FPGA Engineer

FPGA Engineer — Job Description

Role Summary
We are seeking an FPGA Engineer to design, implement, and optimize high-performance hardware architectures for real-time 3D vision, AI acceleration, and robotics systems. You will work closely with computer vision, SLAM, and embedded teams to build low-latency pipelines running on custom FPGA or ASIC-bound designs.

Key Responsibilities1. FPGA Architecture & Development

• Design and implement FPGA logic using Verilog/VHDL/SystemVerilog.
• Develop high-throughput pipelines for:
• 3D vision preprocessing (image rectification, stereo matching, depth estimation)
• Point cloud generation & filtering
• SLAM feature extraction and tracking
• AI/ML model acceleration
• Implement DMA, memory controllers, and high-speed data interfaces.

2. High-Speed Interface Integration

• Integrate FPGA with:
• MIPI CSI-2 / D-PHY, LVDS cameras
• PCIe, Ethernet, SPI, I2C, CAN, and custom interfaces
• Multi-core MCUs, NPUs, GPUs, and edge compute modules
• Optimize data flow between sensors, FPGA, and downstream processors.

3. Hardware Acceleration for Vision & AI

• Build accelerators for:
• YOLO / CNN models
• Geometry-based vision kernels (SAD, SGBM, optical flow)
• Feature extractors (ORB, FAST, FREAK)
• Spatial AI modules (pose estimation, ICP, voxel fusion)
• Explore quantization, pruning, and hardware-friendly model design.

4. Performance Optimization

• Optimize for latency, throughput, and low power.
• Parallelize computation through pipelining, multi-buffering, and clock-domain optimization.
• Perform timing closure, resource budgeting, and synthesis optimization.

5. Validation & Hardware Bring-Up

• Bring up FPGA boards, cameras, and custom hardware.
• Develop testbenches and verification frameworks.
• Debug hardware using logic analyzers, oscilloscopes, and on-chip logic tools (ILA, SignalTap).
• Collaborate closely with embedded software to ensure full-system integration.

Required Qualifications

• BS/MS in Electrical Engineering, Computer Engineering, or equivalent.
• Strong experience with FPGA development (Xilinx, Intel, Lattice, or Microchip).
• Proficient in Verilog/VHDL, SystemVerilog, and hardware debugging.
• Understanding of computer architecture, DMA, memory hierarchy, and real-time systems.
• Experience with MIPI CSI-2, PCIe, or high-bandwidth streaming interfaces.

Preferred Experience

• Experience accelerating vision or AI algorithms on FPGA.
• Experience with SLAM hardware acceleration or sensor fusion pipelines.
• Familiarity with:
• Vivado, Vitis, Quartus, ModelSim, HLS tools
• OpenCL-based FPGA acceleration
• Embedded systems (ARM, RISC-V)
• ASIC design flow in partnership with foundries (e.g., Alchip)
• Experience with ultra-compact FPGA modules for mobile/embedded form factors.

Soft Skills

• Strong problem-solving and debugging skills.
• Ability to collaborate with cross-functional vision, robotics, and embedded teams.
• Comfortable in fast-paced R&D environments.

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹3,000,000.00 per year