Python Robotics Algorithm Developer (27448)

Ecm Selection; Greater London; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

Une startup technologique de pointe recherche un Développeur d'Algorithmes pour Robotique Python, spécialisé dans les systèmes de drones autonomes. Vous serez responsable du développement d'algorithmes pour la coordination de drones multi-agents, intégrant des approches robustes et des validations préalables aux essais sur le terrain. Ce rôle offre une chance unique d'influencer le développement de cette technologie innovante. Le candidat idéal doit avoir un diplôme STEM solide et une expertise approfondie en Python.

Benefits

Salaire compétitif

Travail hybride (1-2 jours au bureau par semaine)

Qualifications

• Expérience approfondie en Python.
• Connaissances en algorithmes de contrôle et de décision.
• Capacité à travailler avec systèmes multi-agents.

Responsibilities

• Développer des algorithmes comportementaux pour systèmes de drones.
• Collaborer avec les équipes pour une approche globale.
• Valider les comportements dans des environnements dynamiques.

Skills

Python

AI Algorithms

Robotics Fundamentals

Multi-Agent Systems

Education

Strong STEM degree

PhD (relevant)

Tools

Gazebo

AirSim

Job description

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Python Robotics Algorithm Developer (27448)

Multi-agent autonomy, decision-making and control in a high-tech startup

In this pioneering startup you would work on autonomous behavioural algorithms for coordinated multi-agent drone technology. This will suit a highly motivated and technical candidate.

Your work may include behavioural AI algorithms (planning systems or behavioural/decision-based) in dynamic environments, with an emphasis on robustness and simulation to validate behaviour prior to field trials. Production readiness is the goal. Real world constraints and system capabilities are a key factor. You would collaborate with other teams to ensure a holistic approach.

You will have:

• A strong STEM degree and supporting pre-university grades.
• Worked extensively in Python, to a high level of proficiency, in related areas.
• An understanding of relevant robotics fundamentals and relevant algorithms for locomotion, decision-making and control.
• Prior experience with multi-agent systems / distributed coordination of autonomous agents.

Additionally a relevant PhD, knowledge of reinforcement learning or distributed (decentralised) control algorithms, optimisation for multiple objectives, or other distributed AI is relevant. As is exposure to relevant simulation tools (Gazebo, AirSim).

Applicants must be eligible for UK security clearance, and visa sponsorship is not available. Periodic travel to field test sites and for client or team meetings is likely.

As well as a competitive salary and hybrid working (1-2 days in the office per week), this role will allow the right person to truly exercise their skills in high impact areas. Be involved from an early stage and help shape the direction of this technology’s development.

Please note: even if you don’t have exactly the background indicated, do contact us now if this type of job is of interest – we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

ecm - 3 Stow Court, Quy, Cambridge CB25 9AS