High-Performance Computing Architect
2 days ago
Job Overview
">This is a unique opportunity to lead the design and implementation of cutting-edge GPU computers that can handle demanding deep learning, high-performance computing, and computationally intensive workloads.
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- You will provide leadership in architecting and implementing innovative solutions for accelerating our deep learning models.">
- We seek an expert to identify architectural changes and/or completely new approaches for improving the performance of 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 modeling, and growth planning across our products and services.">
- 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 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.">
- Assign tasks to the team and monitor progress.">
Required Skills and Qualifications
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- MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deploying complex deep learning architectures is required.">
- 7+ years of relevant experience in at least a few of the following areas is required: Machine learning (with focus on Deep Neural Networks), numerical analysis, performance analysis, model compression, and optimization & computer architecture.">
- Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills.">
- Hands-on expertise with PyTorch, TensorRT, CuDNN, CUDA, OpenCL, OpenACC, MPI, and OpenMP.">
- In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud.">
- Proficient in Python programming and bash scripting.">
- Proficient in Windows, Ubuntu, and CentOS operating systems.">
- Excellent communication and collaboration skills.">
- Self-motivated and able to find creative practical solutions to problems.">
About Our Solutions
">Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology, and ophthalmology workflows across pharmaceutical and healthcare laboratories.
">We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain by speeding up pre-clinical drug development timelines and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. We offer flexible service models to deploy custom solutions with minimal resource and time commitment from your side.
">Our Application Development Team plays an important role in developing customer-facing applications to access our AI solutions and enterprise-level image management systems in life sciences.
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