Lead Engineer (HPC, GPU, CUDA)

Responsibilities:-

● We seek an expert to identify architectural changes and/or completely new approaches for

accelerating our deep learning models.

● As an architect you are responsible for converting business needs associated with AI-ML

algorithms into a set of product goals covering workload scenarios, end user expectations,

compute infrastructure and time of execution; this should lead to a plan for making the

algorithms production ready

● Benchmark and optimize the Computer Vision Algorithms for performance and quality KPIs

on the heterogeneous hardware stacks (GPU + CPU, etc.)

● Collaborate with various teams to drive an end to end workflow from data curation and

training to performance optimization and deployment.

Skills Required:-

● Bachelors or Higher in Computer Science, Electrical Engineering, or related field. A strong

background in de...