Senior PCB Design Engineer

Senior AI Hardware Engineer - PCB Design Specialist

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

• Design high-performance AI accelerator cards with focus on NXP and ARM GPU

integration

• Develop NPU integration solutions for edge AI applications using Intel Neural

Compute Stick, Google Coral, and similar platforms

• Create multi-GPU interconnect solutions using NVLink, PCIe Gen4/5, and CXL

technologies

• Design AI inference accelerator modules for edge computing and embedded AI

applications

Advanced PCB Design & Signal Integrity

• Execute complex PCB layouts for high-speed AI computing systems (12+ layer

boards, >1000 pin BGAs)

• Optimize signal integrity for high-frequency AI processor interfaces

(DDR4/DDR5, HBM2/HBM3)

• Design and validate high-speed differential pairs for AI accelerator

communication buses

• Implement advanced routing techniques for minimizing crosstalk in dense AI

computing layouts

• Perform pre-silicon signal integrity analysis using industry-standard simulation

tools

Thermal Management & Power Delivery

• Design sophisticated thermal solutions for high-power AI processors (300W+

TDP)

• Develop power delivery networks (PDN) for multi-rail AI systems with precise

voltage regulation

• Implement advanced cooling solutions including liquid cooling interfaces for AI

applications

• Optimize power efficiency for AI workloads through intelligent power

management IC selection

• Design thermal monitoring and protection circuits for AI hardware safety

AI Hardware Validation & Testing

• Develop comprehensive test strategies for AI hardware validation including ML

benchmark testing

• Perform hardware debugging using advanced tools (high-speed oscilloscopes,

logic analyzers, thermal cameras)

• Conduct AI workload stress testing and performance optimization
• Validate AI hardware against industry standards (PCIe compliance, NVIDIA GPU

specifications)

• Execute EMI/EMC testing and mitigation for AI computing systems

Cross-functional Collaboration

• Collaborate with AI software teams to optimize hardware-software co-design for

ML workloads

• Work with mechanical engineers on thermal and form factor optimization for AI

hardware

• Partner with manufacturing teams to ensure AI hardware manufacturability and

cost optimization

• Support field deployment and troubleshooting of AI hardware systems

Required Technical Skills & Experience

Core AI Hardware Expertise

• 6-10 years of experience in embedded/AI hardware design with focus on highperformance computing
• Proven experience designing PCBs for GPU integration (NVIDIA GeForce,

Quadro, Tesla series)

• Hands-on experience with NPU and AI accelerator integration (Intel VPU,

Google TPU, Qualcomm NPU)

• Deep understanding of AI hardware architectures and computational

requirements for ML workloads

Advanced PCB Design Skills

• Expert proficiency in professional PCB design tools:
• Altium Designer (preferred for AI hardware complexity)
• Cadence Allegro for high-speed digital design
• Mentor Graphics PADS or KiCad for specific applications
• Advanced knowledge of high-speed digital design principles and

methodologies

• Experience with signal integrity analysis tools (HyperLynx, SIwave, HFSS)
• Expertise in power integrity analysis and PDN optimization

AI-Specific Technical Requirements

• Experience with high-bandwidth memory interfaces (HBM2, HBM3,

GDDR6/6X)

• Knowledge of AI interconnect standards (NVLink, PCIe Gen4/5, CXL,

InfiniBand)

• Understanding of AI processor power requirements and thermal design

considerations

• Familiarity with AI software frameworks (TensorFlow, PyTorch) and their

hardware implications

Hardware Design & Validation

• Proficiency with hardware debugging and validation tools:
• High-speed oscilloscopes (>10 GHz bandwidth)
• Logic analyzers for AI bus protocol analysis
• Thermal imaging cameras and power analyzers
• JTAG debuggers and boundary scan tools
• Experience with DFM/DFT practices for AI hardware manufacturing
• Knowledge of EMI/EMC compliance for high-frequency AI systems

Industry Standards & Compliance

• Understanding of relevant industry standards:
• PCI-SIG specifications (PCIe Gen4/5, CEM)
• JEDEC standards for memory interfaces
• IPC standards for PCB design and manufacturing
• NVIDIA GPU design guidelines and AMD GPU specifications

Must-Have Qualifications

Educational Background

• B.E./B.Tech in Electrical Engineering, Computer Engineering, or Electronics

Engineering

• M.E./M.Tech preferred with focus on VLSI Design, Computer Architecture, or

AI Hardware

Experience Requirements

• Minimum 6 years of hands-on AI hardware or high-performance computing PCB

design

• At least 3 projects involving GPU or NPU integration from concept to production
• Proven track record of AI hardware optimization for performance and power

efficiency

• Experience with AI hardware bring-up and system-level validation

Technical Certifications (Preferred)

• IPC Designer Certification (CID or CID+)
• NVIDIA hardware partner certification
• PCIe compliance testing experience
• Altium Designer certification

Preferred Qualifications

Advanced AI Hardware Experience

• Experience with FPGA-based AI acceleration (Xilinx Versal, Intel Stratix)
• Knowledge of neuromorphic computing architectures and implementation
• Familiarity with quantum computing hardware interfaces
• Experience with AI chip design or custom ASIC integration

Specialized Applications

• Automotive AI hardware design with AEC-Q qualification
• Data center AI infrastructure design and optimization
• Edge AI systems with power and thermal constraints
• AI camera systems with real-time processing requirements

Advanced Tools & Technologies

• Experience with AI hardware simulation tools (Ansys, Synopsys)
• Knowledge of advanced cooling solutions (vapor chambers, liquid cooling)
• Familiarity with AI benchmarking and performance analysis tools
• Experience with hardware security for AI systems

Industry Knowledge

• Understanding of AI workload characteristics and hardware optimization
• Knowledge of AI hardware trends and emerging technologies
• Familiarity with AI hardware startups and ecosystem dynamics
• Experience with AI hardware patents and intellectual property

What We Offer

• Opportunity to work on cutting-edge AI hardware that shapes the future of

computing

• Collaborative environment with leading AI researchers and engineers
• Access to latest AI hardware development tools and technologies
• Career growth path in the rapidly expanding AI hardware field
• Competitive compensation
• Professional development through conferences and training programs

Eligibility Requirements

• Legal authorization to work in the intended country
• Ability to handle confidential and proprietary AI hardware designs
• Willingness to travel for hardware validation and customer support (up to 20%)
• Strong communication skills for cross-functional collaboration in AI projects