Senior AI Accelerator Hardware Engineer

Senior 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