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we are looking for a AVI Operation Manager.
The Operations Manager of the AVI Department is responsible for leading the department, overseeing day‑to‑day interactions with fuel companies, subcontractors, suppliers, and direct customers.
The role includes maintaining and improving the operational infrastructure, while aiming for excellence in quality, service, and execution.
The AVI Operation Manager maintains constant communication with the companys customers to ensure a high level of service, expectation alignment, and customer satisfaction.
As a central point connecting multiple internal and external stakeholders- employees, customers, subcontractors, and others- the role requires strong interpersonal communication skills and the ability to execute multiple tasks under tight deadlines.
The manager is also responsible for the logistical management of company inventory, supervising the transfer and distribution of goods to service stations.
A key responsibility is driving quality control, process improvement, and cost‑reduction initiatives when working with subcontractors and service stations.
Responsibilities :
Work directly with senior‑level customers
Manage multiple subcontractors across regions
Oversee quality control of RFID AVI installations
Monitor and ensure high service quality standards
Direct management of a field technicians team
Direct management of a remote support center
Analyze data across multiple operational segments
Manage inventory logistics and stock levels
Define goals, monitor KPIs, and ensure ongoing control
Implement clear performance indicators (SLA, quality, profitability)
Manage relationships with large installation centers, automotive importers, and leasing companies
Lead a hybrid team (field technicians + service center staff)
Build processes and implement operational controls

Required Performance Architect
Job Description
What You'll Do
Join our Silicon One architecture team, the core of silicon development. Our architects manage all aspects of system chip development and provide specifications to various development teams. In this role you will:
Define the features and specifications of future devices.
Utilize a data-driven approach to model and analyze networks of tomorrow, providing optimal solutions for our customers.
Model, analyze, and present simulation results for cutting-edge networking solutions across various use cases.
Apply strong networking research skills and a robust theoretical background to your work.
Who You'll Work With
You will be part of our Silicon One architecture team, which is central to our ASIC group.
Our team, which operates with a startup mentality within a stable and leading corporation, drives the development of next-generation networking devices-Silicon One.
Our design center is unique, hosting all silicon hardware and software development disciplines at one site. We are revolutionizing the industry by building a new internet for AI networks and the 5G era, with a unified, programmable silicon architecture that will underpin all of our future routing and switching products.
Our devices are engineered to be adaptable across service providers and web-scale markets, designed for both fixed and modular platforms. They deliver high speed without sacrificing programmability, buffering, power efficiency, scale, or feature flexibility. Silicon One is set to be a transformative technology for decades to come.

Required Senior Electrical Post Silicon Validation- Silicon One
Job Description
Meet the Team
We are a dynamic group of engineers dedicated to pushing the boundaries of technology. Our mission is to validate and drive the performance of Silicon One products, ensuring they meet the highest standards of quality and reliability.
Operating at the forefront of technology, we work with latest, high-speed, and power-hungry devices. Our small, but highly influential team thrives in this challenging environment, applying our expertise to impact the future of networking technology. With a commitment to excellence and a passion transformative technology, we are shaping the future of high-performance Networking and delivering unparalleled value in every project we undertake. Join us, and be a part of a team where professionalism meets impact!
Your Impact
Drive the resolution of complex silicon performance and characterization issues through deep, multi-functional collaboration with architecture, design, and software teams. Leverage these technical insights to provide critical feedback that directly influences the design, debuggability, and architectural specifications of future silicon components
Key Responsibilities:
Lead the Electrical Post Silicon Validation efforts for Silicon One products, focusing on high-speed and power-intensive devices. Collaborate with multi-functional teams to drive the silicon validation process, from architecture through to physical design and DFT. Analyze and interpret characterization data to guide design improvements and ensure product excellence. Develop and execute test plans to validate silicon performance and reliability against stringent specifications. Troubleshoot and resolve issues related to silicon performance and characterization.
Why Join Us:
Be part of team at the forefront of silicon technology, working on the most advanced products in the market. Work closely with some of the best engineers in the industry, driving innovation and excellence in silicon characterization. We are a fast growing team that values talent and provides ample opportunities for professional development and career advancement.

A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.

Develop and maintain internal EDA tools and frameworks for RTL assembly and connectivity checking.
Implement efficient algorithms for hierarchical RTL construction, module binding, and interface consistency across complex SoCs.
Build intelligent connectivity, visualization, and debug utilities.
Collaborate with front-end design, DFT, and integration teams to align methodologies and define tool requirements.
Drive automation and performance improvements, including runtime optimization and scalability across large designs.
Support adoption, documentation, and user training for internal design teams.