Qubrid AI logo

Qubrid AI

Qubrid AI

From $5 to $5B - AI Infrastructure for All

๐Ÿ“ McLean, Virginia

1 Open Position
1 Active Location
Posted

About Qubrid AI

Qubrid AI develops AI-driven solutions, likely leveraging NVIDIA GPUs for high-performance computing tasks. The company focuses on applications in machine learning and data analysis, although specific products or markets are not publicly detailed. Engineering efforts likely involve software development for AI algorithms and GPU optimization, with a focus on performance and scalability. Limited information is available regarding the company's size, specific technologies used, or notable projects.

Current Job Openings

1 jobs

All Qubrid AI Job Openings

  • Qubrid AI logo

    NVIDIA GPU Engineer WFH

    @ Qubrid AI

    ๐Ÿ“India, India ๐Ÿ‡ฎ๐Ÿ‡ณ
    ๐Ÿ“Š junior
    โฑ๏ธŽ full-time
    GPU CUDA NCCL
    View NVIDIA GPU Engineer WFH
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Industries
Consumer Electronics AI
Company Info
Employees 11-50
Founded 2024
Glassdoor 4.2
Connect
Active Hiring Locations
๐Ÿ“ India, India ๐Ÿ‡ฎ๐Ÿ‡ณ 1
Top Roles
Embedded Systems Engineer (1)
Key Skills
GPU CUDA NCCL TensorRT Kubernetes
Seniority Levels
junior (1)
Work Arrangement
On-site (1)

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About Qubrid AI

Qubrid AI develops AI-driven solutions, likely leveraging NVIDIA GPUs for high-performance computing tasks. The company focuses on applications in machine learning and data analysis, although specific products or markets are not publicly detailed. Engineering efforts likely involve software development for AI algorithms and GPU optimization, with a focus on performance and scalability. Limited information is available regarding the company's size, specific technologies used, or notable projects.

Qubrid AI Career Opportunities

Qubrid 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.

Qubrid AI Hiring Trends

* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026

Hiring momentum at Qubrid 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, Qubrid AI averaged 0.2 job postings per month, with peak hiring in Jun 2026 (1 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.

Current Month
1 job

๐Ÿ“ˆ New hiring activity

6-Month Average
0.2 jobs/month

Consistent hiring velocity

Peak Activity
1 jobs

Jun 2026

Required Skills at Qubrid AI

GPU is the most in-demand skill at Qubrid AI, appearing in 100% of current job listings. This universal requirement indicates GPU forms the core of Qubrid AI's technical stack across all engineering teams.

Qubrid AI's technology stack spans 5 distinct skills and tools, reflecting the multifaceted nature of embedded systems development. The focused skill requirements suggest specialized work in specific embedded domains.

GPU
100% of roles
100%
CUDA
100% of roles
100%
NCCL
100% of roles
100%
TensorRT
100% of roles
100%
Kubernetes
100% of roles
100%

Engineering Roles at Qubrid AI

Qubrid AI is currently hiring for a focused Embedded Systems Engineer position, likely to address a specific technical gap or project need.

Embedded Systems Engineer
1 position (100%)
1

Experience level distribution: 100% of openings target junior-level engineers.

Where Qubrid AI is Hiring

Qubrid AI'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.

๐Ÿ‡ฎ๐Ÿ‡ณ
India, India
1 active job
1

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These employers share technical focus areas with Qubrid 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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