Algorithms & Optimization FPGA Engineer

Job Description

We are looking for an Algorithm Engineer with experience in optimizing software for CPUs, GPUs, DSPs, and FPGAs. The role involves developing high-performance algorithms for machine learning, computer vision, and numerical applications.

Responsibilities

• Develop and optimize algorithms for CPUs, GPUs, DSPs, and FPGAs.
• Work on machine learning, computer vision, and numerical libraries.
• Improve application performance through optimization techniques.
• Work closely with software and hardware teams.
• Analyze performance and fix bottlenecks.
• Support customer requirements and deliver optimized solutions.

Requirements

Education

B.E./B.Tech./M.E./M.Tech./MS in Computer Science, Electronics, ECE, or a related field.

Technical Skills (Must haves)

• Strong programming skills in C/C++.
• Experience with CUDA, OpenCL, or similar parallel programming technologies.
• Experience working with CPUs, GPUs, DSPs, or FPGAs.
• Hands-on experience with FPGA development using VHDL, Verilog, HLS, Xilinx Vivado/Vitis, Intel Quartus, or similar tools.
• Good understanding of performance optimization, parallel computing, and memory optimization.
• Good problem-solving and debugging skills.

Need to have (Can be bridged)

• 4+ years of experience in algorithm development or software optimization.
• Experience with hardware-oriented algorithm optimization and performance analysis.

Good to have (Not essential)

• Experience with TensorFlow, PyTorch, or other AI/ML frameworks.
• Knowledge of LLVM, MLIR, or TVM.
• Experience in embedded systems or AI acceleration.

Preferred Qualifications (Optional)

Experience in either Algorithm Optimization or FPGA acceleration, with the ability to develop high-performance solutions across target hardware architectures.