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.