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We are seeking an experienced Security Architect who has experience in confidential computing and attestation systems. The ideal candidate should have deep expertise in at least one leading confidential compute architecture and ideally in PCIe support around TDISP, IDE, SPDM. Strong knowledge of general system security, virtualization and hardware-enforced isolation primitives is essential.

What you'll be doing:
Lead, research, design, develop, and implement solutions for next-generation confidential computing network devices.
Develop novel hardware isolation mechanisms to provide defense in depth in the SoC.
Collaborate with external and internal hardware and software teams to implement and deliver the architecture.
Architectural modeling, validation, microarchitectural definition, and developing proofs-of-concept for secure platforms.

Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team as a Senior Power and Performance Architect - Networking, influencing the future of our network systems.

What you'll be doing:
Develop, model, and validate groundbreaking power and performance optimization techniques for network fabrics, components (NICs, Switches), and systems. Collaborate closely with cross-functional teams including silicon design, system architects, software/firmware engineers, performance analysts, thermal engineers, and AI researchers to ensure end-to-end power and performance optimization. You will determine strategies that successfully implement flawless performance and power efficiency in our ambitious projects!

We are seeking a technical leader to define, craft, implement, and guide firmware architecture for reliability, availability, serviceability, and power management across next-generation Networking products and platforms. You will take a strong hands-on role, working with hardware, firmware, software, validation, customer engineering, and external partners to build robust, diagnosable, power-efficient systems for large-scale deployments.

What you'll be doing:

Define platform-level firmware architecture for RAS and power management across SoCs, accelerators, DPUs, servers, embedded systems, and data center platforms.

Own error detection, classification, containment, recovery, escalation, and reporting architecture.

Define firmware architecture for power sequencing, power states, reset flows, thermal and power fault handling, idle management, and recovery from power-related failures.

Create firmware specifications for hardware error handling, health monitoring, crash capture, telemetry, diagnostics, debug data, and field serviceability.

Define interfaces and contracts between firmware, hardware, operating systems, BMCs, management controllers, platform software, and cloud/service infrastructure.

Drive architecture reviews, tradeoff discussions, failure-mode analysis, validation strategy, and long-term RAS and power management roadmap planning.

Establish standards for error logs, event schemas, telemetry flows, recovery policies, service diagnostics, and production debug infrastructure.

Guide engineering teams through implementation, validation, silicon bring-up, platform integration, and production deployment of RAS and power management features.

Analyze customer and field failures, identify architectural gaps, and feed lessons learned into future platform designs.

Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our Engineering team works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most sophisticated semiconductor chips. We are looking for an experienced DFT Engineer to join the ATPG team. The position includes taking part in development of the next generation DFT technologies and working closely with a wide range of our groups and aspects - chip design, backend, verification, and production testing.



Working on the most advanced technologies and complex products, our DFT solution are unique and innovative internal developments, and we are continuously improving and evolving the solution to meet the challenging goals. If you find groundbreaking Technologies, and next generation products interesting, then this is the team for you. Take opportunity to join our team for an exciting and educational environment, where every individual has significant contribution to our products and achievements!



What youll be doing:

You will be in charge of state of the art Design for Test/ATPG flows and implementation.

Take full ATPG ownership end to end on a project, from Arch & planning to pattern generation, verification and post Silicon bring up and diagnosis.

Inventing and maintaining automation flows that provide the short test time to production.

We are currently looking for a Connectivity Manager to join our amazing team.

The Connectivity Manager oversees global IoT connectivity and messaging platform operations. This role manages relationships with mobile network operators (MNOs/MVNOs), connectivity providers, and external messaging platform suppliers, ensuring reliable device connectivity and communication services across all markets. This role is critical to success as connectivity and messaging are the foundation of our payment platform and telemetry services, supporting 1.5M+ devices across 100+ countries.

Key Responsibilities:

Strategy & Planning

Develop and execute global connectivity strategy for cellular and emerging technologies
Lead 2G/3G network sunset transitions and migration strategies to ensure zero customer disruption
Develop and implement comprehensive eSIM and redundancy strategies for business continuity
Benchmark messaging platform suppliers on performance, pricing, delivery rates, and global coverage to ensure is always on the best available solution
Vendor & Supplier Management

Manage strategic relationships with MNOs (Verizon, POST, Telenor, Partner, Telstra) and MVNOs (Telit, Webbing), ensuring SLA compliance, commercial terms, and network performance across all regions
Manage external Messaging Platform suppliers: own the vendor relationship, SLA performance, and contractual compliance with current provider (Twilio) and potential alternatives (e.g., Infobip)
Negotiate contracts, pricing, and SLAs with connectivity providers and messaging suppliers across regions
Oversee SIM lifecycle management including procurement, activation, and deactivation
Cost Reduction & Invoice Management

Drive aggressive cost reduction initiatives and optimize data plan management across the device fleet
Manage and monitor monthly invoices from all connectivity and messaging platform suppliers - ensuring accuracy, flagging discrepancies, and tracking spend against budget
Identify opportunities for renegotiation, consolidation, or supplier switching to reduce total cost of ownership
Track and report connectivity and messaging spend trends to leadership

