ML Benchmarking Engineer

As an ML Benchmarking Engineer, you will be the guardian of performance for our AI systems. You will design,implement, and maintain comprehensive evaluation frameworks to measure model throughput, latency, power consumption, and accuracy. You will work at the intersection of machine learning, systems architecture, and software engineering to identify bottlenecks, validate performance claims, and guide hardware/software optimization decisions.

Mandatory Skills – ML Benchmarking Engineer

• ML Model Benchmarking Experience
• All the AI resumes but we also want who have
• Experience on embedded or MCU or DSP platforms along with AI. This is with ML benchmarking
• Minimum 3+ years of experience in benchmarking ML models on hardware platforms
• Hands-on experience with platforms like Turing / HTP (Hexagon Tensor Processor)

Programming Skills

• Strong proficiency in Python
• Good experience in C / C++
• ML Frameworks
• Working knowledge of:
• PyTorch
• TensorFlow
• or similar ML frameworks

Hardware Platform Exposure

• Experience working with:
• Hardware accelerators
• Custom SoCs
• Neural processing
• Understanding of ML deployment on embedded / hardware platforms

Test Automation

• Experience developing or maintaining test automation frameworks
• Automation for ML model evaluation
• CI/CD Pipeline Experience
• Building and optimizing CI pipelines
• Experience with model/data ingestion workflows

Required Skills:

• 3+ years of experience in benchmarking ML models on hardware platforms
• Proficient in Python and C/C++
• Hands-on experience with PyTorch, TensorFlow, or similar frameworks
• Experience working with hardware accelerators and custom SoCs
• Strong debugging and problem-solving abilities
• Excellent teamwork and communication skills