Algorithms & Optimization FPGA Engineer

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.

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.