FPGA Engineer

O-HIVE is developing a next-generation Visual Language Model (VLM) platform for Spatial Vision and Visual Inspection that enables manufacturers, robotics companies, and industrial operators to deploy AI-powered vision systems without extensive data acquisition, model training, or lengthy integration cycles.

Our platform combines on-device Visual Language Models, computer vision, spatial mapping, and edge AI acceleration to deliver same-day deployment and dynamic adaptability across industrial environments.

We are seeking a highly motivated FPGA Engineer to help accelerate our edge AI inference pipeline and deploy high-performance vision applications on next-generation FPGA and heterogeneous computing platforms.

As an FPGA Engineer, you will be responsible for designing, implementing, optimizing, and validating FPGA-based acceleration solutions for O-HIVE's Visual Language Model and computer vision workloads.

You will work closely with AI, embedded, software, and hardware engineers to develop high-performance edge AI solutions for industrial automation, robotics, visual inspection, and spatial vision applications.

This role offers the opportunity to contribute directly to the architecture and commercialization of cutting-edge AI products deployed in real-world manufacturing and industrial environments.

• Design and implement FPGA architectures for AI inference, image processing, and computer vision acceleration.
• Develop FPGA modules using:
• VHDL
• Verilog
• SystemVerilog
• High-Level Synthesis (HLS)
• Optimize performance, latency, throughput, and resource utilization.
• Develop and maintain FPGA firmware and hardware abstraction layers.
• Integrate FPGA accelerators with embedded processors and AI frameworks.

• Accelerate:
• CNNs
• Transformer architectures
• Visual Language Models
• Image preprocessing pipelines
• Spatial vision algorithms
• Support quantization and optimization of AI models for edge deployment.
• Implement custom DSP and image processing pipelines.

• Integrate FPGA solutions with:
• Cameras
• Imaging sensors
• Robotics systems
• Edge AI devices
• Embedded Linux platforms
• Collaborate with PCB and hardware teams during system development.

• Create simulation environments and verification frameworks.
• Conduct:
• Functional verification
• Timing analysis
• Hardware validation
• Performance benchmarking
• Debug FPGA designs using industry-standard tools.

• Participate in architecture discussions and technology roadmaps.
• Contribute to commercialization efforts and customer deployments.
• Support proof-of-concepts, pilot projects, and production releases.

• Bachelor's degree in:
• Electrical Engineering
• Computer Engineering
• Computer Science
• Related technical field
• 3+ years of FPGA development experience.

Experience with:

• VHDL
• Verilog/SystemVerilog
• FPGA design methodologies
• Timing closure and optimization
• Hardware debugging tools

Strong understanding of:

• Digital signal processing
• Computer architecture
• Embedded systems
• High-speed interfaces

Experience with:

• Xilinx AMD FPGA platforms
• Intel FPGA platforms
• FPGA simulation and verification tools

Experience with:

• Xilinx Vivado
• Vitis
• Vitis AI
• HLS design flows
• PCIe
• Ethernet
• MIPI CSI
• Camera interfaces
• DDR memory systems
• Embedded Linux

Knowledge of:

• AI acceleration
• Deep learning deployment
• Computer vision
• Robotics systems
• Spatial computing
• Edge AI architectures

Experience with:

• AMD Kria
• Zynq UltraScale+
• Versal AI Edge
• NVIDIA Jetson integration
• ROS/ROS2

• VHDL
• Verilog
• SystemVerilog
• HLS

• Computer Vision
• Deep Learning
• AI Inference Optimization
• Image Processing

• C/C++
• Python
• Linux

• Vivado
• Vitis
• ModelSim / Questa
• Git
• CI/CD pipelines

You will help develop:

• On-device Visual Language Model acceleration
• Real-time visual inspection systems
• Spatial vision and 3D perception pipelines
• Robotics perception systems
• Edge AI inference platforms
• Industrial automation solutions

• Build next-generation Visual Language Model technology.
• Work directly with robotics, semiconductor, manufacturing, and industrial automation partners.
• Contribute to products deployed in real-world industrial environments.
• Fast-moving startup environment with significant growth opportunities.
• Opportunity to work alongside industry leaders in AI, robotics, defense, and advanced manufacturing.