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We welcome AI Researchers, Applied Scientists, Machine Learning Engineers and Software Engineers with experience in large-scale systems and AI/ML to join Foundation AI, a new group focused on developing open-source LLMs (large language models) and other AI technology for cybersecurity.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. You'll have the chance to build cutting-edge models and AI systems for cybersecurity. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of Generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!
Develop and train cutting-edge AI models for the security domain.
Develop a platform for AI data processing, training, fine tuning, evaluation and other AI related needs.
Develop agentic systems that automate and uplift security operations.
Author blog posts, white papers and research papers related to developments in AI for the security landscape.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into products.
Contribute to our groups culture as an early member of the team.

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

Overview:

We are looking for a hands-on senior engineer to own the end-to-end productionization of Real-Time video systems and AI pipelines.

This role is not research and not model invention.

You will take existing computer vision models and algorithmics and integrate them into production, turning them into high-performance, scalable, production-grade systems running across hundreds of concurrent video streams on GPU and edge hardware.

You will work at the intersection of:

Python microservices backend development
video streaming using GStreamer and NVIDIA DeepStream
Distributed and multithreaded development
Real-Time inference
AI pipeline/processing optimization
Deploy and accelerate CV and AI models using CUDA, TensorRT, PyTorch, OpenCV

This is a deeply engineering-focused role with real ownership.