לוח משרות דרושים

R&D Mechanical Mechanisms Engineer We are looking for a passionate and dynamic mechanical engineer, with a hands-on approach, to join our R&D team. The role involves the development and testing of new and existing robotics and kinematics.
Key responsibilities:
Design and develop core products with the ability to create fast iteration, and rapid prototyping and lead to mass production
Lead the product development life cycle from concept to feasibility, risk analysis, prototyping, design, implementation and validation of components.
TEST prototypes and develop agile testing systems methodologies to ensure the highest standards of quality.
Manage supplier relationships and collaborate with internal departments
Write and review R&D documentation including requirements, TEST protocols, analysis of TEST results and report generation for continuous learning and improvements.
Lead engineering changes and continuously improve our product designs.

CodeValue, founded in 2010, is a dynamic software development services company that delivers supreme architectural and technical expertise. Our mission is to provide in-depth consultancy, integrate product and design research into our development process, offer managed software and cloud solutions, and provide customized training programs to bridge knowledge gaps. We are empowering our employees with a comprehensive range of professional courses and training programs. From Cloud Computing (Azure, AWS) to Modern Full stack Web Development, Microservices, Software Architecture, and DevOps, As a developer at CodeValue, you’ll be part of a diverse community of technology enthusiasts. Our work is dynamic and ever-changing, as we collaborate with various clients and technologies. You’ll have the opportunity to learn and grow, staying on the cutting edge of the latest technologies. We believe in continuous learning and provide training on the latest tools and methodologies. Position Overview: Development Engineer with at least 3 years of relevant experience in Embedded software development , including experience with various operating systems – Linux/VxWorks/FreeRTOS Experience in software development for multi-interface systems (including hardware interfaces – operating serial interfaces, interfacing with cards, BSP, etc.), Object-Oriented Programming (OOP) , and working in a C/C++ environment. Responsibilities include:
* Requirements analysis
* Design
* Writing system documents
* Coding
* Unit testing DevOps
* Integrations with firmware, algorithms, and hardware teams

We are seeking a System Architect to join our team and play a key role in shaping the architecture of NeuReality's AI inference appliance.

As a System Architect, you will be integral in driving the company's architectural roadmap, working closely with the product team, CTO, and development teams. Together, youll analyze new market demands and define the product architecture for our Server-on-Chip system, which caters to a wide range of AI verticals.

Responsibilities:
Collaborate closely with the product team and CTO to assess new requirements and define the companys architectural roadmap and Plan of Record (POR).
Design system flows and deployment models for our AI inference appliance in advanced cloud environments.
Establish architecture guidelines, requirements, and the division of labor between software toolchain components, firmware, and hardware elements of the SoC.
Lead performance estimations, measurements, and optimizations, as well as system-level integration efforts.
Engage directly with end customers to shape use cases and system solutions, including demos and Proofs of Concept (PoCs).

We are looking for a Senior Verification Engineer to be a significant part in developing a complex and innovative SoC chip in a start-up company.

Taking full ownership of entire domain, defining the verification strategy, writing, and executing verification plan in system Verilog UVM.

VLSI group is responsible for the development of our next generation SoC for AI Compute. The development starts from product definition through architecture, design, verification and up to implementation.

The complex SoC is a high-performance device running AI compute for vision and audio processing, with technologies from multi-disciplines.