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We are seeking a skilled Low Level Engineer to join our expanding team dedicated to developing cutting-edge cybersecurity products from the ground up.
If you possess exceptional programming skills and have a passion for creating new applications or enhancing existing ones, we would love to meet you.
Responsibilities
Design, implement, and test complex systems running on endpoint devices (Windows/macOS) and interact with the operating system
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.
Collaborate with Product Managers (PMs) to translate business requirements into technical definitions, ensuring that the technical solutions align with the company's goals and objectives.

Would you like to learn about the inner workings of Azure Edge? Are you excited about jumping deep into various areas and composing a bigger picture? we are leading the way to extend Azure cloud services to sovereign, disconnected, edge, enterprise, and hybrid scenarios. Deploying hyperscale services into hybrid and disconnected clouds provides unique and innovative engineering challenges. If you are inspired by this cloud innovation, have the skills to secure and build production grade services, and are looking for a dynamic and collaborative team environment, come talk to us!
Responsibilities:
If you are passionate about advancing security and staying ahead of sophisticated threats, this is your opportunity. As a Software Engineer, you will:
Design, develop, and maintain security solutions for Edge and cloud environments, focusing on cryptography, keys and certificates.
Lead technical architecture and design discussions, driving innovation in secure Azure Edge technologies across Windows and Linux.
Collaborate with cross-functional teams to deliver scalable, reliable, and efficient security features for Specialized Clouds.
Mentor junior engineers, fostering a culture of excellence, collaboration, and continuous learning.
Analyze emerging security threats and implement proactive measures to protect users, devices, and cloud workloads in the edge.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of google's direct-to-consumer products. you'll contribute to the innovation behind products loved by millions worldwide. your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
the ai and infrastructure team is redefining whats possible. we empower google customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include googlers, google cloud customers, and billions of google users worldwide. we're the driving force behind google's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for google cloud, google global networking, data center operations, systems research, and much more.
responsibilities
lead an asic subsystem and understand how it interacts with software and other asic subsystems to implement groundbreaking data center networks.
define high-performance hardware/software interfaces. write micro architecture and design specifications.
define efficient micro-architecture and block partitioning/interfaces and flows.
implement designs in systemverilog.
collaborate with software, verification, and physical design stakeholders to ensure the designs are complete and correct.

We are looking for a Platform Engineering Manager to join the Data Security team. In this role, you will lead the Platform Engineering team, whose mission is to empower engineering teams by delivering reliable, scalable environments, services, and tools that enable efficient development, seamless delivery, and high productivity.

Key Responsibilities:

Lead, mentor, and grow the Platform Engineering team .

Own the CI/CD ecosystem (e.g., GitLab CI, Jenkins, etc) while driving adoption of best practices in build and CI/CD pipelines, testing, supportability, and security for faster and safer deployments.

Manage testing infrastructure and environment provisioning.

Drive automation to reduce manual intervention and operational overhead.

Improve developer productivity by streamlining local dev environments, sandbox infra, and test automation. Release faster and more reliable product.

Ensure ease of supportability, maintainability, and observability of services.

Conduct regular infrastructure reviews, audits, and cost optimizations.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

we are looking for a talented and experienced r&d platform engineer to join our dynamic team. our organization provides cutting-edge services utilized by both internal cyberark services and external customers. the ideal candidate will be responsible for defining and implementing best practices that can be shared across the company and working on edge technologies on the cloud. this position encompasses all stages of the software development life cycle (sdlc), including design, development, testing, and ensuring high roi on deliverables.
define and implement best practices for the r&d platform.
collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
work on edge technologies and cloud platforms to enhance our services.
participate in all phases of the sdlc, including design, development, testing, and deployment.
ensure high roi on deliverables by optimizing processes and solutions.
share knowledge and best practices across the company to promote a culture of continuous improvement.

we are seeking for a highly motivated and experienced senior backend Developer to join our group.
as a senior Developer in our group, you will design and build our new high scale, complex, cutting-edge systems built in React & Python running over aws, full ci/cd using cdk. you will enjoy both infrastructure and applicative challenges.
practice all software development life cycle in agile oriented environment
design and implement the infrastructure of the system
research and implement sophisticated Cyber security mechanisms
explore new technologies and tools to keep us using cutting edge solutions
help guide and contribute to feature design and implementation to bring the product to the next level.
participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability and performance qualifications
loves technology and excited about learning new stuff
3+ years of experience in Python /go/node/ruby/ JAVA ( Python is a definite advantage)
desire to use new technologies and understand them in depth
passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
at least 4 years of sw development experience
bachelors degree in Computer Science or engineering related field / technology elite unit alumni with relevant experience

Required Software Engineer
Powerstore Data Path Engineering team constantly push the boundaries of what is possible in the world of Big Data storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high-performance protocol stacks, and next-generation virtualization technology.
Join us as a Software Engineer on our Data Path Engineering team in Herzliya, Israel to do the best work of your career and make a profound social impact.
What youll achieve:
You will be part of Engineering development team, where software engineers constantly push the boundaries of what is possible in the world of storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high performance protocol stacks, and next-generation virtualization technology.
You will:
Participate in the preparation, review and evaluation of software/storage requirements and specifications
Develop of core Software - using mainly C/C++, Python
Prepare written specifications for tasks of varied complexity from verbal requirements
Use defined software lifecycle methodologies
Review and implement test strategies for software products
Take the first step towards your dream career
Every team member brings something unique to the table.
Job ID:R287349.

We are looking for a Senior Staff C++ Engineer to join our Tel Aviv R&D center and take a key engineering role within the Cross Platform Agent team.
Key Responsibilities
Lead the design and implementation of critical Cortex Agent components deployed across endpoint platforms (Windows, macOS, Linux) and cloud-native environments.
Build and maintain high-quality, production-grade software in modern, high-performance C++, owning the full lifecycle from design and implementation through automated test development and production support, including the handling of escalated cases.
Own the ongoing maintenance, hardening, and operational stability of the Defender in cloud-native environments.
Own the reliability and operational stability of the Defender components written in Go (Golang), focusing on production support, incident investigation, root-cause analysis, and hardening in large-scale cloud-native customer environments.
Address complex security, reliability, and performance challenges across large-scale endpoint fleets and distributed cloud environments, including Kubernetes, containers, and container runtimes.
Investigate and resolve complex production and field issues, translating operational insights into scalable, resilient, and efficient system improvements.
Raise the bar on engineering quality by effectively leveraging AI tools in software engineering, leading pragmatic design discussions, conducting focused code reviews, and continuously improving system robustness, correctness, and performance.