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Were looking for a Senior Product Manager to own and scale image factory. Youll design systems that handle artifact updates automatically and reliably at scale.
Responsibilities:
Own the product roadmap for image factory - the internal system that builds, tests, and releases images, libraries, packages, and charts at scale.
Work with DevOps, platform, and backend engineers to define and prioritize internal tooling and workflows that increase automation, reliability, and throughput across the build pipeline.
Turn operational pain points into product requirements that reduce manual work and streamline releases.
Use build and dependency data to identify bottlenecks, measure performance, and guide continuous improvement.
Ensure the factory evolves to support thousands of images, hundreds of thousands of tags, and millions of libraries with consistency and speed.

we are looking for a Sales Engineer.
As a Sales Engineer , you will act as the technical expert and trusted advisor throughout the sales cycle. Youll partner closely with Sales, Product, and Engineering to demonstrate value, translate customer needs into technical solutions, and help close strategic deals.
Responsibilities:
Partner with Account Executives throughout the full sales cycle, from discovery to close
Lead technical discovery calls to understand customer environments, challenges, and requirements
Deliver compelling product demos and presentations tailored to customer use cases
Design and explain technical solutions that align with customer needs and business goals
Answer technical questions, handle objections, and support RFPs / security questionnaires
Act as the voice of the customer, providing feedback to Product and Engineering teams
Support proof of concepts (POCs) and trials, ensuring successful evaluations
Stay up to date on Echos product, roadmap, and competitive landscape

we are looking for a Senior Backend Developer.
This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power data platform, enabling reliable, scalable, and efficient data processing across the organization.
Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow
Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value
Design and build core micro-services, laying the foundation for our product and internal platforms
Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications
Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds

In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

In this role, as Senior Team Leader of the AI NPU Simulator, you will lead a Group developing a major part of AI simulation framework, in the core of our AI software offering. The AI NPU simulator enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company.

You will drive the development of robust, scalable, and efficient simulation software, working closely with global Architecture, VLSI, and Software teams to shape next generation of AI solutions.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading software teams, and a track record of delivering complex, state-of-the-art products on time and with high quality. The ideal candidate is execution-driven, innovative, and passionate about building high-performing teams and cutting-edge AI technology.



Responsibilities

Manage and lead two teams (Development + Validation) .

Be accountable for the simulation lifecycle, including architecture, development, validation, and release.

Lead development of advanced simulation models for AI processors.

Own delivery of complex, multi-release roadmaps.

Ensure strong alignment between hardware design, compiler behavior, and simulation models.

Drive system-level correctness and performance accuracy.

Support system bring-up, debugging, and customer-facing activities when needed

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation.

In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.

The project is using C/C++ OOP as main development language as well as python for AI neural network.

Development platforms are Linux and Windows based.

Responsibilities:

Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.

Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading VLSI Front-End Design engineers, and a track record of delivering complex, state-of-the-art products on time and in production ready quality.

The ideal candidate is execution-driven, innovative, and passionate about building high-performing team and cutting-edge AI technology.

Responsibilities

Manage and lead a team of Front-End Design engineers.

Be accountable for the teams development lifecycle, including architecture, development, validation, and release, focusing on meeting PPAA targets.

Lead development of advanced VLSI IPs for AI processors, DSP and HW accelerators while continuing pushing the VLSI design methodologies, procedures, sign off and AI tools assimilation to its next level.

Support system bring-up, debugging, and customer-facing activities when needed

We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over AI computing processors.

Responsibilities

Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.

Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.

Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.

Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.

Represent with high technical credibility in customer meetings, appropriately incorporating feedback.

Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.

Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.

Engage with engineering leadership and product planning stakeholders to develop technology roadmap.