning, and technical development.
Foster a culture of technical excellence, ownership, innovation, accountability, and continuous learning.
Manage project prioritization, resource allocation, technical risk mitigation, and delivery planning.
Define and execute the technical roadmap for Edge AI and Robotics platforms aligned with Aptiv's broader Robotics and Adjacent Markets strategy.
Drive architecture decisions spanning Edge AI, embedded computing, robotics software, autonomy systems, cloud infrastructure, and intelligent machine platforms.
Establish engineering best practices for scalable, reusable, maintainable, and production-ready software.
Evaluate emerging AI technologies, compute architectures, accelerators, software frameworks, and development tools.
Drive systems engineering, requirements management, and product development processes across the full lifecycle from concept through release.
Establish scalable engineering practices spanning systems engineering, software development, testing, configuration management, and release governance.
Lead requirements definition, decomposition, traceability, verification, and validation using tools such as Polarion ALM, DOORS, or equivalent.
Hands-On Technical Leadership
Serve as a hands-on technical leader who actively contributes to architecture reviews, software design, technology evaluations, and critical engineering challenges.
Maintain deep involvement in software development, AI model deployment, system optimization, and platform architecture decisions.
Partner directly with engineers to solve challenging problems in AI inference, embedded systems, robotics software, and heterogeneous computing.
Participate in code reviews, design reviews, technical deep dives, benchmarking activities, and root-cause investigations.
Contribute to technical decisions involving AI frameworks, compute architectures, software platforms, sensor integration, and deployment strategies.
Stay current with advancements in Edge AI, robotics, autonomous systems, embedded compute, and intelligent machines.
Balance management responsibilities with meaningful technical contribution, maintaining credibility as both a leader and engineer.
Edge AI Platform Development
Lead development of scalable Edge AI platforms supporting perception, computer vision, multimodal AI, sensor fusion, and intelligent decision-making.
Guide deployment and optimization of AI workloads across CPU, GPU, NPU, DSP, FPGA, and heterogeneous SoC architectures.
Drive model optimization initiatives including quantization, pruning, distillation, compression, compilation, and hardware acceleration.
Oversee deployment across NVIDIA, AMD, Qualcomm, Intel, NXP, TI, Renesas, Ambarella and similar embedded AI platforms.
Ensure solutions meet demanding requirements for latency, throughput, power efficiency, memory utilization, reliability, and scalability.
Develop reusable software frameworks and reference architectures that can scale across multiple products and platforms.
Embedded Systems & Software Engineering
Lead development of high-performance software in C/C++, Python, and modern systems programming environments.
Drive software architecture decisions that maximize portability across hardware platforms and operating environments.
Guide teams working with Linux-based embedded systems, RTOS environments, containerized applications, and cross-compilation toolchains.
Collaborate closely with hardware and silicon teams to influence compute architecture, accelerator selection, sensor integration, and platform trade-offs.
Champion software engineering best practices including code quality, testing, observability, maintainability, and documentation.
Drive software engineering best practices including requirements management, CI/CD, automated testing, code reviews, static analysis, and quality metrics.
Robotics (Preferred)
Lead engineering efforts supporting robotics, autonomous systems, industrial automation, AMRs, drones, and intelligent machines.
Collaborate with robotics teams developing perception, localization, mapping, planning, and control capabilities.
Support integration of Edge AI solutions with ROS 2, DDS, robotics middleware, and autonomy stacks.
Promote simulation-based development and validation using Isaac Sim, Gazebo, CARLA, digital twin platforms, or similar technologies.
Basic Qualifications
Master's degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Computer Engineering, or a related discipline.
10+ years of experience developing software and AI solutions for embedded systems, robotics, autonomous systems, or edge computing platforms.
3+ years of engineering management, technical leadership, or team leadership experience.
Proven success building and leading high-performing engineering teams.
Demonstrated ability to lead engineering organizations while remaining technically hands-on.
Expert-level proficiency in C/C++ and Python.
Deep experience deploying and optimizing AI/ML workloads on embedded and edge computing platforms.
Strong understanding of heterogeneous computing architectures including CPU, GPU, NPU, DSP, FPGA, and accelerator-based systems.
Experience with AI deployment frameworks such as TensorRT, ONNX Runtime, OpenVINO, TFLite, TVM, or equivalent technologies.
Experience working with Linux-based embedded systems and cross-compilation workflows.
Strong understanding of system-level performance optimization, profiling, debugging, and reliability engineering.
Experience with systems engineering, requirements management, traceability, and verification/validation of complex embedded or intelligent systems.
Experience leading cross-functional projects involving hardware, software, systems engineering, and AI disciplines.
Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
Strong understanding of MLOps, CI/CD, DevOps, and software lifecycle management.
Experience deploying perception, sensor fusion, computer vision, multimodal AI, localization, SLAM, planning, or control systems.
Experience leading teams developing robotics, AMRs, AGVs, drones, industrial automation systems, or intelligent machines.
Experience with ROS 2, DDS, robotics middleware, and autonomous systems development.
Experience with simulation environments including Isaac Sim, Gazebo, CARLA, or digital twin platforms.
Experience influencing semiconductor, accelerator, or embedded platform roadmaps.
Experience working with globally distributed engineering teams.
Experience with Polarion, Automotive SPICE (ASPICE), or similar engineering methodologies.
Experience leading cross-functional systems, software, and product engineering activities in safety-critical or highly regulated environments.
Knowledge of safety-critical development processes, V-model and standards including ISO 26262, IEC 61508, or related standards.
Publications, patents, open-source contributions, or recognized technical leadership in AI, robotics, or embedded computing.
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.
Apply today, and together let's change tomorrow!
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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.