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
Design high-performance AI accelerator cards with focus on NXP and ARM GPUintegration
Develop NPU integration solutions for edge AI applications using Intel NeuralCompute Stick, Google Coral, and similar platforms
Create multi-GPU interconnect solutions using NVLink, PCIe Gen4 / 5, and CXLtechnologies
Design AI inference accelerator modules for edge computing and embedded AIapplications
Advanced PCB Design & Signal Integrity
Execute complex PCB layouts for high-speed AI computing systems (12+ layerboards, >
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 acceleratorcommunication buses
Implement advanced routing techniques for minimizing crosstalk in dense AIcomputing layouts
Perform pre-silicon signal integrity analysis using industry-standard simulationtools
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 precisevoltage regulation
Implement advanced cooling solutions including liquid cooling interfaces for AIapplications
Optimize power efficiency for AI workloads through intelligent powermanagement IC selection
Design thermal monitoring and protection circuits for AI hardware safetyAI Hardware Validation & Testing
Develop comprehensive test strategies for AI hardware validation including MLbenchmark testing
Perform hardware debugging using advanced tools (high-speed oscilloscopes,logic analyzers, thermal cameras)
Conduct AI workload stress testing and performance optimizationValidate AI hardware against industry standards (PCIe compliance, NVIDIA GPUspecifications)
Execute EMI / EMC testing and mitigation for AI computing systemsCross-functional Collaboration
Collaborate with AI software teams to optimize hardware-software co-design forML workloads
Work with mechanical engineers on thermal and form factor optimization for AIhardware
Partner with manufacturing teams to ensure AI hardware manufacturability andcost optimization
Support field deployment and troubleshooting of AI hardware systemsRequired Technical Skills & Experience
Core AI Hardware Expertise
6-10 years of experience in embedded / AI hardware design with focus on highperformance computingProven 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 computationalrequirements 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 high-speed digital design
o Mentor Graphics PADS or KiCad for specific applications
Advanced knowledge of high-speed digital design principles andmethodologies
Experience with signal integrity analysis tools (HyperLynx, SIwave, HFSS)Expertise in power integrity analysis and PDN optimizationAI-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 designconsiderations
Familiarity with AI software frameworks (TensorFlow, PyTorch) and theirhardware implications
Hardware Design & Validation
Proficiency with hardware debugging and validation tools :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
Experience with DFM / DFT practices for AI hardware manufacturingKnowledge of EMI / EMC compliance for high-frequency AI systemsIndustry Standards & Compliance
Understanding of relevant industry standards :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
B.E. / B.Tech in Electrical Engineering, Computer Engineering, or ElectronicsEngineering
M.E. / M.Tech preferred with focus on VLSI Design, Computer Architecture, orAI Hardware
Experience Requirements
Minimum 6 years of hands-on AI hardware or high-performance computing PCBdesign
At least 3 projects involving GPU or NPU integration from concept to productionProven track record of AI hardware optimization for performance and powerefficiency
Experience with AI hardware bring-up and system-level validationTechnical Certifications (Preferred)
IPC Designer Certification (CID or CID+)NVIDIA hardware partner certificationPCIe compliance testing experienceAltium Designer certificationPreferred Qualifications
Advanced AI Hardware Experience
Experience with FPGA-based AI acceleration (Xilinx Versal, Intel Stratix)Knowledge of neuromorphic computing architectures and implementationFamiliarity with quantum computing hardware interfacesExperience with AI chip design or custom ASIC integrationSpecialized Applications
Automotive AI hardware design with AEC-Q qualificationData center AI infrastructure design and optimizationEdge AI systems with power and thermal constraintsAI camera systems with real-time processing requirementsAdvanced 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 toolsExperience with hardware security for AI systemsIndustry Knowledge
Understanding of AI workload characteristics and hardware optimizationKnowledge of AI hardware trends and emerging technologiesFamiliarity with AI hardware startups and ecosystem dynamicsExperience with AI hardware patents and intellectual propertyWhat We Offer
Opportunity to work on cutting-edge AI hardware that shapes the future ofcomputing
Collaborative environment with leading AI researchers and engineersAccess to latest AI hardware development tools and technologiesCareer growth path in the rapidly expanding AI hardware fieldCompetitive compensationProfessional development through conferences and training programsEligibility Requirements
Legal authorization to work in the intended countryAbility to handle confidential and proprietary AI hardware designsWillingness to travel for hardware validation and customer support (up to 20%)Strong communication skills for cross-functional collaboration in AI project
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