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JOIN OUR EFFORTS TO

BUILD A UNIVERSAL COMPUTING PARADIGM

THROUGH VENTURE.

For decades, hardware developers have raced against each other to accelerate computing by shrinking transistor size and increasing processor density but they are quickly approaching a fundamental limit. To work around this, an abundance of specialized hardware is being developed to capitalize on parallelism or specialized integrated circuits to accelerate particular functions. Alongside this, completely novel systems (neuromorphic, photonic, quantum) are being developed independently without a way to interoperate with each other and existing architectures.

With the increasing variety of hardware paired with the constantly changing demands of the software, the optimal system to execute becomes a moving target. This is completely incompatible with the current hardware integration process, which requires manual code re-engineering and a tradeoff between performance and portability. This continues to slow the adoption of new hardware leaving software systems lagging years to decades behind the latest hardware developments.

We are developing data-centric hardware as well as the software platform needed to optimise existing codes on dynamically-changing systems. By bringing together established open-source standards with innovations in mathematics, computer science, and engineering, we will define a simplified standard infrastructure for the future development of computation. This requires a deep understanding of existing hardware architectures to best exploit the unique benefits of each system and interface seemingly incompatible technologies.

Working alongside an interdisciplinary team, you will bring your knowledge and development skills to develop the mathematics and software required to develop and deploy these diverse systems.

 

who should apply

You bring broad technical knowledge (see below) at a Doctoral level or Masters with industry experience and are comfortable exploring computing at every level of abstraction. You’re highly collaborative and able to think creatively to solve problems, not constrained by conventional thinking. You should be curious, always asking why and actively enjoy building a network around the problems and opportunities that you go after.

 

We’re looking for a candidate with previous experience in the following:

●  Broad knowledge across various hardware architectures and instruction sets (x86, RISC/RSIC-V, GPU, FPGA, ASIC) at various levels of abstraction

●  Compiler technology (LLVM intermediate representation, compiler front ends, target-independent optimizations, MLIR)

●  Low-level machine learning APIs (Tensorflow, XLA, PyTorch)

●  Previous product development experience would be an advantage, but not required

●  Some mathematics background would be an advantage, but not required

 

 

our offer

Taking a Co-founder role at DSV is a fantastic opportunity to develop concepts for, and launch your own startup. Working with us, you’ll have access to the systems and environment to guide your thinking, and we’ll even pay you a monthly salary to start your own company and support you in building the founding team and developing early data to land your first customers and investors. After a 3-6 month period, we will support you in taking the role of CEO or CTO of the company we design together and spin out with a pre-seed investment from DSV.

Compared to other Entrepreneur in Residence programmes, DSV’s is friendly to individuals with no previous founder experience and comes with a commitment from us to support your company to make a real impact in the market.

No prior idea or IP required.

For decades, hardware developers have raced against each other to accelerate computing by shrinking transistor size and increasing processor density but they are quickly approaching a fundamental limit. To work around this, an abundance of specialized hardware is being developed to capitalize on parallelism or specialized integrated circuits to accelerate particular functions. Alongside this, completely novel systems (neuromorphic, photonic, quantum) are being developed independently without a way to interoperate with each other and existing architectures.

With the increasing variety of hardware paired with the constantly changing demands of the software, the optimal system to execute becomes a moving target. This is completely incompatible with the current hardware integration process, which requires manual code re-engineering and a tradeoff between performance and portability. This continues to slow the adoption of new hardware leaving software systems lagging years to decades behind the latest hardware developments.

We are developing data-centric hardware as well as the software platform needed to optimise existing codes on dynamically-changing systems. By bringing together established open-source standards with innovations in mathematics, computer science, and engineering, we will define a simplified standard infrastructure for the future development of computation. This requires a deep understanding of existing hardware architectures to best exploit the unique benefits of each system and interface seemingly incompatible technologies.

Working alongside an interdisciplinary team, you will bring your knowledge and development skills to develop the mathematics and software required to develop and deploy these diverse systems.

 

who should apply

You bring broad technical knowledge (see below) at a Doctoral level or Masters with industry experience and are comfortable exploring computing at every level of abstraction. You’re highly collaborative and able to think creatively to solve problems, not constrained by conventional thinking. You should be curious, always asking why and actively enjoy building a network around the problems and opportunities that you go after.

 

We’re looking for a candidate with previous experience in the following:

●  Broad knowledge across various hardware architectures and instruction sets (x86, RISC/RSIC-V, GPU, FPGA, ASIC) at various levels of abstraction

●  Compiler technology (LLVM intermediate representation, compiler front ends, target-independent optimizations, MLIR)

●  Low-level machine learning APIs (Tensorflow, XLA, PyTorch)

●  Previous product development experience would be an advantage, but not required

●  Some mathematics background would be an advantage, but not required

 

 

our offer

Taking a Co-founder role at DSV is a fantastic opportunity to develop concepts for, and launch your own startup. Working with us, you’ll have access to the systems and environment to guide your thinking, and we’ll even pay you a monthly salary to start your own company and support you in building the founding team and developing early data to land your first customers and investors. After a 3-6 month period, we will support you in taking the role of CEO or CTO of the company we design together and spin out with a pre-seed investment from DSV.

Compared to other Entrepreneur in Residence programmes, DSV’s is friendly to individuals with no previous founder experience and comes with a commitment from us to support your company to make a real impact in the market.

No prior idea or IP required.

Interviews ongoing, start date asap

Interviews ongoing, start date asap

current founders

At DSV Brock is working on accelerated computing hardware that overcomes the limitations and inefficiencies in conventional computing. This currently spans extremely low-power machine learning accelerators, quantum computing, and cybersecurity to protect these systems. His background and experience spans across photonics, device engineering, cybersecurity, mathematics, and distributed networks.