Computer Vision Engineer - Tracker

Harmattan Ai

Zürich, Switzerland

On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have experience in embedded computer vision and sensor fusion.

Best fit for

Candidates with embedded systems experience and a track record in real-time computer vision algorithms
— “Proven track record in the research, development, and productization of Computer Vision & Sensor-Fusion algorithms in hardware-constrained environments.”
Individuals who have worked on multi-sensor fusion and 3D object tracking in complex scenarios
— “Research and implement state-of-the-art Computer Vision approaches to Object Tracking in multiple modalities and scenarios.”

Things to consider

The role requires a strong commitment to the company’s mission and operational goals
— “Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans”
The position is based in Zurich, Lausanne, or Paris, which may affect relocation or travel plans
— “Operating out of Lausanne, Paris, or Zurich”

How to stand out

Highlight your experience with real-time systems and edge deployment in your resume and portfolio
— “Optimize and embed tracking algorithms on heterogeneous platforms with limited compute resources”
Demonstrate your ability to translate complex algorithmic trade-offs into practical solutions for stakeholders
— “Excellent communication and influence skills, with the ability to effectively translate and present complex algorithmic trade-offs to downstream users and senior stakeholders.”
Showcase projects where you integrated computer vision and sensor fusion in production environments
— “Work closely with the GNC, Sensor Fusion, and AI teams to integrate your tracking pipelines into a seamless, production-ready environment.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

state-of-the-art computer vision approaches
high-precision target estimation

Typical background

STEM degreeembedded algorithmic expertise

Skills & requirements

Required

Computer VisionSensor FusionEmbedded SystemsReal-time SystemsAlgorithm Development

Preferred

MentorshipCross-team Collaboration

Stack & domain

Computer VisionObject TrackingSensor FusionAI Detection ModelsC++PythonReal-time SystemsEdge DeploymentOptimizationEmbedded AlgorithmsMulti-sensor FusionGlobal 3D Object TrackingGNCDroneScientific TrendsTracking AlgorithmsResearchInnovationCollaborationMentorshipTeamworkPressureFast-paced EnvironmentFoundational Team InfrastructureMissionVisionAmbitious Growth PlansOperational ExcellenceDefenseAutonomous SystemsDrone TechnologyAI

About the role

Original posting from Harmattan Ai via Ashby

ABOUT US
Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.
Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.
ABOUT THE ROLE
As a Computer Vision Engineer in the Computer Vision Tracker team, you will join us at a very early stage, giving you a unique opportunity to heavily influence the technical direction of the team. Operating out of Lausanne, Paris, or Zurich, you will focus on creating a global 3D Object Tracking pipeline, at the intersection between the Computer Vision, Sensor Fusion and GNC teams.
RESPONSIBILITIES
Computer Vision Algorithm Development: Research and implement state-of-the-art Computer Vision approaches to Object Tracking in multiple modalities and scenarios, combining classical and geometrical methods with AI detection models developed in-house.
Multi-Sensor Fusion: Fuse data from multiple sensors (Cameras, IMU, Radar, etc.) to provide high-precision target estimation and robust tracking through challenging conditions.
Edge Optimization for Low-Compute Deployment: Optimize and embed tracking algorithms on heterogeneous platforms with limited compute resources, ensuring real-time performance alongside other software bricks running on the drone.
Cross-Team Collaboration: Work closely with the GNC, Sensor Fusion, and AI teams to integrate your tracking pipelines into a seamless, production-ready environment.
Research & Innovation: Stay at the absolute forefront of scientific trends in computer vision, tracking algorithms, and sensor fusion to introduce cutting-edge methodologies to the product.
Mentorship: Depending on seniority, support the team by managing or mentoring junior engineers.
CANDIDATE REQUIREMENTS
Educational Background: A strong academic record with a degree in a STEM field (e.g., Computer Science, Robotics, Engineering, Mathematics).
Embedded Algorithmic Expertise: Proven track record in the research, development, and productization of Computer Vision & Sensor-Fusion algorithms in hardware-constrained environments.
Technical Competence: Strong proficiency in C++ and Python for real-time systems. Experience with optimizing code for edge deployment.
NICE TO HAVE
Highly structured, analytical, task-aligned, and research-oriented.
Excellent communication and influence skills, with the ability to effectively translate and present complex algorithmic trade-offs to downstream users and senior stakeholders.
Thrives under pressure in a fast-paced environment with a “no-task-is-too-small” mentality toward building foundational team infrastructure.
Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Source: Harmattan Ai careers (Ashby)