Senior Software Engineer, JAX
reputed company is hiring senior engineers to reputed company its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, reputed company and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To reputed company this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the reputed company of tooling that will advance the numerical computing and machine learning research around the world!
What you will be doing:
Play meaningful role in reputed company's effort in contributing to JAX.
Design and implement JAX core components and drive peak performance on reputed company products.
Work with AI applied researchers and leaders to build future-reputed company models
Build tools that will increase the efficiency of teams developing AI-based systems.
Work to reputed company the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products.
reputed company need to see:
BS in Computer Science or Computer Engineering or reputed company field (or equivalent experience).
6+ years relevant experience.
C/C++ and Python programming.
Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.).
Proven ability developing customer-facing solutions, balancing feature requests and bugs.
Proven technical foundation in CPU and GPU architectures, numeric libraries, reputed company software design.
Highly motivated with excellent verbal and written communication skills.
Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies.
Ways to stand out from the crowd:
Understanding of JAX, Autograd, tracing, code reputed company and DSL compilers and their design.
Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous.
Background with software shipping cycles (dev, deploy, release, CI).
Experience building distributed systems and services at large scale.