Starbird AI develops AI-driven solutions, likely focusing on FPGA technology for various applications. The company is positioned to serve markets that require high-performance computing and real-time data processing. Engineering efforts at Starbird AI likely involve digital design, hardware acceleration, and algorithm optimization for FPGAs. With a small team, the company emphasizes specialized expertise in AI and hardware integration, although specific details about products or headcount are not publicly available.
Real - Time Embedded Engineer
@ Starbird AI
Senior FPGA engineer
@ Starbird AI
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Starbird AI develops AI-driven solutions, likely focusing on FPGA technology for various applications. The company is positioned to serve markets that require high-performance computing and real-time data processing. Engineering efforts at Starbird AI likely involve digital design, hardware acceleration, and algorithm optimization for FPGAs. With a small team, the company emphasizes specialized expertise in AI and hardware integration, although specific details about products or headcount are not publicly available.
Starbird AI 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. Recognized as a top-tier employer (85.0/100), Starbird AI 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 Starbird AI 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, Starbird AI 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
ARM is the most in-demand skill at Starbird AI,
appearing in 50% of current job listings.
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
Starbird AI's technology stack spans 10 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Starbird AI should combine depth in key areas with adaptability. The mix of hardware skills (PCB design, schematics) and firmware expertise (RTOS, embedded C) indicates full-stack embedded development where engineers work across the hardware-software boundary. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Starbird AI is building across 2 distinct engineering specializations, reflecting varied technical needs. This diversity suggests cross-functional projects where firmware engineers, hardware designers, and systems architects collaborate on integrated solutions.
Experience level distribution: 50% of openings target mid-level-level engineers.
Starbird AI'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 Starbird 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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