דרושים » הנדסה » Agentic Code Analysis Engineer

We are seeking a talented Code Generation and Optimization Expert to join our bleeding-edge CodeGen team in Israel. In this high-visibility, hands-on role, you will play a pivotal part in building our next-generation runtime compiler.
Responsibilities
Design and maintain the distributed and heterogeneous executable that is generated by our compiler stack.
Using the MLIR framework, transform high level compiler outputs into hardware-specific binary images, memory mappings, execution parameters, resource allocation, region grouping, and cross-domain coordination for distributed systems.
Design and maintain the API layer (libRT.a) connecting compiler-generated code with runtime services, ensuring seamless integration across different execution domains.
Collaborate closely with hardware, architecture, verification and other compiler teams to align software with hardware requirements and behavior.

We are seeking a top notch software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.
As part of the memory system team, you will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications in the Maverick accelerator runtime environment.
You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.
Responsibilities
Work on design and implementation of new and enhanced features of the memory system for the Maverick accelerator
Develop a high performance, low latency distributed unified virtual memory management system
Work on system software support for the next generation Maverick system
Define feature development scope and plan for successful product delivery.
Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders.

We are looking for an experienced software engineer with a performance oriented view of coding and knowledge in parallel frameworks. Someone who likes to have an end-to-end understanding of HW-SW, and make an impact on the world of accelerated computing to join our SDK group.
Responsibilities
Play a key role in defining the architecture for the parallel compute framework API, and how it will interact with other common parallel compute frameworks. Integrate parallel frameworks using our SDK.
Ownership and accountability for accelerated solutions of common math libraries using our SDK. Owns features end-to-end from requirements to testing.
Play a key role in defining and implementing our SDKs and APIs.
Implement accelerated solutions and innovate by understanding our full software stack end-to-end. Identify performance bottlenecks and resolve them.
Work in close collaboration with cross-functional and multidisciplinary teams, including software, hardware, system, research, and apps engineering teams.

We are looking for talented networking software engineers to develop an innovative new communication stack. Were starting from the ground up, rethinking existing protocols and network accelerators while designing both hardware and software for a new low-latency compute platform. We care about results and insist on doing things right. Our engineers are not siloed into narrow areas; our ideas are cross-fertilized among teams. Our technical backgrounds are diverse and we don't have preconceived approaches or cookbooks, so come and invent! The hardware teams are just a few steps away and really like hearing our ideas. This is a unique opportunity to develop creative solutions from concept to implementation.
Responsibilities
Take part in developing a networking stack from the ground up:
Analyze customer applications and explore creative ways to accelerate them in hardware or software
Find the best ways to process packets on NextSilicons hardware platform
Participate in architecture of future NextSilicon NIC generations
Develop user-space libraries and benchmarks for low-latency communication
Work closely with the hardware teams to offload key features into the next generation of products.