
Myrtle.ai

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About
Myrtle.ai optimizes real-time machine learning inference workloads for multiple applications in cloud or enterprise data centers and in edge applications. Their products, expertise and IP ensure all available compute resources are optimized to achieve the lowest deterministic latency and superior throughput, cost and energy. They provide solutions for Finance (VOLLO), Speech (CAIMAN-ASR), and Recommendation Systems (SEAL).
Platform
Features
• bespoke solutions
• recommendation systems with increased compute density
• speech solutions with cost savings for asr
• finance solutions with low latency
• optimizes machine learning inference workloads
Job Opportunities
Senior Digital Design Engineer
Myrtle.ai optimizes real-time machine learning inference workloads for finance, speech, and recommendation systems, delivering low latency and superior throughput.
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
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Senior Software Developer
Myrtle.ai optimizes real-time machine learning inference workloads for finance, speech, and recommendation systems, delivering low latency and superior throughput.
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
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Senior System Verilog Verification Engineer
Myrtle.ai optimizes real-time machine learning inference workloads for finance, speech, and recommendation systems, delivering low latency and superior throughput.
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
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