דרושים » הנדסה » Software Programmer - LTE/5G Cellular Protocols

We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software.

Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products.

What you'll be doing:

Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products.

Work with our Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with our Networking products.

Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution.

Bring independent analysis, communication, and problem-solving to customer experience.

Collaborate with engineering to document, recreate and solve issues.

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.

In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.

RESPONSIBILITIES
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs.
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint.
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system.
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution.
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities.
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments.
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process.

As a Senior Engineer on the static analysis team, you will be a key contributor, playing a vital role in designing and building a powerful automated reverse-engineering engine. You will be tackling complex, unsolved problems in code analysis by translating cutting-edge research and critical business needs into robust, production-ready engineering solutions.

If you enjoy solving extremely difficult problems while drawing solutions from multiple domains and thrive in a hands-on technical role, then this position is for you.

What You'll Do:

Drive the hands-on design and implementation of core components for our powerful automated reverse-engineering engine.

Conduct research and development on cutting-edge algorithms for deep-code and data flow analysis.

Play a key role in developing, designing, and optimizing the Falcon ASPM platform.

Collaborate with fellow team members to solve the most complex and novel technical challenges.

Contribute across the entire software development lifecycle, from initial research and system design to production deployment and monitoring.

we are looking for a Python Linux Software Developer.
As a Senior Software Developer in Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and iOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned forensic investigations effectively and securely.
This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.
Key Responsibilities:
Lead and contribute to the development of new extraction technologies for Android and iOS platforms.
Analyze and reverse-engineer low-level OS internals and security mechanisms.
Develop robust system-level software in C, C++, and Python.
Collaborate with cross-functional teams to design, test, and integrate new capabilities into Digital Intelligence platform.
Stay current with emerging mobile security technologies and forensic challenges.
Share knowledge and best practices within the team to elevate overall engineering quality.

We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis.
You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
Lead experimental and theoretical R&D efforts for the development of next-generation distributed fiber-optic acoustic sensing systems.
Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
Develop system-level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
Build software tools and simulations in Python, C++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.

We're looking for a bright and passionate Senior Software Engineer to join our Endpoint Data Protection team. In this critical role, you will design, develop and maintain core components of our endpoint clients running on Windows and Mac, used by hundreds of thousands of users worldwide, across households and enterprise environments. You will help take our clients to the next level - building new low-level capabilities at the heart of how people move, share and protect their files, devices and network traffic. The scope is broad and the room to grow is real: ownership and technical leadership scale with you.
Responsibilities:
Developing core low-level components for our clients on Windows and Mac
Researching new technologies, including ways to use AI to accelerate engineering and product capabilities
Taking ownership on new features and leading collaborative efforts end to end
Supporting the entire application lifecycle, including release management and supporting production
Collaborating with quality assurance, technical support, product management and other engineering teams to deliver integrated features.

a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are looking for a talented, self-driven, and hands-on DSP Researcher to join our Photonics R&D team. In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications. You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
 
What Youll Do:
* Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
* Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
* Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
* Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
* Develop simulations, models, and analysis tools using Python and/or C ++ for lab experiments, field data analysis, signal processing, and system -level performance evaluation.
* Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
* Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
* Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

We are looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects.


What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are looking for a talented, self-driven, and hands-on DSP Researcher to join R&D team.
In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications.
You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams.
This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
What Youll Do:
Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
Develop simulations, models, and analysis tools using Python and/or C++ for lab experiments, field data analysis, signal processing, and system-level performance evaluation.
Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

We are a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Photonics R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis. You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment. This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
* Lead experimental and theoretical R&D efforts for the development of Prismas next-generation distributed fiber-optic acoustic sensing systems.
* Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
* Develop system -level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
* Build software tools and simulations in Python, C ++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
* Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
* Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
* Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
* Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
* Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.