דרושים » תוכנה » Senior Software Engineer, Platform

As a Senior Software Engineer on our Protocols team, youll work to take our Multi-Protocols Interface to the next level. Youll achieve this primarily by helping craft ambitious features and critical components for Wekas main product, which is a distributed data platform that provides vital services and value for our customers.

As a Senior Kernel Engineer , your primary responsibility will be collaborating with other team members on our high-performance filesystem solution and releasing our kernel driver, which is written in C on top of Linux, as part of the filesystem product.

The kernel-based filesystem driver provides file access and logic to filesystems and the ability to connect clients to the cluster. This enables the system to provide applications with local filesystem semantics and performance while providing centrally-managed, shareable, and resilient storage.

Our entire kernel team proudly delivers high-quality kernel drivers and you will have the opportunity to quickly become an integral contributor.

As a Senior Kernel Engineer, youll:

Design and develop core product features in a complex software system with a focus on Linux kernel and OS infrastructure layers
Provide architectural guidance and fresh ideas in our core kernel driver and related interfaces
Locate performance bottlenecks within Linux and/or its driver or other components, and suggest & implement enhancements to meet target performance goals

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 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.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you ready to help build next generation solutions for High-Performance Web Servers and Proxy Servers, Content Delivery Networks, Financial Service market's High-Frequency Trading (HFT) platforms, High-Performance Disaggregated Storage? we are looking for an Excellent Senior Software Engineer to develop groundbreaking networking acceleration solutions for variety of markets. Development is done in an exciting and Agile environment on a widely deployed products that need constant improvements.
What youll be doing:
Design and develop high performance networking solutions based on our company's outstanding ConnectX and Bluefield networking cards hardware.
Work in a startup mode/group developing groundbreaking networking solutions.
Development of the entire solutions stack, from application level to networking card hardware access.
Development of kernel bypassing user space TCP/IP stack on top of our outstanding networking card hardware.
Invent and implement creative ways to improve performance and scalability.
Large scale and high quality deliveries.
Work closely with customers and partners.
Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.

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.

The Role Were seeking an experienced software engineer with deep expertise in Linux systems and a passion for building low-level, high-performance code. This is a hands-on leadership role where youll contribute directly to the codebase while guiding a small team of developers. Youll play a critical part in shaping and scaling our endpoint detection and prevention solution on Linux, driving both technology and execution.

Your Day-to-Day:

Take full ownership of core components in our Linux-based agent, including user-space and kernel-space modules.

Design and develop robust, secure, and efficient code using C/C++ and system-level Linux APIs.

Act as the technical lead and day-to-day manager for a small team, leading by example through high-quality contributions and code reviews.

Participate in architectural planning and decision-making for Linux agent evolution.

Collaborate closely with cross-functional teams: QA, DevOps, backend/server developers, and product managers.

Ensure delivery quality by writing tests and integrating with CI/CD pipelines.

Own performance, security, and reliability in our Linux endpoint software.

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.

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 Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our company's vision?
What you will be doing:
Engage with our partners and customers to root cause functional and performance issues reported with NCCL
Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters
Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)
Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters
Document and conduct trainings/webinars for NCCL
Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

We are looking for a senior Windows developer who is passionate about software design, code quality, and performance. The job involves writing production-grade and highly performant code that will be shipped to thousands of endpoints. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.

Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.
We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.
What you'll be doing:
Developing a highly optimized inference framework
Running on the worlds largest supercomputers and data centers.
The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.