SW Engineer SDK/Cloud

Flex-Logix Inference Software team is looking for software engineers to be a part of its excellent team responsible for the Infer-X Model Compiler. The compiler generates Verilog Code for the Flex-Logix eFPGA platform which controls the nnMAX/TPU computation blocks and memory connections. This is an exceptional opportunity to develop the technology that breathes life into AI inferencing solutions targeting systems in medical, industrial, automotive and other Enterprise edge applications.

In this role, you will be responsible for developing highly optimized libraries fundamental to the operation of the AI accelerator.  You’ll be working with multiple software teams, deep learning scientists, and hardware designers, to implement the features needed to accelerate the next generation of machine learning algorithms.

Flex-Logix is a rapidly expanding, high growth company and is seeking a developer for our inference SDK and cloud deployment. The ideal candidate is passionate about creating usable customer interfaces and developing back end cloud infrastructure that scales. There are abundant opportunities to learn about AI within this role because AI is in our company’s DNA.

This is an exciting time to join the team because we are just at the beginning of our journey into the cloud. This role will work closely with the sales and marketing team to address customer needs. If you’re a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work you need to join the team at Flex Logix!

Responsibilities

• Developing the SDK APIs to the compiler in Python
• Launching the SDK application on the cloud
• Developing and packaging a suite of customer tools
• Developing a cloud back end to the compiler which will manage multiple
• customers.

Requirements

• 2+ years of experience in cloud and web development
• Fluent in Python
• Has developed cloud applications

Preferred Experience

• Experience with AI
• Experience writing C++ applications
• Experience with containers
• Experience deploying a SAAS solution to the cloud
• Experience with AWS
• Web development