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abra R&D is seeking for a Firmware Software Engineer! In this position, you will design and develop embedded software components, work closely with hardware interfaces, and take ownership of features from concept to deployment. You will be part of a highly skilled engineering team, contributing to system-level architecture, performance optimization, and robust real-time functionality.

we are looking for a Senior Data Scientist.
As an Applied Researcher, you will play a central role in advancing our AI capabilities -fine-tuning and optimizing large language models to extract legal insights and power intelligent decision-making at scale. Youll explore new model architectures, training paradigms, and evaluation methods to push research from experimentation to impactful, production-ready innovation.
Youll collaborate closely with data scientists, engineers, and domain experts to design and validate research prototypes, integrating cutting-edge methods such as model distillation, retrieval-augmented generation (RAG), and knowledge-graphbased reasoning.
Responsibilities:
Design and evaluate new model architectures, training objectives, and loss functions that enhance generalization and domain adaptation.
Research and innovate in areas such as model compression, knowledge distillation, and retrieval-augmented generation (RAG) to improve inference efficiency and interpretability.
Publish and present innovative findings internally and externally to advance the organizations leadership in applied AI research.
Collaborate cross-functionally with engineering, product, and data science teams to transition research prototypes into scalable production systems
Drive measurable impact by translating research innovations into deployable solutions that improve model performance, scalability, and user outcomes.
Contribute to the research community through publications, open-source contributions, or collaborations, showcasing thought leadership in LLM fine-tuning and applied AI innovation.

we are looking for an experienced Backend Developer to join our UBA Threat Detection.
Youll be working at the very heart of how we detect threats, learn the organizations behavior and its users and protect the worlds most sensitive data.
Responsibilities
Build scalable backend systems for detecting unusual behavior in massive datasets
Taking end-to-end ownership of features, from design to development and deployment
Collaborate with data scientists, engineers, and researchers across
Work with AI models for detection, PySpark, Databricks, and other big data modern tools
Being part of a cutting-edge team developing high-impact detection capabilities used by enterprises around the world

We are searching for a highly motivated Escalation Engineer to join our R&D team.
The goal of the Escalation Engineering team is to provide our customers with the highest level of customer experience by providing quick solutions to complex technical problems and to ensure that they get value from the entire products portfolio by setting quality standards. The team extracts and analyzes a huge amount of data from the latest IT technologies available today. Our Escalation Engineers must learn fast and adapt to quickly changing technology in order to maintain and develop our product line. The Escalation Engineer investigates issues related to our product suite and provides timely resolution while coordinating with other technical groups in the company. Our Escalation Engineers are our go-to resource for our most challenging customer cases, which can include technical complexity or politically charged escalations.
Responsibilities
Analyze, diagnose, and debug complex product issues, and deliver engineering solutions to them
Create and implement fixes
Take ownership of escalations and drive towards resolution
Act as a technical focal point in cooperative relationships with other internal groups
Work closely with our software development teams from various product components to deliver success
Acquire both broad and in-depth product knowledge
Create and improve documentation to train support engineers to resolve support cases
Demonstrate strong interpersonal and communication skills
Push for solutions and interact with people from various other teams

We are looking for a skilled and motivated DevOps engineer to join our DevOps team.
As part of our team, you will be a part of a unique and efficient group leading DatAdvantage Cloud, as it scales to host and serve thousands of new customers on a pure SaaS infrastructure. You will join an innovative, high-performance team and work with cutting edge technologies in a dynamic and agile environment. In this role, you will design, build and manage our cloud-native infrastructure, and play a key role in architecture planning.
You will be part of a cross-continent DevOps Group, which is leading DAC (Data Advantage Cloud), through its way to protect the data of thousands of customers on a pure SaaS infrastructure.
You will join a high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
In this role, you will design, build, and manage our cloud-native infrastructure, CI/CD, along with architecture planning and innovation.
Responsibilities:
Take an integral part in shaping the future of our enterprise-scale environment architecture.
Provide support and solutions to our growing R&D Groups.
Design, build and operate cloud infrastructure to enable reliable, rapid, effective and flexible CI/CD process across all microservices.
Develop, and transition the current processes into platform engineering methodologies based on a guardrail and self-service principles.
Develop and maintain observability for all cloud engineering aspects.
Establish standards, practices and innovative solutions that will be used across all microservices and help the entire R&D move fast.
Work closely with Engineering teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

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.

we are looking for a Senior FinOps Specialist.
The FinOps Manager leads cloud financial operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Define and execute the organizations FinOps strategy in collaboration with engineering, finance, and product leadership.
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide guidance on best practices for cloud cost optimization and financial governance.
Foster a collaborative environment between finance and technical teams.
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Implement cost allocation strategies and drive adoption of Reserved Instances, Savings Plans, and Spot usage.
Identify optimization opportunities and present actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Reporting & Forecasting
Deliver executive-level dashboards and reports on cloud spend, trends, and forecasts.
Communicate insights to senior stakeholders and influence budget planning.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement FinOps tools and integrations for real-time visibility.
Governance & Compliance
Establish policies across R&D for cloud usage and financial accountability.
Ensure compliance with internal and external audit requirements.

