דרושים » תוכנה » NPU Senior Software Engineer

we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What you'll be doing:
The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the company solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
As our new Senior Software Engineer, youll be joining the Platform group. This group of highly-experienced and detail-oriented engineers proudly owns the network stack, storage stack, task scheduling infrastructure and more.
As a Senior Software Engineer, youll:
Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

we are looking for a Senior Backend Software Engineer.
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
JR316760

We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs.

This simulation platform enables our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.

What Youll Be Doing:
Develop and maintain simulation components for the physical layer of our high-performance networking chips (e.g., GPUs, switches, NVLink, Ethernet...).
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
Define, implement, and validate simulations of features such as link training, error injection, and transceiver behavior, making the simulation platform a go-to internal platform for development and debugging.
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform. Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems. Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.

This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.

Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
As a Senior Software Engineer, you'll be an integral part of our Platform Group-a hands-on team of seasoned engineers responsible for building and optimizing the critical low-level components that power our infrastructure. This includes the networking stack, storage systems, task scheduling framework, and other foundational systems.
As a Senior Software Engineer, youll:
Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

Your Career We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team. The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors. As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments. To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement. Your Impact Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.

we are architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by our company sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
As a Senior Software Engineer, youll:
You will be responsible for building the "brain" of our companys main product, which is a distributed file system -the layer that manages orchestration, metadata, cluster membership, and implements complex logic required to manage hundreds of thousands of nodes, for cluster scaling, automated failover, zero-downtime rolling upgrades and "self-healing" to detect and remediate hardware failures or network partitions.
Design, implement, unit test, and maintain services that coordinate and the cluster
Optimize Performance: Work with complex data structures like spanning trees or LSM-Trees, concurrency control mechanisms (MVCC) to improve speed and efficiency.
Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the company Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.