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We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

we are looking for best-in-class Chip Design Manager to join our outstanding PCIe team. As a manager at our team, you'll lead a passionate group of innovative engineers that implements the next PCIe gen7 protocol for all our company high-end chips such as networking, Tegra, and GPU! Make a significant impact in a fast-paced environment, deliver high-speed communication devices with outstanding performance while focus on energy efficient design.
What You'll Be Doing:
Lead a team of design and verification engineers that develops core units within the PCIe stack for all company high-end silicon products.
End to end ownership over entire chip delivery process - plan, design, verify and unit integration.
Work closely with multiple teams within organizations such as Project managers, Architecture, Micro-Architecture, Firmware, and Physical Design.

we are searching for a highly motivated software engineer for the company NetQ team that is building a next gen Network management and Telemetry system in cloud using modern design principles at internet scale. our company NetQ is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center network, integrating the fabric into your DevOps ecosystem.
What you'll be doing:
Building and maintaining infrastructure components like NoSQL DB (Cassandra, Mongo), TSDB, Kafka etc
Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks. Managing tools and enabling automations for redundant manual workflows via Jenkins, Ansible, Terraforms etc
Enable performing scans and handling of security CVEs for infrastructure components
Enable triage and handling of production issues to improve system reliability and servicing for customers.

our company Networking is looking for an excellent Software Manager to work on our company cloud platforms based on Kubernetes. We are seeking an experienced Manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build complex cloud systems based on our company's superior ConnectX and Bluefield NICs and SpectrumX AI platform. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!
What you'll be doing:
Lead distributed team of software developers
Take end-to-end responsibility for major features
Hands-on involvement in coding, debugging software.

we are seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation our company Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across our company and with external partners to meet security requirements for our state-of-the-art network products.
our companys invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as the AI computing company. We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!
What you'll be doing:
Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.
Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware.
Design next generation production and provisioning systems.
Collaborate with partners on the implementation of open-source software.
Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.
Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.
Work with customers, partners to identify and address security issues and threats.

our company has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, our cpmpany has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence.
We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team builds software solutions that enable efficient inference on the latest and greatest generative AI models. We tackle problems on all levels of the stackfrom server-level request batching to GPU kernel fusionand collaborate with teams across diverse disciplines to push our company's hardware to its full potential.
What youll be doing:
Cooperate with research teams to onboard new LLMs and VLMs into our company's opensource AI runtimes
Optimize inference workloads using sophisticated profiling and simulation tools
Build SOLID, extendable inference software systems, and refine robust APIs
Implement and debug low-level GPU code to harness the latest HW features
Own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products.

As a key member of the Customer Program Management Team at our company, we are looking for a Technical Customer Program Manager with deep expertise in networking technologies. In this role, you will lead customer-facing activities and drive both internal and external technical and operational program execution. You will work closely with hyperscale cloud providers and enterprise customers to deliver our companys industry-leading networking solutions at scale.
Come join the team and see how you can make a lasting impact on the world!
What you will be doing:
Lead complex customer programs focused on deploying our companys high-speed networking technologies, including InfiniBand, Ethernet, and AI data center fabric solutions
Serve as the technical interface between our company and customer engineering teams, driving alignment on design, integration, validation, and deployment
Coordinate multi-functional program execution across engineering, validation, operations, supply chain, product, and support teams
Manage technical discussions related to system architecture, firmware, drivers, telemetry, congestion control, and software-defined networking Support customer bring-up and validation cycles by providing guidance, documentation, and access to the right engineering resources
Drive timely resolution of blocking issues, customer requirements, and change requests throughout the program lifecycle
Monitor progress and report on program status, risks, and recovery plans to internal leaders and customer team members
Build solid relationships with crucial customers and use technical knowledge to proactively discover opportunities and challenges.

we are looking for best-in-class STA (Static Timing analysis) Physical Design Engineers to join our outstanding Networking DFT team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you will be doing:
DFT STA execution, from rtl driven constraints and definitions through DFT constraints quality assurance to STA sign-off.
Be part of a unique team of experts who have deep understanding in all aspects of pre and post silicon.
Be exposed and work on a variety of challenging designs, unique DFT solutions that require deep silicon implementation understanding.
Daily work involves all aspects of static timing analysis - constraints, environment, models generation and timing ECO generation for block level and full chip level.
Taking part in flows development.

We are scaling our AI team with mission-driven individuals eager to shape the future of mobility. As a Machine Learning Model Evaluation Engineer (Computer Vision), youll collaborate closely with our research team to design, build, and optimize data infrastructure and annotation workflows. You will be the focal point between the team and the annotation team, ensuring high-quality labeled data and efficient processes. Additionally, you will help optimize our algorithms, analyze performance metrics, and define optimal operating points to enhance model effectiveness. Your work will directly contribute to pushing the boundaries of Vision AI and advancing our cutting-edge projects.


RESPONSIBILITIES

Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Be the focal point for annotation processes to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.

Develop and optimize a scalable infrastructure to support applications, leveraging various tools, technologies, and frameworks.
Own infrastructure features from design through to production, ensuring high standards for performance and reliability.
Engage with customers to understand infrastructure needs and design effective solutions to address them.
Collaborate on cross-functional initiatives with teams in DevOps, infrastructure, data engineering, and backend development to ensure seamless deployment, security, and operational efficiency across the ecosystem.

We are looking for a collaborative and experienced Program Manager to join us as we take the next leap in shaping the future of DevOps. As Program Manager, you will drive new processes for the entire program while steering it through different R&D teams and other departments, from planning to delivery, while ensuring clear visibility using advanced methods. You will work closely with R&D, Product Managers, Strategy, Sales, Marketing, Executives, and others.
As a Program Manager you will...
Lead cross-company initiatives and hold E2E plans, be the executor who drives progress, holds the forum to track updates, and facilitates decision-making
Manage highly technical cross-functional software programs, from inception to delivery
Collaborate with Product and Engineering, mid and upper management to ensure alignment with the companys strategy, commitments and goals (OKRs)
Drive and facilitate annual roadmap planning and track the quarterly scope lockdown
Be a central player in developing the procedures, choosing the tools, and determining how to manage our programs
Own the process by nurturing learning and knowledge sharing, and driving adoption throughout the organization.

our company seeks a highly motivated senior AI cloud Software architect to join our team in Israel. Work on innovative technologies shaping the future of AI and cloud. We are developing RDMA Transport protocols within the Networking software architecture team at our company. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our company's vision?
What you'll be doing:
Translate requirements into vision, architecture, and roadmap
Design infrastructure to support programmable improvements to RDMA protocols for E/W AI networking stack
Collaborate with multi-functional teams to innovate and deliver networking solutions
Explore innovative solutions in HW and SW for our next-generation platforms as part of programmable RDMA architecture
Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.

Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring.

we are looking for an outstanding Software Engineer to join our SW SIMX Verification Team. You will be part of a team developing tests and platforms for a next-generation Switch simulation, work closely with SW R&D teams, performance team, and gain a deep understanding of building advanced networking simulation solutions. You will lead feature verification from design through implementation to framework integration, develop robust infrastructure, and work collaboratively with cross-functional teams.
What youll be doing: 
In this role, you will work closely with developers to test new components including crafting and executing unit, functional, and performance tests
Develop a verification environment using C/C++/Python to qualify the product from functional and performance perspectives
Analyse coverage measures to identify verification holes and to show progress toward product development and releases
Identify and write all types of coverage measures for stimulus and corner cases
Be responsible for verification of system design and software using advanced verification methodologies.