High Salary! Senior Printed Circuit Board Design Engineer
Omnidya IndiaJunagadh, Gujarat, IndiaSenior Printed Circuit Board Design Engineer
About Omnidya
Omnidya is a leading insurtech company revolutionizing the insurance industry through
innovative technology solutions. We leverage cutting-edge AI, computer vision, and
hardware / software integrations to transform insurance processes, risk assessment,
and customer experiences.
Role Summary
We are seeking a highly skilled Senior AI Hardware Engineer with 6-10 years of
specialized experience in PCB design for AI computing systems. This role focuses on
designing, developing, and optimizing custom circuit boards that integrate GPUs,
NPUs, and other AI accelerators for next-generation AI applications. The ideal
candidate will have deep expertise in high-performance computing hardware, thermal
management for AI workloads, and signal integrity optimization for AI processing
systems.
This position involves full-cycle AI hardware development from concept to production,
working with cutting-edge AI accelerators, high-speed interfaces, and power delivery
systems optimized for machine learning workloads. You will collaborate with AI
software teams, system architects, and manufacturing partners to deliver robust,
scalable AI hardware solutions.
Key Responsibilities
AI Hardware Design & Development
- Lead the design and development of custom PCBs for AI computing
applications, including GPU and NPU integration boards
integration
Compute Stick, Google Coral, and similar platforms
technologies
applications
Advanced PCB Design & Signal Integrity
boards, >
1000 pin BGAs)
(DDR4 / DDR5, HBM2 / HBM3)
communication buses
computing layouts
tools
Thermal Management & Power Delivery
TDP)
voltage regulation
applications
management IC selection
AI Hardware Validation & Testing
benchmark testing
logic analyzers, thermal cameras)
specifications)
Cross-functional Collaboration
ML workloads
hardware
cost optimization
Required Technical Skills & Experience
Core AI Hardware Expertise
Quadro, Tesla series)
Google TPU, Qualcomm NPU)
requirements for ML workloads
Advanced PCB Design Skills
o Altium Designer (preferred for AI hardware complexity)
o Cadence Allegro for high-speed digital design
o Mentor Graphics PADS or KiCad for specific applications
methodologies
AI-Specific Technical Requirements
GDDR6 / 6X)
InfiniBand)
considerations
hardware implications
Hardware Design & Validation
o High-speed oscilloscopes (>
10 GHz bandwidth)
o Logic analyzers for AI bus protocol analysis
o Thermal imaging cameras and power analyzers
o JTAG debuggers and boundary scan tools
Industry Standards & Compliance
o PCI-SIG specifications (PCIe Gen4 / 5, CEM)
o JEDEC standards for memory interfaces
o IPC standards for PCB design and manufacturing
o NVIDIA GPU design guidelines and AMD GPU specifications
Must-Have Qualifications
Educational Background
Engineering
AI Hardware
Experience Requirements
design
efficiency
Technical Certifications (Preferred)
Preferred Qualifications
Advanced AI Hardware Experience
Specialized Applications
Advanced Tools & Technologies
Industry Knowledge
What We Offer
computing
Eligibility Requirements
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