Making AI accessible to all by empowering real-world AI applications
A New Approach to AI
As artificial intelligence becomes part of the fabric of daily life, deploying AI at scale is one of the biggest technical challenges of the computing industry. NeuReality’s purpose-built AI computing system architecture is designed specifically for the increasing complexity and scale of AI inference applications, enabling the scale of real-life AI applications.
This AI-optimized system creates a multiplier effect, lowering TCO by cutting capital costs, reducing energy consumption and shrinking the data center footprint. NeuReality’s architecture provides full support of available AI frameworks, providing high levels of flexibility to deploy seamlessly and adapt to any multi-tenant cloud environment or networking protocol.
The solution also reduces the dependency on CPUs, NICs and PCI-switches and moves simple but critical data path functions from software to hardware. The applications of this revolutionary infrastructure include a new server class, cloud-aware virtualized SDK, AI-Server-on-a-Chip, and a disaggregated approach that enables ultra-scalability.
Moshe Tanach
Founder & CEO
Tzvika Shmueli
Co-Founder & VP Operation
Yossi Kasus
Co-Founder & VP VLSI
Lior Khermosh
CTO
Yariv Avidor, PhD
Head of Software
Paul Rietze
VP Business Development & Sales
Gonzalo Martinez De Azagara
Board Member
Eli Nir
Board Member
Naveen Rao, PhD
Board Member
Ezra Gardner
Board Member
CJ Bruno
Advisory Board
We make AI accessible to all by delivering revolutionary AI-optimized infrastructure to make the world a safer, cleaner, and smarter place for everyone.
NeuReality is a semiconductor company creating the next generation of AI-Centric computing system architecture, designed specifically for the growing complexity and scale of real-life AI applications. NeuReality’s innovation allow customers to easily scale their AI usage while significantly cutting costs, lowering energy consumption and shrinking the data center footprint.
NeuReality is a young company with the vision to make AI accessible to all innovators by empowering their efforts to cure diseases, improve public safety and bring innovative AI-based ideas to fruition.
Come join us to make the world safer, cleaner, and smarter using AI technology.
VLSI design engineer with vast experience in complex SoC design and chip development flow.
Requirements:
– Experience with architecture and micro-architecture definition, RTL coding, pre-silicon verification, synthesis and timing closure.
– Skilled with Verilog, System verilog, block level synthesis, lint checking, integration, DFT, design for power, etc.
– Experience with NoC/Interconnect design and integration (Coherent/non-coherenct fabric), DMAs, bus architecture, SoC based datapath and control flows, etc.
Advantage if also experienced with
– Leading VLSI teams and projects
– Verification experience and knowledge with SV/UVM
– CPU subsystem & Multi-core designs experience
– Experience with Synthesis and STA analysis
VLSI verification engineer with vast experience in unit, cluster and fullchip verification.
Requirements:
– In-depth knowledge of verification flows and process.
– Experience in verification of complex SoC/designs – including CPU subsystem, AXI agents, DMA, DDR, PCI
– Experience in leading chip verification from block level to full chip
– Experience in verification with UVM / System Verilog
– Advantage to experience with advanced verification methods such as formal verification, post processing verification and more.
We are looking for Student to join the VLSI group, taking part on the multiple roles of chip design and development.
The job includes tasks of micro-architecture, design and verification.
Requirements:
Students studying towards a B.Sc./ M.Sc. degree in electrical engineering/computer engineering from a leading university.
We are looking for software developers to join our AI team. She/He shall have hands-on experience with Python, C++ or C
coding with good knowledge in AI frameworks such as TensorFlow or PyTorch with a good ability to connect and cooperate
in a teamwork environment.
Responsibility:
Research, development and optimizations of system level AI use cases (AI-pipelines and Inference) on
various AI frameworks and target hardware.
Requirements:
Bachelor’s degree in CS/EE. Creativity, agility and open mindedness with a good ability to connect and
cooperate in a teamwork environment. Hands-on experience with Python, C++ or C, TensorFlow or PyTorch. Experience
with target HW such as CPU, GPU or ASIC is an advantage.
We are looking for an MSc./PhD. Student (CS/EE) with software background to join our AI team. She/He shall have hands-on experience with Python, C++ or C coding with good knowledge in AI frameworks such as TensorFlow or PyTorch with a good ability to connect and cooperate
in a teamwork environment.
Responsibility:
Research and development of benchmarks, and SDK/tools for deep-learning (DL) inference.
Requirements:
– Hands-on experience with Python and leading DL Python packages of TensorFlow, PyTorch
– Experience with deep-learning inference on different HW (CPU, GPU, and ASIC)
– Experience in software development with C/C++
We are looking for software developers to join our Cloud team. She/He shall have hands-on experience with Python, C++ or C
coding with good knowledge in distributed systems such as VMware, Kubernetes, Dockers and client-server software with a good ability to connect and cooperate in a teamwork environment.
Responsibility:
Definition, implementation and optimization of distributed system/software clusters with Kubernetes infrastructure.
Requirements:
Bachelor’s degree in CS/EE. Creativity, agility and open mindedness with a good ability to connect and
cooperate in a teamwork environment. Hands-on experience with Python, C/C++, Linux. Good understanding of networking, virtualization and containerzation is and advantage. Hands-on experience with Kubernetes and plugins for compute or storage devices is an advantage.
Please fill in the form below and we’ll be happy to be in touch.
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