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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 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 highly skilled and experienced Algorithm Python Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.
Responsibilities
Design and implement compiler passes and optimizations across the full compilation pipeline
Improve output quality: resource utilization, communication cost, and execution latency
Debug and fix correctness issues and regressions in a multi-stage compiler
Develop and maintain algorithms such as graph clustering and graph alignment
Write thorough unit and integration tests and maintain CI health
Participate in design reviews and contribute to technical decisions.

We are looking for a hands-on, senior AWS engineer to own the day-to-day operation and delivery of customer cloud environments. This is an execution-first, individual-contributor role - you will be the one fixing things, building things, and keeping production running. The role includes on-call rotation for production incidents

Key Responsibilities

Handle customer tickets: AWS administration, Linux/Windows servers, networking, storage, and security

Monitor, troubleshoot, and optimize production environments end-to-end

Implement cloud infrastructure projects independently, from design to handover

Write scripts and IaC to automate operational tasks

Participate in on-call rotation for urgent production incidents

Document procedures and runbooks; grow into a technical leadership role over time

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.

We are seeking an experienced and highly skilled Software Engineer to join our Runtime Software group. In this role, you will drive the development of the full software stack and architecture behind our revolutionary coprocessor. You will be challenged to deliver high-performance, system-wide solutions, requiring a deep understanding of complex architectural trade-offs and distributed systems.
As a core team member, you will design and implement infrastructure that enables our unique hardware to accelerate diverse applications at scale. You will collaborate across disciplines - working with hardware engineers, compiler developers, and system architects - to optimize execution in a massive, multi-process, and multi-threaded environment.
Responsibilities
Design and implement next-generation runtime architectures and infrastructures to support evolving product requirements
Develop environments for the acceleration of massively parallel applications, managing complex process and thread lifecycles
Define development scopes and roadmaps to ensure the successful delivery of robust software features
Partner with hardware and compiler teams to bridge the gap between silicon capabilities and software performance.

We are seeking a talented engineering team leader to lead the team responsible for low-level optimization of AI models and kernels for our unique hardware architecture.
Responsibilities
Lead and mentor a team of engineers developing AI libraries and accelerating AI kernels
Collaborate with hardware, compiler, and device software teams to improve performance.
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.
Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

Our team is looking for a skilled professional to join the AI software group. In this role, you will focus on our AI kernel compilers, ensuring our hardware delivers peak optimization for sophisticated and custom AI kernels. You will work extensively with various kernel infrastructures, including Triton and CUDA, while collaborating closely with our AI graph compiler teams.
Responsibilities
Develop our AI kernel compilers and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

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.