NVIDIA
Why consider this job opportunity:
- Base salary range of $184,000 - $287,500 for Level 4 and $224,000 - $356,500 for Level 5
- Eligibility for equity and comprehensive benefits
- Opportunity for career advancement and growth within a leading technology firm
- Work on cutting‑edge projects in the fields of AI, data science, and HPC
- Collaborative and dynamic team environment
- Chance to make a significant impact in GPU‑accelerated computing solutions
What to Expect (Job Responsibilities):
- Collaborate with product management and partners to understand use cases and contribute to technical roadmaps
- Architect, prioritise, and develop accelerated and distributed implementations of numerical algorithms
- Design future‑proof Python APIs for accelerated numerical/scientific computing libraries
- Analyse and enhance the performance of APIs on various CPU and GPU architectures
- Write effective, maintainable, and well‑tested code for production use
What is Required (Qualifications):
- BS, MS, or PhD degree in Computer Science, Applied Math, Electrical Engineering, or a related field (or equivalent experience)
- 6+ years of relevant industry experience or equivalent academic experience after BS
- Proficient in Python, C++, and CUDA programming
- Strong understanding of fundamental numerical methods and dense/sparse array computing
- Deep familiarity with Python numerical computing libraries, including accelerated implementations
How to Stand Out (Preferred Qualifications):
- Experience using or contributing to Python libraries for data science, machine learning, or deep learning
- Experience with low‑level GPU performance optimisation
- Experience building, debugging, profiling, and optimising distributed applications on super‑computers or the cloud
- Background with tasking or asynchronous runtimes
- Knowledge of compiler optimisation techniques and domain‑specific language design
#SoftwareDevelopment #PythonDevelopment #GPUComputing #DataScience #CareerOpportunity
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