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Senior Edge AI & Robotics Engineer

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay €65K - 95K a year · our estimate

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Description

We develop advanced software, compute platforms, and intelligent systems that enable autonomous driving, advanced driver-assistance systems (ADAS), connected mobility, and intelligent infrastructure. The company 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, the company 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.

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.

Requirements

  • 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.
  • The company 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
  • Meet the Next-Generation the company
  • At the company, 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. The company 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-PT1

Benefits

  • You grow at the company.
  • The company'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 the company.
  • 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 the company, you are building those solutions every day.

Where you’d work

From the office

About the company

Company hidden

  • Industry: Mobility

Office in Germany

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 4 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Senior level: far fewer people qualifySlight evidence

Fits Me

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Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Docker
  • C++
  • Rust
  • Linux
  • CI/CD
Seniority
Senior
Type
Full-time
Industry
Mobility
Region
Europe
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • Docker
  • C++
  • Rust
  • Linux
  • CI/CD

Location

Work model
Office
Region
Europe
Office
  • Germany

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

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