Careers

About the role

Continuous Integration (CI) is the foundation of how we safely and rapidly deliver software. It is the software engineering practice of regularly merging each engineer’s work into a central repository with the aid of comprehensive automated testing. In this role, you will take ownership of our CI system, educate teams on its use, and make it as seamless as possible. With an eye for design and practical tooling, you will work on software tailored to assist the production of AI solutions in a unique FPGA set-up.

At myrtle.ai we benefit from the wide range of specialised backgrounds our teams have across machine learning, software, and FPGA engineering. You will learn about each area to ensure your CI solutions fit their needs.

For this role there are only two essential prerequisites: you must have excellent verbal and written communication skills, and you must have some programming experience (in any language).

What we do

Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on reducing the power consumption of the world’s data centers, we strive to use our expertise to transform the world today by making tomorrow’s AI inference workloads run with unsurpassed efficiency. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.

Culture

We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.

We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.

Myrtle is an equal opportunity employer. We value diversity at our company and are committed to creating an inclusive environment for all employees, providing equal opportunities to all persons without discrimination. We recognize the excellent benefits in having a diverse workforce from different backgrounds and employ solely on ability.

How to Apply

Email your CV to careers@myrtle.ai

About the Role

As a Senior Digital Design Engineer you will be working to implement high performance AI inference solutions on FPGA. You will contribute to our IP library in SystemVerilog and build out complete FPGA design solutions for customers. You will work as part of our diverse team of developers and researchers, on IP that is core to our inference products. You will use your experience to deliver highly performant, well tested and extensible code for some of the most widely deployed AI in modern data centers. You will work closely with our software and machine learning engineers, integrating against Myrtle’s compiler/runtime/driver stack, to build high-reliability, low-latency, and high-throughput inference applications.

You will work with the latest AI capable FPGAs from multiple FPGA vendors to develop RTL in SystemVerilog. You will generate maintainable and parameterizable IP components, to enable reuse across multiple FPGAs and applications. You will package IP into full solution implementations, achieve timing closure through floorplanning and test solutions on the board. You will make low level software interface code changes to support integration with our software stacks. You will work in a Linux development environment.

You will help to define the ways of working in the FPGA team, including coding standards and test. You will help the team to plan activities using Agile scrum methodology.

What we do

Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on reducing the power consumption of the world’s data centers, we strive to use our expertise to transform the world today by making tomorrow’s AI inference workloads run with unsurpassed efficiency. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.

Culture

We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.
We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.
Myrtle is an equal opportunity employer. We value diversity at our company and are committed to creating an inclusive environment for all employees, providing equal opportunities to all persons without discrimination. We recognize the excellent benefits in having a diverse workforce from different backgrounds and employ solely on ability.

How to Apply

Email your CV to careers@myrtle.ai

About the Role

As a [Senior] Software Developer you will be designing and developing the software systems that enable us to run machine learning (ML) inference workloads at state of the art latencies and efficiency on Myrtle’s FPGA-based hardware accelerators. You will be working throughout the stack to define the ways we program AI accelerators, from co-designing the instruction sets together with the hardware engineering team, to developing the compilers and application APIs to interface the accelerator with ML models and frameworks.

A keen eye for design and a strong understanding of systems programming is desirable for this role, as you will be building up the programming models to get the best performance out of the accelerator and host CPU.

Our software is written in Rust for its fast performance and tight control over latency in performance critical sections, as well as its type system guarantees and mature tooling.

What we do

Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on reducing the power consumption of the world’s data centers, we strive to use our expertise to transform the world today by making tomorrow’s AI inference workloads run with unsurpassed efficiency. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.

Culture

We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.
We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.
Myrtle is an equal opportunity employer. We value diversity at our company and are committed to creating an inclusive environment for all employees, providing equal opportunities to all persons without discrimination. We recognize the excellent benefits in having a diverse workforce from different backgrounds and employ solely on ability.

How to Apply

Email your CV to careers@myrtle.ai