DustPhotonics develops cutting-edge silicon photonics technology that is revolutionizing connectivity and communication in data centers. Silicon photonics is rapidly becoming the standard for high-performance systems, addressing critical challenges of performance, integration, power efficiency, and cost. The technology is also expanding into additional markets such as Healthcare, LIDAR, and advanced sensing. At DustPhotonics, we solve complex problems in smart and simple ways—thinking out of the box, leveraging deep technical expertise, and working as a team to create real impact. Our culture is built on accountability, fairness, and collaboration. We believe in working hard and enjoying the journey. We are looking for a Software Engineer to join our R&D team and take a key role in developing software tools that support both research and production environments You will work closely with physicists, electro-optics engineers, and production teams, and act as the go-to software expert within the organization.



Responsibilities:

Development & Automation
* Design and develop Python-based tools for R&D and production
* Build web applications and GUIs for QC dashboards and automation systems
* Automate workflows, report generation, and hardware control using Python
* Write automation scripts for R&D and production testing environments Data & Monitoring
* Design and maintain MySQL databases for production and R&D data
* Implement Grafana dashboards for real-time monitoring and QC insights
* Set up logging and monitoring solutions to ensure software reliability
* Contribute to automated defect classification , including image-based analysis Deployment & Infrastructure
* Deploy applications using Docker for consistency and scalability
* Work with GitLab for version control, CI, and collaboration Collaboration & Support
* Troubleshoot Python-related issues (virtual environments, dependencies, package conflicts)
* Support and mentor team members in software best practices
* Collaborate closely with cross-functional teams to translate engineering needs into software solutions

seeking a Lead Networking Architect to help define and shape the next generation of our AI-SuperNIC scale-out chip.

Scale-out communication is a critical element in building competitive systems for modern data centers. Were looking for an expert with deep networking experience to collaborate closely with our AI/ML, platform and driver software, and VLSI teams in designing an optimized scale-out networking architecture.

If youre passionate about low-latency communication and have a strong background in RoCEv2, HPC communication, and NVMe-oF, this is a unique opportunity to take on a challenging and influential role.

This is a senior, high-impact position at the forefront of technology innovation-driving the development of cutting-edge networking and AI acceleration solutions.

Responsibilities

Work closely with CTO and peer architects to define the product requirements and features of next generation ultra low-latency AI-SuperNIC scale-out chip
Lead adoption of new industry standards such as UEC, UALink while maintaining a competitive solution for RoCEv2
Establish architecture guidelines, requirements, and the division of labor between software, firmware and hardware.
Lead performance estimations, modeling, measurements, and optimizations, as well as system-level integration efforts.
Engage directly with end customers and partners to shape use cases and system solutions.

Were looking for a talented Senior Fullstack Engineer with a focus on frontend development to join our team. Your primary responsibility is frontend development using React, delivering complete UIs to support new features while maintaining the UI infrastructure, component library, and more. You will also develop backend services in Node.js and implement AI-driven features using workflows and advanced tools to enhance our platform.

What will you do:
Work with Product and design teams to lead the end-to-end development of new features
Develop a highly scalable and reliable incident management console, which is constantly handling live updates and user interactions
Own end-to-end features; system design, infrastructure, implementation, testing, monitoring and demoing the result
Impact ongoing tech stack related discussions and upgrade initiatives
Set a high standard for design reviews (within the team and the R&D), and mentor your peers to success

Were looking for a talented Senior Backend Engineer to be a key team player and help us shape the future of incident management, taking an active part in the architecture, design, and implementation of new and existing features. You will be solving challenging problems and leading the practice of advanced debugging and diagnosing complex distributed systems.

What you will do:
Design and develop highly scalable services and participate in other life-cycle activities such as analysis, testing, performance, and production releases
Utilize state-of-the-art technology to solve complex software system problems
Enhance development productivity by identifying the areas for modification and innovation
Promote rapid prototyping development, proving value, and expanding where needed
Maintain a high standard of coding and introduce engineering best practices

We are seeking a highly motivated and skilled Release Manager to join our AIOps group.
In this role, youll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how youll make an impact:
Manage a team of 3 release engineers.
Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We seek an experienced Machine Learning Software Engineer to join our ML Team.
In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments
A day in the life and how youll make an impact:
Productization of algorithms Optimized for large scale algo serving.
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Continuously explore ways to improve our code and ML Infrastructure
Collaborate with team members to define future technology and features.

We are looking for a DevOps Engineer to join our DevOps R&D team.
In this position, you will be responsible for integrating developers and operations teams to improve collaboration and productivity by automating infrastructure, automating workflows, and continuously measuring application performance.
A day in the life and how youll make an impact:
Establish, maintain, and evolve concepts in continuous integration and deployment (CI/CD) pipelines for existing and new services.
Collaborate with Engineering and Operations teams to improve automation of workflows, infrastructure, code testing, and deployment of on-premise and cloud services.
Remain up-to-date on industry trends, share knowledge among teams, and abide by industry best practices for configuration management and automation.
Implement effective monitoring and increase the sophistication of our alerting and escalation mechanisms
Identify and resolve performance and scalability issues in products and infrastructure.