Senior Hardware Engineer - PCB Design Specialist

Position: Senior Hardware Engineer - PCB  Design Specialist
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 high
performance 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:
o Altium Designer (preferred for AI hardware complexity)
o Cadence Allegro for…