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.

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.