Compiler Software Engineer (machine learning)

Introduction
Edgecortix Inc. is seeking strong software engineers to work as part of our deep learning compiler team. If you have a strong desire to build next generation AI chips and systems, join us and let's reshape the future of AI at the edge.

About Edgecortix
At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high efficiency silicon on chip design. Originating from multiple years of research, our unique AI hardware & software co-exploration engine and Dynamic Neural Accelerator ™ AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bring the power of AI and machine learning to all kinds of devices.

The Team
As a team, we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy-efficiency for AI inference at the edge.

Your Role and Responsibilities

In this role, working closely with our hardware and ML engineers, you will extend our compiler and software tool chain for deploying machine learning models with high performance and flexibly on our proprietary AI hardware accelerator.

Minimum Qualifications

• Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering
• 5+ years of Software Engineering experience.
• Extensive experience in writing production quality C++ code
• Experience with programming in Python
• Hands-on experience with code generation implementation/optimization leveraging compiler frameworks such as LLVM, or machine learning compilers such as TVM, Glow, XLA or TensorFlow lite.

Preferred Qualifications

• Strong object oriented design and development skills.
• Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch
• Experience with TDD development solutions like GoogleTest etc.
• Experience with Source Code and Configuration management tools, such as Git
• Strong debugging and analysis skills, for root causing complex issues
• Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs
• Familiarity with any of the deep learning compiler frameworks TVM, Glow or XLA
• Experience in solving large-scale combinatorial optimization problems or scheduling algorithms
• Experience developing embedded software, preferably on-device ML
• Previous experience working in an Agile environment, and collaborating with multidisciplinary teams
  

What’s in it for you?

Make a difference: you will have the opportunity to join a well-funded AI hardware startup that is distrusting the AI software and hardware co-design space. Be an integral part of its growth and momentum.

Benefits and Perks

· Highly competitive salary and stock options

· Flex work time and ability to work fully remotely

· Support for obtaining visa and relocation support (in case of non-remote)