We are seeking a Senior AI Engineer to join a talented and fast-moving AI Engineering team. We're the central hub for AI across, driving innovation and putting AI to work for every team and product in the company.
AI already plays a foundational role in how we operate. It lets us ship features quickly and at scale, equips non-technical team members with tools that boost their productivity, and underpins much of the innovation happening across the company today.
If this kind of environment excites you - and if you believe great engineering means crafting the most effective and elegant solution within real-world constraints - we'd love to hear from you.
What You'll Be Doing:
Design, build, and maintain reusable AI capabilities - spanning models, tools, APIs, and platforms that support both internal operations and customer-facing products.
Develop and maintain our internal MCP server, giving AI agents easy and secure access to our extensive data stores.
Create and implement rigorous evaluation frameworks and AI guardrails to protect our value and ensure model reliability.
Cultivate deep expertise and establish sustainable AI engineering practices across the organization.
Champion AI readiness and track adoption company-wide to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Own projects end to end - from gathering requirements from non-technical stakeholders through development, deployment, and ongoing operation.
Serve as a consultant and advocate for AI engineering, guiding other teams in leveraging the platforms and tools you create.
Collaborate with teams throughout to accelerate AI adoption and productization.

We're hiring a software engineer to work directly with our business teams - finance, sales, legal - building tools and automations that help them do their jobs better. You'll write production code and own what you build, but most of your time will be spent understanding business processes and how to impact them.
Most business teams have more day-to-day operational pain than they realize, and a lot more they could be doing with AI than they know. Your job is to find those gaps and build something that fixes them. Success looks like the team being able to move faster and spend their time on the work that matters, because everything else just runs.
You'll have a lot of autonomy in this role. You'll decide what to work on, build it, ship it, and see whether it actually made a difference. You'll be doing this as part of a small, senior AI team, so while the day-to-day work is independent, you'll have other engineers to collaborate with and a shared bar for how we build things.
What You'll Be Doing:
Build & Engineer:
Take the lead on technical implementation and be the owner of how it all works - picking the right tool for the job (code, no-code, or otherwise) and keeping the knowledge of the system in your handsDesign and deliver end-to-end AI solutions - from first stakeholder conversation through production deployment and iteration
Implement LLM-powered systems: RAG pipelines, AI agents, multi-step automations, and tool-integrated workflows
Integrate solutions with enterprise systems (Salesforce, NetSuite, Slack, Data platforms) and build for production: observable, reliable, and cost-optimized
Embed With the Business:
Work directly with Finance, Sales, HR, Legal, and Customer Success to identify and scope high-leverage AI opportunities
Translate ambiguous business needs into concrete engineering plans; own both the solution definition and the build
Help business stakeholders develop AI fluency and become stronger partners over time

We are looking for a highly skilled AI Engineer to join an advanced R&D environment within the security sector.
Responsibilities:
Develop advanced Python-based systems and integrate a variety of AI models into software solutions.
Implement and deploy AI models in On-Premise environments, including full integration within existing systems.
Work closely with a multidisciplinary team in a dynamic, innovative technological environment.

we are looking for an experienced DevOps Engineer with an ability to deliver, implement and design complex solutions to join a cutting-edge technology team!
We are seeking a highly skilled DevOps professional with strong hands-on experience and a proven track record of building DevOps infrastructures from the ground up.
This role combines technical leadership with hands-on execution and offers the opportunity to drive the design and implementation of modern DevOps practices in complex environments.
🚀Join us and take part in building advanced DevOps platforms, modrn cloud infrastructures, and innovative technology solutions in a dynamic and challenging environment.
Responsibilities:
✔ Lead the design and implementation of DevOps infrastructure from scratch, including automation frameworks and deployment pipelines.
✔ Build, maintain, and optimize scalable CI/CD processes for microservices-based architectures.
✔ Design and manage cloud-native and hybrid infrastructures, with a strong focus on AWS environments.
✔ Deploy and operate containerized applications using Docker and Kubernetes.
✔ Work closely with Development, QA, and Security teams to deliver reliable and efficient solutions.
✔ Implement monitoring, logging, and observability solutions to ensure system reliability and performance.
✔ Support production environments, troubleshoot issues, and continuously improve operational processes.
✔ Drive best practices around automation, scalability, security, and infrastructure management.

mPrest is looking for an experienced and highly proactive Security & Network Engineer to join our Global Core Infrastructure team. You will be responsible for the design, operation, and continuous improvement of our network and security infrastructure, with a strong focus on automation, performance monitoring, and modern security principles.

Responsibilities:
Full Network Lifecycle Management: Design, implement, and operate high-availability network and security infrastructure. Proactive Monitoring & Performance: Implement and maintain monitoring solutions (Prometheus/Grafana) to identify bottlenecks and resolve issues before they impact business operations. Security & Audits: Maintain security inventories, perform regular infrastructure audits, and ensure compliance with corporate security requirements. Perimeter & Access Security: Define and maintain robust perimeter defense and secure access controls (Client-to-Site VPN) within a FortiGate environment. Automation: Drive the modernization of network operations by automating routine tasks and configurations.

We're hiring an exceptional Applied AI Scientist to join our team!

In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across Tipalti's core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.


In This Role, You Will Be Responsible For


Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.