📍 Freiburg, Baden-Württemberg
Black Forest Labs develops software solutions for robotics applications, focusing on advanced algorithms and machine learning techniques. Based on its engineering roles, the company likely serves industries that require automation and intelligent systems. The engineering team specializes in robotics software development, addressing challenges such as perception, navigation, and control systems. With a small team, Black Forest Labs emphasizes a hands-on approach to problem-solving in the robotics domain, although specific details about headcount or notable projects are not publicly available.
Forward Deployed, Robotics Engineer
@ Black Forest Labs
Forward Deployed, Robotics Engineer
@ Black Forest Labs
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Black Forest Labs develops software solutions for robotics applications, focusing on advanced algorithms and machine learning techniques. Based on its engineering roles, the company likely serves industries that require automation and intelligent systems. The engineering team specializes in robotics software development, addressing challenges such as perception, navigation, and control systems. With a small team, Black Forest Labs emphasizes a hands-on approach to problem-solving in the robotics domain, although specific details about headcount or notable projects are not publicly available.
Black Forest Labs 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. Black Forest Labs (rating: 40.0/100) actively recruits embedded talent for product development and engineering roles.
* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026
Hiring momentum at Black Forest Labs 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, Black Forest Labs 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.
📈 New hiring activity
Consistent hiring velocity
Jun 2026
robotics is the most in-demand skill at Black Forest Labs,
appearing in 100% of current job listings.
This universal requirement indicates robotics forms the core of Black Forest Labs's
technical stack across all engineering teams.
Black Forest Labs's technology stack spans 8 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Black Forest Labs should combine depth in key areas with adaptability. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Black Forest Labs'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 mid-level-level engineers.
Black Forest Labs's engineering operations are concentrated in a single country across 2 locations. Multiple cities within one country often reflect regional talent pools or proximity to specific industry clusters (e.g., automotive in Detroit, semiconductors in Silicon Valley).
These employers share technical focus areas with Black Forest Labs 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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