Myrtle.ai

Education Requirements:

• Masters degree in Engineering, Mathematics or other Scientific Discipline

Experience Requirements:

• At least 5 years experience generating clear, well-documented, and well-tested SystemVerilog, Verilog or VHDL code

• Experience of bringing up full FPGA designs and debugging on hardware

• Experience optimising RTL designs to achieve timing closure

Other Requirements:

• Worked with FPGA EDA tools such as Quartus or Vivado

• Worked with software languages such as C, C++, Python

• Familiarity with Linux development environments, version control and CI systems

• Good verbal and written communication skills

• Familiarity with neural network architectures

• Interest in Functional Programming Languages

Responsibilities:

• Writing and testing IP components in SystemVerilog for FPGA

• Building full applications for FPGA using our IP library

• Integrating with third party IP for external memory PCIe subsystems

• Extending IP verification code and integrating into automated test environments

• Working with software interface routines to support FPGA integration into the software stacks Learning about a range of Machine Learning inference optimization techniques Providing technical support for customer engagements

Experience Requirements:

• At least 5 years generating clear, well-documented, and well-tested code

• Built large C++ or Rust codebases

• Experience working on high performance or real-time applications

• Worked in a multi processor – multi threaded environment.

• Worked with cloud deployed applications

Other Requirements:

• Familiarity with Linux driver-level / kernel-level programming

• Experience of coaching and developing others

Responsibilities:

• Shipping Rust applications for real time deployment of machine learning powered services

• Optimising code for the latest larger server, multicore CPUs

• Creating code to handle high throughput, timing critical services in local and cloud based data centers

• Releasing customer and open source application repositories

• Working with our ML team and ML frameworks for inference optimization Working with our acceleration team to implement fully optimized applications Specifying customer and internal APIs Developing best practice ways of working and test infrastructure

Education Requirements:

• A degree in Engineering, Computer Science or other Technical discipline

Experience Requirements:

• Experience simulating and verifying large RTL designs

• At least 5 years generating clear, well-documented, and maintainable SystemVerilog code

Other Requirements:

• Experience with C/C++ or other imperative coding language

• Good verbal and written communication skills

• Experience working in Linux based development environments

• An interest in learning about AI Inference compute architectures

• Interest in Functional Programming Languages

Responsibilities:

• Designing SystemVerilog based verification environments to support a range of IP products

• Optimizing verification code to enable fast simulation support for software integration

• Communicating the verification environment design and supporting others to use, add and extend testing during IP development

• Learning about AI inference compute architectures and mathematical techniques

• Working alongside our ML, Software and FPGA developers