Sevensense
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About
Sevensense provides high-performance Visual AI solutions designed to give mobile robots and industrial vehicles "eyes and brains." By utilizing advanced Visual Simultaneous Localization and Mapping (VSLAM) and 3D perception, the platform enables vehicles to navigate complex, dynamic environments without the need for external infrastructure like beacons or reflectors. Now integrated with ABB’s global robotics ecosystem, the technology aims to bridge the gap between manual operations and full automation by providing a unified spatial awareness across entire fleets. The core of the technology lies in the Alphasense product line. Alphasense Position offers a multi-camera, industrial-grade Visual-SLAM solution that performs 3D positioning on the edge for ground vehicles. It constructs accurate 3D maps and uses AI to localize the robot regardless of lighting changes or environmental shifts. Alphasense Tracker extends these capabilities to manually operated vehicles, such as forklifts, creating a Real-Time Locating System (RTLS). This allows warehouse managers to track all assets—autonomous and manual—on a single map to eliminate bottlenecks and optimize traffic flow. This suite is primarily intended for manufacturers of Autonomous Mobile Robots (AMRs), industrial vehicle OEMs, and logistics facility managers. It is particularly effective for those operating in GPS-denied indoor environments, such as large-scale warehouses, manufacturing plants, or commercial cleaning sectors. Companies like Wetrok use it to power professional cleaning robots, while intralogistics providers use it to optimize material flow and ensure workers and robots move in sync through shared spatial awareness. What distinguishes Sevensense from traditional LIDAR-based or beacon-based navigation is its reliance on camera-based perception. The system is designed to be "infrastructure-free," meaning it can be deployed rapidly without modifying the physical environment. Its ability to handle "human-like perception" allows it to remain reliable in highly dynamic settings where objects are frequently moved, or where lighting conditions vary from bright sunlight to total darkness. This adaptability reduces operational costs and asset downtime while extending the life of existing manual fleets.
Pros & Cons
Works in GPS-denied environments using camera-based technology.
Infrastructure-free deployment eliminates the need for physical markers or beacons.
Operates reliably under varying lighting conditions including day, night, and rain.
Provides unified tracking for both autonomous and manual vehicle fleets.
Edge AI processing allows for real-time 3D positioning directly on the vehicle.
Requires high-precision mapping of the environment before the system becomes operational.
Integration requires specific hardware mounting requirements for the Alphasense sensors.
Effectiveness depends on the placement and visibility of multiple industrial-grade cameras.
Use Cases
Autonomous Mobile Robot manufacturers can integrate visual SLAM to allow robots to navigate complex floors without beacons.
Warehouse managers can track manually operated forklifts using the Alphasense Tracker to identify and resolve operational bottlenecks.
Cleaning equipment companies like Wetrok can automate floor scrubbers, allowing them to outperform competitors in dynamic public spaces.
Logistics operators can sync human-driven vehicles and autonomous fleets on a single map for optimized material flow.
Platform
Task
Features
• gps-denied environment support
• high-precision 3d mapping
• shared spatial awareness
• real-time locating system (rtls)
• edge ai 3d positioning
• multi-camera industrial grade
• infrastructure-free localization
• visual slam positioning
FAQs
How does Sevensense handle weather and illumination changes?
The system uses advanced AI techniques to ensure localization remains precise during day or night and in conditions like sun or rain. It matches real-time observations against a pre-constructed 3D map to navigate even when objects in the environment have been moved.
What are the hardware requirements for Alphasense?
The Alphasense solution utilizes a multi-camera, industrial-grade setup that performs edge AI processing for 3D positioning. It is designed to be integrated into any kind of ground vehicle, including both autonomous mobile robots and manually operated industrial trucks.
Do you need special hardware to build a map of the environment?
The localization system works by constructing accurate 3D maps using sensors that are built directly into the robots. This infrastructure-free approach avoids the need for external markers or GPS, relying instead on the onboard visual spatial intelligence.
Job Opportunities
R&D Team Lead - Robotic Software Engineering (80-100%)
Enhance industrial fleet efficiency with infrastructure-free Visual AI and SLAM technology for seamless navigation of both autonomous and manual vehicles.
Benefits:
Culture of collaboration
Personal growth
Technical excellence
Lifelong learning
Tools and support
Education Requirements:
Bachelor’s degree in engineering, computer science or similar
Experience Requirements:
5+ years of industry experience in software development
2+ years of leadership experience through leading teams, projects or mentoring others
Other Requirements:
Solid English language skills
Experience with docker
Experience with development of HTTP based APIs
SQL, DevOps, cloud technologies
Familiarity with Linux and Debian-based distributions
Responsibilities:
Managing hiring, onboarding, and mentoring
Encouraging a culture of collaboration, personal growth and technical excellence
Taking ownership of and maintaining a diverse set of software systems
Working closely with robotic algorithms and project/product teams
Implementing standards and best practices for code quality, reproducibility, and security
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Senior Embedded Platform Engineer (80-100%)
Enhance industrial fleet efficiency with infrastructure-free Visual AI and SLAM technology for seamless navigation of both autonomous and manual vehicles.
Benefits:
Unique opportunity to join Sevensense/ABB
Professional career development opportunities
Competitive compensation package
Modern office in the center of Zurich
Ambitious, supportive and international team
Education Requirements:
Masters degree in (Electrical) Engineering
Experience Requirements:
Experienced with Altium, KiCAD, Autodesk Fusion/EAGLE or similar CAD programs
Capable of simulating electric circuits in spice tools like LTSpice
Proficient with standard electronic lab tools like oscilloscopes and logic analyzers
Knowledge of C, C++, or Python
Other Requirements:
Basic understanding of the regulatory compliance process
Responsible and detail-oriented team player
Can-do mindset
Ability to take ownership of projects
Responsibilities:
Design prototypes for next generation products
Oversee prototype fabrication, including bring-up and debugging
Maintain the portfolio of Sevensense products and handle change requests
Validate designs through extensive testing of thermal, vibration, and EMC
Create test strategies and requirements for production PCBAs
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Robotics Test Automation Engineer
Enhance industrial fleet efficiency with infrastructure-free Visual AI and SLAM technology for seamless navigation of both autonomous and manual vehicles.
Benefits:
Lunch Allowance / Cantine
Private Health Insurance
Home Office Flexibility
Company Mobile Phone
Employee Parking
Education Requirements:
Degree in Computer Science, Robotics or a related field
Experience Requirements:
3+ years of experience in test automation, DevOps, or software test engineering
Software engineering skills for test harness development and automation tooling
Other Requirements:
Advanced skills with CI/CD systems like Gitlab CI
Familiarity with Linux and Debian-based distributions
Ease communicating in English
Responsibilities:
Developing and scaling automated test execution pipelines
Ensuring automated regression tests run reliably and reproducibly
Implementing CI/CD integrations and infrastructure improvements
Supporting the Robotic Systems team in extending coverage
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