דרושים » תוכנה » NPU Senior Software Engineer

We are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.
Key Responsibilities
Define and execute regression, functional, performance, and scale test suites for network infrastructure
Investigate complex performance and scaling bottlenecks in AI datacenters
Design and build customer-scale testbeds emulating diverse network architectures
Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
Support POC efforts, innovation initiatives, and customer use-case reproductions
Generate comprehensive test reports highlighting results, insights, and recommendations
Validate network protocols and hardware-software interactions in AI workloads.

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 versatile Senior Software Engineer for the DPU Platform team. This position offers the opportunity to have real impact in a multifaceted, technology-focused company affecting product lines that empower the most advanced data centers in the world. Using your deep knowledge of embedded platforms, operating systems, and software distribution technologies, you will work with a world-wide development team to solve the unique challenges of delivering the world's most powerful platforms.

What you'll be doing:

Develop system software components including processor firmware and bootloaders, kernel drivers/modules, and user space applications and libraries

Collaborating with hardware and product design teams to develop software for sophisticated SOC platform designs.

Assisting world-wide teams with various customers' and internal DPU projects.

Tackle complex system-level optimization and resource utilization challenges.

Participate across all levels of product development lifecycle that values high-standards for clear requirements, software quality and performance.

Collaborate within a worldwide matrixed software development team, and have broad impact within our highly-dynamic and technology-focused company.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

Senior software engineer Computer Vision We are seeking a highly motivated and experienced Senior software engineer to lead the development of an advanced Vision software stack for cutting-edge unmanned aerial systems.
In this role, you will own the design, integration, and optimization of key capabilities such as Visual-Inertial Odometry, Tracking, ATR, Motion Detection, image preprocessing and stabilization, as well as data -link and video-streaming solutions. You will work closely with Infrastructure, Mission Control, Systems Engineering, Flight Operations, and Product teams to deliver high-performance, reliable, Real-Time autonomy software for operational environments.
Responsibilities:
Contribute to the architecture, design, and implementation of Vision software modules. Lead the development of complex features from concept to production. Collaborate with mission control, systems, infra, and flight teams to ensure robust system integration.
Translate cutting-edge research and PoCs into production-grade solutions. Mentor and support junior engineers.
Ensure high performance, robustness, and Real-Time operation under constrained conditions.

As a Senior Full Stack Engineer within the Platform Services group, you will be a key member of the Frontend core team, which forms the backbone of our platform's frontend development. We are seeking a highly skilled individual with extensive full-stack experience. This role is crucial for building frontend infrastructure, libraries, and tools for our company's entire frontend community, demanding strong leadership, monitoring skills, and integrity, while leveraging cutting-edge web and cloud technologies.
As a Senior Full Stack Engineer at our company you will...
Lead the development of foundational frontend components and services for the Platform Services group, ensuring other teams have robust and reliable building blocks
Write high-quality, testable, and efficient code, using TypeScript and Vue
Develop and maintain production-level Node.js services to support platform-wide features
Provide mentorship and technical feedback to other engineers on the team, fostering a culture of learning and growth
Initiate and promote innovative ideas for the continuous improvement of our frontend and Node.js infrastructure and tool functionality
Integrate cutting-edge AI tools and methodologies into development and research workflows to boost efficiency and foster innovation. Stay current with the latest advancements in AI.

Are you a software engineer who thrives on designing and building scalable, high-quality services and infrastructure? Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company ML.
As a Senior Software Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc. You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Senior Software Engineer at our company ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

Required Senior Software Engineer - CWP (Cortex Cloud)
Your Career
We are committed to building a safer digital future. As a Senior Software Engineer in Cortex Cloud, you will work at the forefront of cybersecurity innovation, building cloud-native solutions that protect some of the largest organizations in the world. This is a unique opportunity to be part of a team building a new product from the ground up, shaping the architecture, technology stack, and engineering practices from day one.
Youll not only write great code youll influence product strategy, design scalable systems, and help drive key decisions that will shape the future of cloud workload protection.
A key part of this role is championing and leveraging the latest generative AI tools and assistants (such as Gemini) in your day-to-day engineering workflow. We expect you to utilize these advanced tools to accelerate the development lifecyclefrom ideation and coding to root-cause analysis, testing, and system optimization.
Your Impact
Play a key role in building cloud-native security features that protect real-world workloads from malware, secrets exposure, and other threats
Lead the development of major features from product discussions and technical design to implementation and testing
Design and build scalable backend services using Golang and modern cloud-native technologies
Research and integrate new technologies to improve detection, performance, and platform capabilities
Help define best practices and drive engineering excellence across the team.

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.