📍 San Jose, California
Deepreach.ai develops robotics solutions, focusing on AI-driven automation technologies. The company operates in the robotics sector, likely targeting applications in logistics and manufacturing. Engineering disciplines include robotics, machine learning, and computer vision, addressing challenges in autonomous navigation and robotic manipulation. Specific details about headcount or notable projects are not publicly available.
R&D Engineer, Firmware/固件软件工程师
@ Deepreach.ai
Robotics Research Intern
@ Deepreach.ai
Chief Scientist - Robotics
@ Deepreach.ai
Robotics Researcher
@ Deepreach.ai
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Deepreach.ai develops robotics solutions, focusing on AI-driven automation technologies. The company operates in the robotics sector, likely targeting applications in logistics and manufacturing. Engineering disciplines include robotics, machine learning, and computer vision, addressing challenges in autonomous navigation and robotic manipulation. Specific details about headcount or notable projects are not publicly available.
Deepreach.ai 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 (85.0/100), Deepreach.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 Deepreach.ai 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, Deepreach.ai averaged 0.7 job postings per month,
with peak hiring in Mar 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
Mar 2026
PyTorch is the most in-demand skill at Deepreach.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.
Deepreach.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 Deepreach.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.
Deepreach.ai is currently hiring for a focused Firmware Engineer position, likely to address a specific technical gap or project need.
Experience level distribution: 100% of openings target senior-level engineers.
Deepreach.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.
Fuzhou, Fujian, 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 Deepreach.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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