דרושים » ניהול ביניים » Senior Software Engineer - Platform

We are looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are looking for a Senior Software Engineer -Protocols to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are looking for a Senior Software Engineer -Data Path to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are seeking a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a Data Engine Software Engineer, You will participate in developing our Engine, a fully managed Serverless platform tailored for AI pipelines. You will write operators, controllers, and schedulers that integrate to other platforms and services all running on a Kubernetes environment.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.

We are looking for a Senior Software Engineer to join our technical team at the research & development site of Siemens EDA (Tel Aviv, Israel - Our office is in Airportcity).
Following are the key roles and responsibilities:
Design and develop features on graphical Desktop app to enhance the product capabilities.
write fast, effective, maintainable, reliable and well documented code
Improve and verify the quality and performance of the product.
Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.
Stay up to date with industry best practices, new technologies, and emerging trends in software development.
Innovate! Come with new ideas to the product.

Required Senior Windows Low Level Engineer (Prisma Access)
Who We Are:
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
Your Career:
In a world where remote work is the new norm, organizations perimeters are much more loosely defined and cloud-native apps replace data centers rapidly, a new approach is needed to provide connectivity, compliance and security for all.
As a Low Level Engineer in Prisma Access, you will be responsible for Architecting, designing and building the new generation of Prisma Access agent, re-imagining how remote work looks like.
Built from scratch with the most up-to-date technology, and supported by an awesome group of people you will impact the everyday work of tens of millions of people!
This is a unique opportunity to join very early and take charge of a new product architecture and build it from scratch.
Your Impact:
Lead the architecture, design and implementation of a new product which will affect 10s of millions of people from the very early stage!
Design, implement and test critical components in the product, including kernel drivers, and user-mode OS-related infrastructures, in C++,C
Work in close coordination with other teams, other OSs and other products to learn and leverage knowledge
Participate in researching advanced technologies and their implications on connectivity and security
Research new technologies and adapt them for use in the companys products
Write design documents, development guidelines, and best practices.

We are expanding its engineering team!
We are looking for a highly skilled Senior System Software Engineer to join our core R&D efforts and help build cutting-edge AI-based vision systems.
This role is ideal for an experienced engineer coming from leading hardware/software companies (such as NVIDIA, Intel, Qualcomm), with strong expertise in real-time systems, edge computing, and system-level optimization.
Responsibilities
Design and implement real-time software infrastructures to support AI and vision-based workloads.
Develop system-level components: resource management, scheduling, IPC, memory optimization, and performance profiling.
Work closely with hardware, AI, and system architects to enable efficient and scalable execution of AI models on edge devices.
Optimize software performance across heterogeneous computing units (CPU, GPU, NPU, DSP).
Contribute to system bring-up, debugging, and optimization on custom SoCs.
Stay updated with the latest advances in system software, real-time computing, and AI infrastructure.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
About the Team
We are seeking a highly skilled Senior Data Engineer to join our company's ML Data Group and help drive the development and optimization of our cutting-edge data infrastructure. As a key member of the company's ML Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer at our company's ML you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

We are looking for a Sr. Software Engineer - C/C++ Cloud.
This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on Linux. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.
SDEs in the team own design and development of core features of the product. Features will cross-cut most core OS subsystems such as file system, memory, process, and networking. The team operates under the Agile development principles and ships frequently.
What You'll Do:
Build real-time payload analysis capabilities
Develop cloud-aware sensors that work across multiple environments
Implement logic for real-time threat detection
Integrate sensor telemetry with security platforms

At our company, we are building an AI-First company, leveraging cutting-edge technology to revolutionize climate intelligence.
our company's engineering department is focused on building life changing software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
We're looking for a Senior DevOps Engineer who'll bring the dev stream from build through deploy to production, to maximum efficiency, reliability, security and stability. You'll integrate AI capabilities into our DevOps workflows, facilitate team independence, and maintain adaptive infrastructure that supports our business strategy. By continuously reducing costs and increasing velocity, you'll work in a team effort to achieve our goals. You'll help us make sure we are building the biggest weather platform in the world.
As a Senior DevOps Engineer at our company, You'll:
Develop and adopt AI-powered tools to make Development and Operations processes more efficient
Collaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and cost
Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
Build self-service platforms for scientists and developers to work independently
Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
Maintain Production availability by participating in DevOps on-call shifts.