GPU Engineer

You will provide leadership in designing and implementing high-performance GPU computers that run demanding deep learning, computational intensive workloads, and AI applications.

• We seek an expert to identify architectural changes and/or completely new approaches for accelerating our machine learning models.
• As a technical leader, you are responsible for converting business needs associated with AI algorithms into a set of product goals covering workload scenarios, end-user expectations, compute infrastructure, and execution time; this should lead to a plan for making the algorithms production-ready
• Benchmark and optimise computer vision algorithms and hardware accelerators for performance and quality metrics.
• Optimise 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 optimisation and deployment.

• MS or PhD in Computer Science, Electrical Engineering, or related field.
• 7+ years of relevant experience in machine learning, including understanding of DL fundamentals, adapting and training DNNs, and developing code for DNN training frameworks.
• Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills.
• Hands-on expertise with PyTorch, TensorRT, CuDNN, GPU computing (CUDA, OpenCL, OpenACC), and HPC (MPI, OpenMP).
• In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud.
• Proficient in Python programming and bash scripting.
• Excellent communication and collaboration skills.

We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. We improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology, and ophthalmology workflows across pharmaceutical and healthcare laboratories.

We collaborate with leading hospitals, pharmaceutical companies, CROs, and research labs around the world to deliver innovative AI-based solutions for Life Sciences applications.