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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.

Were on the lookout for a Technical Support Engineer whos ready to go beyond the usual break/fix routine. This isnt just about fixing issues; its about breaking the mold of traditional support, anticipating problems before they arise, and driving innovation that keeps our customers raving while protecting their data. Youll be the spark that ignites a team of forward-thinkers, taking our support to levels most wouldnt even dream of.
What you'll do:
Be the Game-Changer: Be part of a high-octane support team with vision, grit, and a relentless drive for excellence. Youre not here to twiddle your thumbs; youre here to inspire, challenge, and elevate.
Solve Complex Problems: When others see a roadblock, you see a challenge worth conquering. Youll tackle issues head-on with creativity, tenacity, and a refusal to settle for anything less than excellence. Approach challenges with a solution-oriented mindset. Proactively identify and address potential issues before they impact customers. Youre the go-to when others throw in the towel.
Obsess Over Customers: Our customers arent just clients-theyre your mission. Ensure their experience isnt just good, but legendary. Get inside their heads, anticipate their needs, go above and beyond, and make sure they know weve got their back, every step of the way. Our customers dont just deserve support-they deserve unforgettable experiences.
Collaborate Boldly: Collaborate within your team to find resolutions faster. Work closely with cross-functional teams (Product, Engineering, Customer Success, etc.) to ensure seamless communication and support. Bring your insights to the table and challenge the status quo. Your collaboration isnt just participation-its disruption with purpose.
Innovate Relentlessly: Implement solutions that go beyond traditional technical support. Youre here to challenge the norm and set new benchmarks in technical support. Find opportunities to enhance our processes, tools, and customer experiences, and dont hesitate to shake things up.

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.

We are looking for a hands-on, experienced Physical Design Engineer to join us and help define and implement next-generation AI SoC in an advanced technology node

You will play a key role in building and leading our physical design team, developing flows and methodologies, and driving the full RTL-to-GDSII implementation and signoff for one of the most advanced SoCs in the industry.

What Youll Do

Take part in shaping methodology and best practices in advanced technologies

Drive end-to-end implementation: synthesis, P&R, timing closure, and signoff

Collaborate closely with architecture and design teams on timing, floorplaning, partitioning, and power specification

Define and optimize static timing constraints, area, and power goals at block and top levels

Take part in flow development and automation to improve efficiency and quality of results