๐ San Jose, California
SiMa.ai develops AI-focused hardware and software solutions for edge computing, headquartered in San Diego, California. Their products include the MLSoC platform, which integrates machine learning capabilities directly into edge devices, targeting applications in robotics and autonomous systems. The engineering team specializes in embedded systems, robotics, and software development, addressing challenges like low-power processing and real-time data analysis. With a focus on optimizing AI workloads for edge environments, SiMa.ai is positioned to support a growing market for intelligent devices, although specific employee counts and product details remain limited.
MTS, Robotics Engineer
@ SiMa.ai
Principal Software Engineer, Embedded Linux
@ SiMa.ai
MTS, Robotics Engineer
@ SiMa.ai
Robotics Software Intern
@ SiMa.ai
Principal Engineer, Robotics Software
@ SiMa.ai
MTS, Robotics Engineer
@ SiMa.ai
Principal Applications Engineer, Robotics
@ SiMa.ai
Staff Software Engineer, Embedded Linux
@ SiMa.ai
Staff Software Engineer, Embedded Linux
@ SiMa.ai
Staff Software Engineer, Embedded Linux
@ SiMa.ai
Staff Software Engineer, Embedded Linux
@ SiMa.ai
MTS, Robotics Engineer
@ SiMa.ai
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SiMa.ai develops AI-focused hardware and software solutions for edge computing, headquartered in San Diego, California. Their products include the MLSoC platform, which integrates machine learning capabilities directly into edge devices, targeting applications in robotics and autonomous systems. The engineering team specializes in embedded systems, robotics, and software development, addressing challenges like low-power processing and real-time data analysis. With a focus on optimizing AI workloads for edge environments, SiMa.ai is positioned to support a growing market for intelligent devices, although specific employee counts and product details remain limited.
SiMa.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 SiMa.ai should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026
SiMa.ai's hiring pace has moderated recently (1 openings this month vs 2 last month),
which is common after major hiring pushes or as projects move from development to deployment phases.
Over the past 6 months, SiMa.ai averaged 0.8 job postings per month,
with peak hiring in May 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 -50% change
Consistent hiring velocity
May 2026
Linux is the most in-demand skill at SiMa.ai,
appearing in 50% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
SiMa.ai's technology stack spans 20 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (20 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining SiMa.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.
SiMa.ai operates across 2 countries with 4
total hiring locations. Multi-geography recruitment typically indicates either distributed engineering teams,
expansion into new markets, or proximity to manufacturing and customer operations.
Bengaluru, India serves as a primary hiring hub with 42% of all roles
(5 positions).
The significant presence in Bengaluru indicates a major engineering hub,
though other locations also play important roles in product development.
These employers share technical focus areas with SiMa.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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