What you will be doing -
- As a member of our applications team, you will craft solutions to extend the state of the art in deep learning efficiency and performance.
- Prototype key deep learning and data analytics algorithms and applications.
- Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.
- Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications.
- Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.
Skills:
- You have a master's degree or PhD in Computer Science, Electrical Engineering or Computer Engineering.
- A strong foundation in machine learning and deep learning fundamentals to compliment your expertise in computer architecture.
- Fluency in programming languages such as Python, C, C++.
- Experience and familiarity with GPU computing and parallel programming models.
- You have firsthand work experience with analytical performance modeling, profiling, and analysis.
Didn’t find the job appropriate? Report this Job