π San Francisco, California
Scale AI develops data annotation and management software to enhance machine learning models, headquartered in San Francisco, California. Their platform supports various industries, including autonomous vehicles and robotics, by providing high-quality labeled data for training AI systems. The engineering team focuses on software development, machine learning, and robotics, solving challenges related to data accuracy and efficiency. With a growing workforce, Scale AI is recognized for its significant contributions to the AI ecosystem, particularly in automating data workflows and improving model performance.
Robotics Quality Lead Associate
@ Scale AI
Robotics Quality Lead I
@ Scale AI
Strategic Project Lead, Robotics
@ Scale AI
Software Engineer, Robotics
@ Scale AI
Software Engineer, Robotics
@ Scale AI
Software Engineer, Robotics
@ Scale AI
Technical Program Manager, Robotics Data
@ Scale AI
ML Systems Engineer, Robotics
@ Scale AI
Strategic Project Lead, Robotics
@ Scale AI
Strategic Project Lead, Robotics
@ Scale AI
Robotics Engineer
@ Scale AI
Robotics Product Manager
@ Scale AI
Robotics Site Lead
@ Scale AI
Director of Robotics Operations
@ Scale AI
Solutions Engineer - Robotics
@ Scale AI
Software Engineer - Robotics & Autonomous Systems
@ Scale AI
Machine Learning Research Engineer - Robotics
@ Scale AI
Solutions Engineer - Robotics
@ Scale AI
Field Engineering Manager, Robotics
@ Scale AI
Solutions Engineer - Robotics
@ Scale AI
Strategic Projects Lead, Robotics
@ Scale AI
Strategic Projects Lead, Robotics
@ Scale AI
Robotics Field Engineer
@ Scale AI
Engineering Manager, Robotics
@ Scale AI
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Scale AI develops data annotation and management software to enhance machine learning models, headquartered in San Francisco, California. Their platform supports various industries, including autonomous vehicles and robotics, by providing high-quality labeled data for training AI systems. The engineering team focuses on software development, machine learning, and robotics, solving challenges related to data accuracy and efficiency. With a growing workforce, Scale AI is recognized for its significant contributions to the AI ecosystem, particularly in automating data workflows and improving model performance.
Scale AI operates in the embedded systems space with focus on Software Development. While no positions are currently listed, embedded companies often hire in cycles tied to product launches, R&D phases, or contract milestones. Engineers interested in Scale AI should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Nov 2025 through Apr 2026
Scale AI's hiring pace has moderated recently (2 openings this month vs 4 last month),
which is common after major hiring pushes or as projects move from development to deployment phases.
Over the past 6 months, Scale AI averaged 2.5 job postings per month,
with peak hiring in Feb 2026 (5 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.
π -50% change
Consistent hiring velocity
Feb 2026
Python is the most in-demand skill at Scale AI,
appearing in 58% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
Scale AI's technology stack spans 49 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (49 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining Scale AI 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.
Scale AI operates across 4 countries with 5
total hiring locations. Multi-geography recruitment typically indicates either distributed engineering teams,
expansion into new markets, or proximity to manufacturing and customer operations.
San Francisco Bay Area, United States serves as a primary hiring hub with 75% of all roles
(18 positions).
This concentration suggests San Francisco Bay Area hosts Scale AI's
main engineering center, where core product development likely occurs.
These employers share technical focus areas with Scale AI 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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