๐ Zurich, Switzerland
Scandit develops advanced computer vision and augmented reality solutions for mobile devices, headquartered in Zurich, Switzerland. Its products include barcode scanning and object recognition technologies that enhance retail, logistics, and healthcare operations. The engineering team focuses on machine learning, computer vision, and mobile application development. Engineers solve challenges related to real-time data capture and processing on various mobile platforms. Scandit operates with a global presence, serving numerous clients across different industries, although specific employee counts and product details are not publicly disclosed.
Senior Embedded Machine Learning Engineer
@ Scandit
Senior Embedded Machine Learning Engineer
@ Scandit
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Scandit develops advanced computer vision and augmented reality solutions for mobile devices, headquartered in Zurich, Switzerland. Its products include barcode scanning and object recognition technologies that enhance retail, logistics, and healthcare operations. The engineering team focuses on machine learning, computer vision, and mobile application development. Engineers solve challenges related to real-time data capture and processing on various mobile platforms. Scandit operates with a global presence, serving numerous clients across different industries, although specific employee counts and product details are not publicly disclosed.
Scandit currently has 2 active embedded systems positions in 1 location. All positions are on-site, typical for hardware-focused roles requiring lab access and equipment.
* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026
Hiring momentum at Scandit is currently increasing, with 2
openings posted this month compared to 0 last month.
This upward trend often signals product development acceleration, team scaling, or new project initiatives.
Over the past 6 months, Scandit averaged 0.3 job postings per month,
with peak hiring in Jun 2026 (2 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
๐ New hiring activity
Consistent hiring velocity
Jun 2026
C++ is the most in-demand skill at Scandit,
appearing in 100% of current job listings.
This universal requirement indicates C++ forms the core of Scandit's
technical stack across all engineering teams.
Scandit's technology stack spans 6 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Scandit should combine depth in key areas with adaptability. Firmware development expertise is critical, especially for engineers skilled in bare-metal programming, RTOS development, and optimizing code for resource-constrained systems. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Scandit's primary hiring focus is Embedded Systems Engineer with
2 open positions. High-volume recruitment for a single role type typically indicates
either a growing team building similar capabilities or a newly formed department scaling rapidly.
Multiple openings in the same discipline create advantages for new hires:
stronger peer support networks, established onboarding processes, and clearer career progression paths
as the team matures. Engineers often find collaborative environments more conducive to professional growth.
Experience level distribution: 100% of openings target senior-level engineers.
Scandit's engineering operations are concentrated in a single country across 1 location. A single-location focus enables tight team collaboration and simplified operations, particularly valuable for hardware-intensive development requiring shared lab facilities.
These employers share technical focus areas with Scandit and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
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