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we are a leading vendor of advanced communications software, products and productivity solutions for the digital workplace
We are looking for End-to-End Integration engineer to be responsible for our company's staging environment.

we are looking for a QA engineer for development of automatic testing scripts and performing tests in areas of Voice over IP , voice processing and acoustic.
Responsibilities:
Development of automatic tests for VoIP equipment and DSP algorithms in Python.
Performing acoustic automatic tests with computer controlled acoustic test equipment.
helping development team with scripts and tests.

we are a leading provider of advanced voice communications software, products and productivity solutions for the digital workplace and customer experience. Our innovative products, solutions and services are used by large multinational enterprises and leading tier one operators worldwide. As of today, 50 of Fortune 100 enterprises use our company's technology.
At our company, we are proud to embody the core values of innovation, collaboration, and trust in both our culture and products. We are creating groundbreaking technology utilizing a world-class, conversational AI and generative AI-powered Platform that revolutionizes how businesses use voice to communicate, collaborate and service their customers and internal teams. As a key enabler of digital transformation, digital workplaces, and hybrid environments, our company helps businesses find their voice; every business has a voice, our company makes sure it is heard. We are an open, inclusive, and diverse organization, and our employees are at the heart of the great products and services we create. We offer a flexible and collaborative work environment, along with career growth opportunities.
Job Summary:
The Service Reliability Engineering Team Leader will join the dynamic R&D group that designs and develops AI-powered UC recording SaaS solutions. The Service Reliability Engineering Team Leader and his\her team will provide expert assistance to field engineers when required. We are looking for a professional who is passionate about investigating, learning, and implementing new technologies while going beyond the following job description to help where needed.
Responsibilities:
Lead a distributed team of Service Reliability Engineers
Ensure 24/7 on-call readiness of the team to respond to escalated incidents
Take active part defining and adopting global and internal reliability targets
Implement and maintain the practice of continuous monitoring Field issues (tickets) to meet global and internal SLAs
Work with all relevant departments inside the company (developers, QA, PM, CSM, sales, etc.)
Work directly with end customers on escalations
POC with strategic and potential customers Implement and maintain the practice of instant proactive and reactive response to production incidents
Define, follow and share Troubleshooting protocols and post-incident debrief routines
Create and maintain environments for R&D internal use
Create and maintain field-facing knowledge base and documentation. Provide trainings to relevant Service teams in our company.

we are looking for a DSP Engineer for development of voice processing s/w in the area of Voice over IP.
Development in C language of DSP s/w that run on many of our company's products: IP Phones , VoIP gateways, SBC and more. T
he relevant platforms are : TI DSP processors, ARM processors, Intel x86 on prem. servers and in cloud.

we are looking for Infrastructure Software Engineer for the SBC group.
The position includes development for SBCs application infrastructure team on Linux environment.
Software Developer Duties and Responsibilities
Collaborate with different teams and determine the scope and expectations of the project
Produce clean, efficient code based on client specifications
Integrate software components and third-party programs to meet specifications
Troubleshoot, debug, and upgrade existing software
Gather and evaluate user feedback and make adjustments as necessary.

The ideal candidate would be an experienced SysOps/Devops, skilled with Cloud and On-Prem systems operation and networking, and want to be part of our Contact Center as a Service product. Telephony system and Infrastructure knowledge will be greatly valued. We are looking for a long-term relationship with a highly motivated expert, who is passionate to investigate, learn and implement new technologies, as well as be happy to think out-of-the-box going beyond the immediate job description to help out where needed.
About Voca CIC: One-Screen, AI-first Contact Center Built for Microsoft Teams
Todays modern workplace demands a new approach to customer experience, one that not only empowers agents to enjoy their jobs and provide exceptional service to customers but enables internal business lines to provide top-notch service throughout the organization too.
our company's Voca CIC, a Microsoft-certified lightweight CCaaS with built-in Conversational AI, is designed entirely for Microsoft Teams to unify your customer and employee experience.
With Voca CIC as a Microsoft Teams App, enterprises can consolidate their unified communications and contact center into one-screen, allowing every Microsoft Teams user to become a potential agent.
Voca CIC is an Azure-native integration with Teams and offers a unique mix of contact center and voice expertise, making it an ideal solution for organizations looking to modernize their CX capabilities with minimal upfront costs.
Responsibilities:
Install and manage cloud and on-prem systems
Write Telephony and IVR flows
Solve telephony and networking issues
Work directly with R&D, PM, QA and other teams.

Embedded software engineer We are looking for an enthusiastic and passionate Embedded software engineer to take a central role in our R&D team.
You will have the opportunity to work and design a first-in-market product within a dynamic, open, and fast-paced environment.

