π San Bruno, California
femtoAI develops machine learning compilers aimed at optimizing AI models for deployment on various hardware platforms. The company focuses on enhancing performance and efficiency in AI applications, likely targeting edge devices and embedded systems. Engineering efforts involve compiler design, optimization techniques, and integration with hardware accelerators. The team addresses challenges in model quantization and deployment, although specific details about headcount or notable projects are not publicly available.
Hardware Engineer
@ femtoAI
ML Compiler Engineer
@ femtoAI
Senior ML Compiler Engineer
@ femtoAI
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femtoAI develops machine learning compilers aimed at optimizing AI models for deployment on various hardware platforms. The company focuses on enhancing performance and efficiency in AI applications, likely targeting edge devices and embedded systems. Engineering efforts involve compiler design, optimization techniques, and integration with hardware accelerators. The team addresses challenges in model quantization and deployment, although specific details about headcount or notable projects are not publicly available.
femtoAI currently has 1 active embedded systems position in 1 location. All positions are on-site, typical for hardware-focused roles requiring lab access and equipment. Recognized as a top-tier employer (80.0/100), femtoAI offers competitive compensation and strong career development paths in embedded engineering.
* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026
Hiring momentum at femtoAI is currently increasing, with 1
opening 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, femtoAI averaged 0.5 job postings per month,
with peak hiring in Apr 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.
π New hiring activity
Consistent hiring velocity
Apr 2026
RTL is the most in-demand skill at femtoAI,
appearing in 33% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
femtoAI's technology stack spans 15 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (15 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining femtoAI should combine depth in key areas with adaptability. Strong hardware engineering skills are essential, particularly for engineers comfortable with circuit design, debugging, and working with development tools. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
femtoAI is currently hiring for a focused RTL Design Engineer position, likely to address a specific technical gap or project need.
Experience level distribution: 100% of openings target mid-level-level engineers.
femtoAI'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 femtoAI 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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