Robotics Platform Lead – AI & Autonomous Systems

DeepRec.ai; München; Vor Ort; EUR 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Ownership of robotics platform

Cross-disciplinary teams

Technical leadership role

Zusammenfassung

DeepRec.ai in Munich is seeking a senior technical leader to oversee the software, autonomy, machine learning and compute platform behind our robotics systems. You will influence how components interact and guide the platform as deployment scales beyond a small fleet.

You should bring a deep technical background, track record in robotics or autonomous decision-making on physical systems, and the ability to lead multi-disciplinary teams while staying close to engineering work.

Qualifikationen

• Strong software engineering fundamentals
• Experience with robotics or autonomous systems
• Experience deploying software onto edge/embedded hardware
• Production engineering and reliability practices
• Technical leadership across multidisciplinary teams

Aufgaben

• Define how software, autonomy and ML components interact
• Shape platform evolution for larger-scale deployment
• Lead architectural and technical decisions across teams
• Ensure reliability, safety and repeatability of deployments
• Bridge high-level strategy with detailed engineering discussions
• Drive testing of complex robotic behaviours across a growing fleet

Kenntnisse

Software engineering

Robotics engineering

Autonomous systems

Edge deployment

Production reliability

Technical leadership

Jobbeschreibung

We are supporting the growth of a European robotics business building intelligent machines for real-world environments.

As their engineering organisation grows, they are looking for a senior technical leader who can take a broad view of the technology behind their robotic systems — connecting software, autonomy, machine learning and the underlying compute platform.

This could suit someone currently operating as a Principal Engineer, Staff Engineer, Systems Architect, Technical Lead or Engineering Lead who wants greater ownership of an entire robotics platform.

The challenge here isn't simply developing new robotics capabilities. It's making increasingly sophisticated technology work consistently outside of a controlled development environment.

You'll help determine how the platform evolves as the business moves towards larger-scale deployment.

That could mean working on questions such as:

• How should the different software and autonomy components interact?
• Where are the biggest reliability or performance bottlenecks?
• How do you make deployment and updates safer and more repeatable?
• How should engineering teams test increasingly complex robotic behaviours?
• What needs to change as a system moves from a small number of machines to a significantly larger deployed fleet?
• How do you create engineering foundations that allow AI and robotics teams to iterate quickly without compromising system stability?

You'll have significant influence over these decisions while remaining close to the engineering itself.

You may have built systems within:

More important than the exact industry is experience building software where AI or autonomous decision-making ultimately has to work on a physical system in the real world.

We're particularly interested in people who combine:

• Strong software engineering fundamentals
• Robotics or autonomous systems knowledge
• Experience deploying software onto edge/embedded hardware
• Production engineering and reliability
• Technical leadership across multidisciplinary teams

You should be comfortable moving between high-level technical decisions and detailed engineering discussions.

This isn't intended to be a purely managerial position. You'll be expected to understand the technology deeply, challenge technical decisions and contribute directly where your expertise has the greatest impact.

What Makes This Interesting?

You'll join at a point where many of the fundamental technical decisions around the platform are still being shaped.

Rather than owning one isolated component, you'll work across the wider system and help establish how the company's robotics technology is engineered, deployed and scaled over the coming years.

It's particularly relevant for someone who enjoys the intersection of robotics, software architecture and AI, and wants ownership beyond an individual subsystem.