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JOIN OUR EFFORTS TO

design and scale true in-memory computing

BY LAUNCHING SCIENCE COMPANIES.
The current paradigm of in-memory computation is that of simply loading highly accessed parts of a database into RAM for low latency access. The major speed and energy bottle neck in all computing under Von Neumman architectures is in the shuffling of data between the processing elements and the different levels of memory. Even where architectures have been highly optimised such as FPGAs and GPUs.
Until recently it has been infeasible to create materials that allow the computation to happen directly on the stored representation. This is incredibly challenging due to physcial material limitations (principally between cost, latency and retention), the need to align within existing manufacturing capabilities and the siloed nature of cutting edge hardware and the application layer. We have laid the groundwork which suggest that there is potential for speed ups of many orders of magnitude on common computational intensive tasks by progressing all of these elements in parallel. Your mission is to work out how to best align the materials innovation, design, manufacture and software level to bring that technology to life.

 

OUR OFFER
You will join our in-house team of entrepreneurial scientists as a ‘Founding Analyst’ to lead opportunity analysis and venture creation in the in-memory computing opportunity area. Specifically, you will focus on mapping out the constraints and limitations currently leading to a lack of innovation, and build out high performance, multidisciplinary teams to augment your own capabilities. After approximately six to nine months, you will co-found up to three start-ups in the in-memory computation space, taking the role of CEO or CTO at one. 
If you found a company whilst working with us, there’s up to £500k of investment, plus the further opportunity to carry out 6 figure industrial proof of concept work.
No prior idea or IP is required, and we are committed to supporting you to develop businesses that can rapidly leverage opportunities in the fast-growing accelerated computing market.

 

THE IDEAL PROFILE FOR THIS OPPORTUNITY
You bring a mix of technical expertise in a related field (see below) at Master’s level or above and are entrepreneurial at your core, always asking why to get to first principles, highly creative in your solutions and actively enjoy building network, both of peers and more senior, around the problems and opportunities that you go after.
Semiconductor commercialisation experience across at least several parts of the stack:
• Moving from the lab to prototype
• Raising money in semiconductors
• Partnering with fabs
• Market development

 

Specific technical edge in at least one of the following:
Circuit design such as:
• Circuit simulation
• Memory design
• Reconfigurable Electronics
• FPGA / ASIC optimisation
• Analog circuits or heavy neuromorphic inspiration
• Dot-product / matrix multiplication hardware implementation
• Associative processor
• Non-volatile content addressable memory (nv-CAM / nv-TCAM)
• Low power computing

 

Memory materials innovation such as:
• Non-volatile memory design broadly
• ReRAM / RRAM / CBRAM, Crossbar, Phase change memory (PCM)
• Oxide performance optimisation around ON/OFF ratio
• Platinum group materials
• Spin Orbit Torque Magnetic (SOT-MRAM)
• Dot-product / matrix multiplication hardware implementation
• Associative processor
• Non-volatile content addressable memory (nv-CAM / nv-TCAM)

 

The software level such as:
• Building or managing teams within software that take advantage of hardware acceleration, GPU computing and other parallel computing
• Design or management in low level database-in-memory technology

The current paradigm of in-memory computation is that of simply loading highly accessed parts of a database into RAM for low latency access. The major speed and energy bottle neck in all computing under Von Neumman architectures is in the shuffling of data between the processing elements and the different levels of memory. Even where architectures have been highly optimised such as FPGAs and GPUs.

Until recently it has been infeasible to create materials that allow the computation to happen directly on the stored representation. This is incredibly challenging due to physcial material limitations (principally between cost, latency and retention), the need to align within existing manufacturing capabilities and the siloed nature of cutting edge hardware and the application layer. We have laid the groundwork which suggest that there is potential for speed ups of many orders of magnitude on common computational intensive tasks by progressing all of these elements in parallel. Your mission is to work out how to best align the materials innovation, design, manufacture and software level to bring that technology to life.

 

OUR OFFER

You will join our in-house team of entrepreneurial scientists as a ‘Founding Analyst’ to lead opportunity analysis and venture creation in the in-memory computing opportunity area. Specifically, you will focus on mapping out the constraints and limitations currently leading to a lack of innovation, and build out high performance, multidisciplinary teams to augment your own capabilities. After approximately six to nine months, you will co-found up to three start-ups in the in-memory computation space, taking the role of CEO or CTO at one. 

If you found a company whilst working with us, there’s up to £500k of investment, plus the further opportunity to carry out 6 figure industrial proof of concept work.

No prior idea or IP is required, and we are committed to supporting you to develop businesses that can rapidly leverage opportunities in the fast-growing accelerated computing market.

 

THE IDEAL PROFILE FOR THIS OPPORTUNITY

You bring a mix of technical expertise in a related field (see below) at Master’s level or above and are entrepreneurial at your core, always asking why to get to first principles, highly creative in your solutions and actively enjoy building network, both of peers and more senior, around the problems and opportunities that you go after.

Semiconductor commercialisation experience across at least several parts of the stack:

• Moving from the lab to prototype

• Raising money in semiconductors

• Partnering with fabs

• Market development

 

Specific technical edge in at least one of the following:
Circuit design such as:

• Circuit simulation

• Memory design

• Reconfigurable Electronics

• FPGA / ASIC optimisation

• Analog circuits or heavy neuromorphic inspiration

• Dot-product / matrix multiplication hardware implementation

• Associative processor

• Non-volatile content addressable memory (nv-CAM / nv-TCAM)

• Low power computing

 

Memory materials innovation such as:

• Non-volatile memory design broadly

• ReRAM / RRAM / CBRAM, Crossbar, Phase change memory (PCM)

• Oxide performance optimisation around ON/OFF ratio

• Platinum group materials

• Spin Orbit Torque Magnetic (SOT-MRAM)

• Dot-product / matrix multiplication hardware implementation

• Associative processor

• Non-volatile content addressable memory (nv-CAM / nv-TCAM)

 

 

The software level such as:

• Building or managing teams within software that take advantage of hardware acceleration, GPU computing and other parallel computing

• Design or management in low level database-in-memory technology

Interviews ongoing

Interviews ongoing