Responsibilities:
Lead, mentor, and inspire a team of Embedded software engineers.
Drive the design, development, and maintenance of Real-Time Embedded software.
Ensure code quality, perform code reviews, and uphold best practices in software engineering.
Actively contribute to hands-on software development in C / C ++.
Coordinate with other teams and departments to ensure project alignment.
Ensure compliance with medical software development standards and regulations.

abra R&D is seeking an experienced Embedded Linux BSP Architect to define and oversee the architecture of software components, including infrastructure, before the application layer. This role involves managing generic tasks shared across different applications running on the same hardware platform, defining hardware-software interfaces, performing research and implementation for architecture validation. Responsibilities:
* Ensuring vendor support for the required operating systems.
* Working with device drivers, including enabling compilation for different Linux kernel versions.
* Handling Evaluation Boards (EVBs) for various components.
* Developing within Board Support Package (BSP) environments for SOM/SOC/Microcontrollers.
* Evaluating CPU/GPU processing capabilities and addressing memory bottlenecks.
* Writing C/C++ code samples for hardware interaction.
* Supporting hardware components with advanced capabilities, such as RDMA.
* Validating hardware performance against specifications.
* Configuring hardware components for data transfer across various BUS protocols (e.g., PCIe, LAN), including PCIe Bridges and LAN Switches configuration.

The company's Futures Organization is a team dedicated to pushing boundaries and driving innovation within the company. The team achieves this through a variety of means, such as experimentation, extensive research, POC and MVP initiatives. Through these methods, the team aims to develop and incubate emerging technologies, user experiences, and capabilities. By constantly exploring new ideas, the company's Futures team identifies and develops solutions that have the potential to be transformative to our customers, products, and business. The teams work ensures that our company remains at the forefront of innovation and can continue delivering valuable products and services that meet the evolving needs of our customers.As a Staff Full Stack Engineer within the company's Futures organization, you will play a pivotal role in driving innovation and developing cutting-edge products and technologies that benefit both our internal and external customers.
Responsibilities
Design and Development: Architect, design, and implement full stack web applications using modern technologies and best practices.
Collaboration: Work with product managers, designers, and other engineers to gather requirements, create technical specifications, and ensure successful project delivery.
Prototyping and Experimentation: Conduct experiments and build POCs to test new technologies and concepts, evaluating their feasibility, scalability, and impact.
Documentation: Create and maintain technical documentation related to architecture, design, and implementation details to facilitate communication and knowledge sharing.

Come join our team as a Staff Data Science/MLEngineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain machine learning models, using both analytical algorithms and deep learning approaches, that will be leveraged by critical backend systems of our companys Data Acquisition Platform.
In this role, you will:
Lead and apply best practices in ML Project lifecycle management: scoping, data preparation, deployment, and monitoring
Collaborate with multiple teams at our company and contribute to components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications
Be expected to help architect, integrate, optimize, deploy, and code data pipelines and ML models at scale using the latest industry tools and techniques
#LI-Hybrid
Responsibilities
Design and build systems, which improve machine learning scalability, usability, and performance
Own end-to-end model development lifecycle, including defining problems, featurization in distributed process systems, model exploration, and development, deployment, and model performance monitoring
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Roughly 50% hands-on coding.

we are a global technology platform that constantly disrupts itself by identifying major new technology and design trends that are needed to deliver our mission to power prosperity around the world.
Come join the team as a Senior Back End Engineer. We are a customer obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
#LI-Hybrid
Responsibilities
Participate in the agile feature/product design process working with cross-functional teams
Design, implement and enhance services at large scale as part of the sales product, enabling various customers use cases. E2E responsibilities including technical documentation and automation tests.
Production support involved with monitoring production systems and remediating issues
Strong leadership and communication skills (Hebrew and English), and ability to work well in a team. Collaborate with other engineers to share best practices and knowledge of emerging technologies
Engage with customers to get a first-hand understanding of their needs
Perform and participate in peer code reviews.

R-241031

We are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.

We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.

Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.

As an ML Engineer, you will play a crucial role in shaping the system design, backend architecture, and overall performance of our company's ML inference systems. We collaborate with cross-functional teams, including designers, developers, and researchers. The role offers the chance to significantly impact our companys core production systems. Youll have the opportunity to develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success. This hands-on role involves working extensively with Python, ComfyUI, system optimizations, and cloud infrastructure.
This position is perfect for a skilled backend engineer passionate about driving efficiency and innovation in machine learning.
Responsibilities
Design and optimize backend systems to support efficient ML model inference
Work with cloud infrastructure, networking, and both CPU and GPU architecture
Enhance the efficiency and observability of our inference engine, supporting various high-demand applications
Collaborate closely with engine users, designers, developers, and researchers to refine and improve system capabilities
Contribute to the ComfyUI codebase, ensuring a scalable, user-friendly interface for machine learning operations
Navigating and contributing to a large, complex existing codebase
Addressing complex issues with creativity and efficiency.