(Senior) Epigenetics Computational Biologist
ConceptionFull Time
Senior (5 to 8 years)
Candidates should possess a PhD or MSc in Computational Science, Computer Science, Applied Math, or a related field, or equivalent experience. A minimum of 5 years of experience is required in developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, including GPU acceleration with CUDA. Excellent C/C++ programming and software design skills are essential, along with proven experience leading and completing software development projects. Strong collaboration, communication, and documentation habits are also necessary. Familiarity with CPU and/or GPU hardware architecture, CI/CD systems, project management tools like JIRA, working in globally distributed organizations, advanced debugging/profiling/testing skills, and scripting languages like Python are considered advantageous.
The Senior Software Engineer will develop scalable library software using modern tools and languages for various numerical methods. Responsibilities include performance tuning, optimization, and benchmarking of algorithms on different architectures. The engineer will collaborate with product management and partners to understand requirements and contribute to technical roadmaps. They will also provide technical leadership, guide other engineers, and identify opportunities to improve library performance and abstractions for reduced maintenance costs.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.