דרושים » הנדסה » Software Engineer

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 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 a talented Code Generation and Optimization Expert. We are looking for a self-independent engineer to join the team that builds the software infrastructure for accelerating the system in large scale compute environments like data centers and HPC using new CPU core technology. Working on the cutting edge and future ready systems. We work in a development culture that is diverse, flexible and challenging. For persons looking to make an impact and influence the future of computing with personal growth options.

The team is developing core components in the automated optimization process that adapts our unique hardware architecture to run any HPC & AI applications, with little to no code modifications required. By using iterative rounds of telemetry and optimization, our compiler is able to intelligently adapt our accelerator into a workload-specific ASIC, at runtime.

We are seeking a talented Code Generation and Optimization Expert to join our bleeding-edge 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 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:
Network device drivers.
Hardware-tailored packet-processing suite.
User-space libraries and benchmarks for low-latency communication.
Customer-facing APIs: both complying with standards and forging our own path.
Find the fastest ways to process incoming network packets on NextSilicons hardware platform.
Analyze customer applications and explore creative ways to accelerate them in hardware or software.
Work closely with the hardware teams to offload key features into the next generation of products.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on NextSilicons unique hardware architecture-unlocking a new level of performance.

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.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

Responsibilities
Develop our AI graph compiler and related components in the SW stack.
Drive the performance of AI models running on our unique architecture.

We are seeking an exceptional Software Team Lead to guide the development of our runtime software stack. This role requires a rare combination of deep technical expertise, hands-on coding ability, and proven leadership experience. You will own the architecture, implementation, and system-level integration of drivers, runtime components, and low-level system software, driving technical excellence and performance across the stack. The ideal candidate thrives under pressure, takes full ownership of outcomes, and sets the bar for quality and innovation in the team.

Responsibilities
Lead and mentor a team of runtime and embedded software engineers, setting the standard for technical excellence.
Define and drive the architecture, roadmap, and performance expectations for the runtime stack, ensuring scalable, robust, and high-performance solutions.
Oversee cross-team software projects from concept through production, while remaining hands-on in coding, debugging, and system bring-up for critical components.
Establish rigorous standards for testing, CI/CD, and software lifecycle processes, ensuring maintainable and reliable delivery.
Conduct architecture and performance reviews, providing decisive guidance in ambiguous or high-pressure situations.
Collaborate deeply with architecture, compiler, hardware, and platform teams to deliver cohesive, system-level solutions.
Provide technical leadership to resolve conflicts, make tough trade-offs, and uphold engineering excellence.
Recruit, mentor, and retain top-tier engineering talent.

We are seeking an outstanding Senior Software Engineer to join a newly formed core team building the management platform of a clustered, highly distributed system. This role involves designing and developing complex, distributed infrastructure, designing service architecture, building observability, monitoring and configuration capabilities, and ensuring long-term system stability in large critical enterprise systems.

This is a unique opportunity to help build a production-grade infrastructure component from the ground up, working closely with experienced engineers in a collaborative and supportive environment.

Responsibilities
Serve as a technical leader, driving technology adoption and direction within the team.
Focus on performance optimization and improvement initiatives.
Develop high-quality, scalable code, primarily using C/C++.
Own the full software development lifecycle, including design, development, testing, and integration.
Design and implement core components of the platform.

We are looking for a talented and experienced engineer to participate in designing the next era of computer architecture. In this position you will take part in designing the critical parts of our future chips. You will transform architectural requirements to micro-architectural specs, implement key blocks in RTL, and participate in post-silicon activities.

Responsibilities
Define and drive the design of advanced blocks from micro-architecture phase to netlist.
Support timing and constraints definitions work closely with the BE team on timing and physical implementation efforts.
Leading processes relating to power optimization.
Technology expert, building a knowledge base for the group.
Work with various teams to drive execution (SW, Architecture, verification, BE, etc).
Devise execution indicators and monitor and report execution progress to enable prioritization and clear decision making.

We are building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Agentic code analysis engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.

You are invited to meet the R&D team here!

In this role, you will:

Research and develop next-gen code analysis and remediation algorithms.

Work hands-on with GenAI models and integrate them into detection workflows.

Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis).

Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.

Responsibilities:

Design and implement machine learning and algorithmic solutions for code analysis.

Build GenAI-powered developer tools for static and semantic code analysis.

Enhance our existing detection infrastructure with intelligent, context-aware insights.

Translate cutting-edge research into practical, scalable product features.