דרושים » תוכנה » Senior Software Engineer - CTO Office

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best user experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their AI workloads. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.
The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing 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 collaborators to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go
Conducting code and design reviews to uphold high-quality standards and mentor team members.

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 looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities:
Develop and maintain robust, scalable, and secure Java-based software solutions.
Collaborate with product managers, architects, and other engineers to design and implement new features.
Build and optimize data processing pipelines for high-volume analytics applications.
Ensure software quality through code reviews, unit testing, and integration testing.
Participate in architectural decisions, contributing to the design of cloud-based systems.
Monitor and optimize system performance to meet scalability and reliability goals.
Troubleshoot, debug and resolve issues in development, staging, and production environments.

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a team of extraordinary individuals, we are looking for a highly skilled Senior Software Engineer to join the team and help shape the future of AI technology. The role of a Senior Software Engineer in the Run:ai group is to design and develop scalable, high-performance systems that support the next generation of AI workloads and infrastructure. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing 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 stakeholders to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.
Conducting code and design reviews to uphold high-quality standards and mentor team members.

We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services. The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users. Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization.
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.

we are spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven Software Developer for the design and development of our infrastructure for a complex networking simulation as a service. In this role, you will be responsible for developing and optimizing our network simulation software, and to enhance its performance and quality. You will work on integrating this infrastructure with cloud computation services for various use cases and ensure the simulation is available as a service for internal and external customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.
What you'll be doing:
Enhance simulation runtime and memory consumption through innovative optimization techniques.
Improve the quality of the simulation as a software product, ensuring robustness and reliability.
Expends the simulation versatility to accommodate new various and complex user use cases and bleeding-edge requirements.
Design and expose the simulation as a service to facilitate easier access for different stakeholders.
Integrate a new simulation management system, making simulated experiments data accessible to all users.
Design and develop a CI/CD infrastructure for our complex networking simulation tool, ensuring efficient deployment and smooth integration processes.

Required Senior Software Developer - Core Team
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 us.
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 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.

Realize your potential by joining the leading performance-driven advertising company!
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.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
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 leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize our company's vision?
What you will be doing:
Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
Triage and root-cause performance issues reported by our customers
Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
Collaborate with a very dynamic team across multiple time zones.