Employment Type: Full Time.
Start Date: Fall.
Department: Engineering Research & Development.
Salary:
● The base salary range is 120,000 USD - 230,000 USD.
● You will also be eligible for equity and benefits.
We are now looking for a Deep Learning Performance Architect! We are seeking outstanding
Performance Analysis Architects with a background in performance modeling, architecture
simulation, and profiling to help analyze and develop the next generation of architectures that
accelerate AI and high-performance computing applications.
What you'll be doing:
● Develop innovative architectures to extend the state of the art in deep learning
performance and efficiency
● Prototype key deep learning algorithms and applications
● Analyze performance, cost and power trade-offs by developing analytical models,
simulators and test suites
● Understand and analyze the interplay of hardware and software architectures on future
algorithms, programming models and applications
● Actively collaborate with software, product and research teams to guide the direction of
deep learning HW and SW
What we need to see:
● Pursuing a Bachelor’s in Electrical Engineering, or equivalent experience related to
Power / Performance estimation and optimization techniques
● Strong foundation in machine learning and deep learning
● Experience with performance modeling, architecture simulation, profiling, analysis, and
visualizations
● Strong programming skills in Python, C, C++
● Experience with automated CI/CD pipelines, job orchestration, and building continuous
delivery capabilities in a dynamic development environment.
Ways to stand out from the crowd:
● Background with GPU Computing and parallel programming models such as CUDA
● Experience with deep neural network training, inference and optimization in leading
frameworks (e.g. Pytorch, JAX, TensorRT)
● Experience with the architecture of or workload analysis on other DL accelerators
Important: The successful application submission for the above role(s) will be conditional to
your profile evaluation by our Recruitment Specialists using the AI system. We can let you know
better once you submit your resume.