📍 Mountain View, California
Gatik develops autonomous delivery vehicles designed for middle-mile logistics, headquartered in Mountain View, California. Their fleet operates in urban environments, utilizing advanced AI and machine learning to navigate and optimize delivery routes efficiently. Engineering teams focus on software development for vehicle autonomy, sensor integration, and real-time data processing. Gatik's unique approach includes deploying autonomous vans that can operate without a safety driver in specific geofenced areas, showcasing their commitment to innovation in the logistics sector.
Principal Edge AI Software Engineer - Embedded AI ML
@ Gatik
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Gatik develops autonomous delivery vehicles designed for middle-mile logistics, headquartered in Mountain View, California. Their fleet operates in urban environments, utilizing advanced AI and machine learning to navigate and optimize delivery routes efficiently. Engineering teams focus on software development for vehicle autonomy, sensor integration, and real-time data processing. Gatik's unique approach includes deploying autonomous vans that can operate without a safety driver in specific geofenced areas, showcasing their commitment to innovation in the logistics sector.
Gatik 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), Gatik offers competitive compensation and strong career development paths in embedded engineering.
* Data represents job posting activity over the past 6 months: Feb 2026 through Jul 2026
Hiring momentum at Gatik 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, Gatik averaged 0.5 job postings per month,
with peak hiring in Jul 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
Jul 2026
C++ is the most in-demand skill at Gatik,
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.
Gatik's technology stack spans 19 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (19 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining Gatik 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.
Gatik 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 principal-level engineers.
Gatik operates across 3 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.
Beijing, Beijing, China, China serves as a primary hiring hub with 25% of all roles
(1 position).
Engineering capabilities are distributed relatively evenly across locations, suggesting a
genuinely multi-site development model rather than a single headquarters-centric approach.
These employers share technical focus areas with Gatik 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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