Principal Engineer - HPC / CUDA / GPU

Key Responsibilities :

• You will provide leadership in designing and implementing groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads.
• We seek an expert to identify architectural changes and / or completely new approaches for accelerating our deep learning models.
• As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private / public cloud strategy, capacity modelling, and growth planning across our products and services.
• As an architect you are responsible for converting business needs associated with AI-ML algorithms in to 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 optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs.
• Optimize algorithms for optimal performance on the GPU tensor cores.
• Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment.
• Provide technical leadership and expertise for project deliverables.
• Leading, mentoring and managing the technical team.

Key Qualifications :

Good to have :

(ref : hirist.tech)