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we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's an outstanding legacy of innovation that's fueled by great technology-and outstanding 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.  youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. come join the team and see how you can make a lasting impact on the world.
we are seeking a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers networks. the position will take on a lead role, working with teams with varied strengths across and with external partners to research security requirements for networking products.
what you'll be doing:
lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
apply innovative security primitives to enable secure platforms.
collaborate across external and internal hardware and software research teams.
architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
research network telemetry for supporting secure networking platforms confidentiality, integrity, and availability.

our company has been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's an outstanding legacy of innovation that's fueled by great technology-and outstanding 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, encouraging environment where everyone is motivated to do their best work. come join the team and see how you can make a lasting impact on the world.
we are seeking an experienced malware research architect who can design and implement advanced malware detection systems using virtual machine introspection (vmi) techniques. the ideal candidate should have deep expertise in developing out-of-vm security solutions that can detect and analyze sophisticated malware, rootkits, and other cyber threats by introspecting and reconstructing volatile memory states of guest operating systems and file system states. strong knowledge of file systems, and hypervisor technologies is essential. the candidate will craft automated malware detection systems that use vmi and file system techniques to predict early signs of malware execution and accurately classify unknown threats.
what you'll be doing:
lead, research, design, develop and implement solutions for next-generation secure networks.
develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.

we are looking for a phenomenal engineer to join the chip simulation team for networking chips and gpus. this simulation platform enables engineers across firmware, sdk, and os domains to develop and TEST their code without relying on physical hardware. if you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.
what youll be doing:
develop and maintain simulation infrastructure components for different simulation teams (gpus, switches, nvlink, ethernet, phy) of high-performance networking chips.
define, implement, and validate simulations of core infra features, improve performance, maintain multi processes and multi-threaded ipc mechanisms (sockets, queues etc.), define architecture and the building blocks of the simulation.
own, extend and optimize all the ci/cd of the simulation team, starting from servers installation to adding and maintaining various jenkins jobs that help Developer and improve their life.
collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex behaviour in software.
support internal users by debugging simulation flows and collaborating on bug resolution.
take part in future-facing innovation by enabling simulation for next-generation devices and features.

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.

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