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The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on NextSilicons unique hardware architecture-unlocking a new level of performance.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

We are looking for a Team leader for our File Secuirty Core team to join our threat detection engines group.
You will develop our companys industry-leading sandbox solution in charge of the prevention of zero-days malware reaching the market.
You will work in multiple environments, large-scale cloud (AWS) microservices and on-prem solutions, a multiple development languages, and research the latest malware that exist in the wild.
We operate as an independent developing unit that enjoys flexibility, the option to make a big impact, and meaningful challenging work along with access to our companys malware research resources.
Key Responsibilities
Lead a team of developers that are both experts in development and Malware research.
Research malware behavior and evasion techniques across all stages of the malware kill change from exploitation and infection to impact.
Hands-on development in C++/Python on multiple environments.
Design and develop mechanisms to detect suspicious and malicious activity on OS internals.
Collaborate cross-functionally with data scientists, project managers, and researchers.
Get experience with developing in a cloud-based and on-prem infrastructure.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

Responsibilities
Develop our AI graph compiler and related components in the SW stack.
Drive the performance of AI models running on our unique architecture.

As a Staff Software Engineer, your impact is measured not just by the code you ship, but by your ability to foresee and prevent complex technical challenges before they arise. You will set the technological direction and elevate the performance of everyone around you.

In this role, you will operate with a cross-team perspective, looking beyond individual features to oversee entire systems, their integrations, and the department's long-term technical roadmap. You are a master at navigating ambiguity, taking high-level business goals and translating them into robust, scalable architectural solutions.

Specifically, your focus will be to:

Drive Strategic Architecture: Act as the "Technical Right Hand" to senior leadership of TI, providing the insights and technical strategy needed to make critical business decisions.

Solve High-Ambiguity Problems: Lead the discovery and execution of complex, unique technical challenges that lack a clear roadmap, ensuring they are resolved with long-term stability in mind.

Establish Engineering Excellence: Shape the engineering culture by setting gold standards for code quality, CI/CD processes, and testing frameworks. You will be responsible for authoring comprehensive Design Docs that streamline development and prevent costly architectural mistakes across the organization.

Mentor and Scale Talent: Act as a dedicated mentor to Senior Engineers, fostering a culture of continuous learning and technical growth.

Bridge the Gap: Align technical execution with product vision, ensuring our engineering efforts are always moving the needle for our customers.

We are seeking a top notch software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.

As part of the memory system team, you will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications in the Maverick accelerator runtime environment.

You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.

Responsibilities
Work on design and implementation of new and enhanced features of the memory system for the Maverick accelerator.
Develop a high performance, low latency distributed unified virtual memory management system.
Work on system software support for the next generation Maverick system.
Define feature development scope and plan for successful product delivery.
Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders.

Join our engineering team and build the future of cyber-risk remediation, where security isnt about alerts, its about action.
With us, youll move fast, iterate boldly, and scale globally.
Role Overview
As a C++ Tech Lead on our Agent team, youll design, build, and optimize our real-time endpoint agent using modern C++ across Windows, Mac, and Linux environments. Youll collaborate closely with product, backend, and security teams to drive end-to-end feature development, leveraging deep OS internals knowledge to protect real-world customer environments.
Responsibilities:
Develop a real-time agent (written in C++) that collects massive amounts of data from endpoints, leveraging cutting-edge technologies, and getting familiar in-depth with the OS internals.
Commit to full E2E feature development - from planning to automation.
Design and develop solutions in collaboration with multiple dev teams.

We are looking for a talented and experienced engineer to participate in designing the next era of computer architecture. In this position you will take part in designing the critical parts of our future chips. You will transform architectural requirements to micro-architectural specs, implement key blocks in RTL, and participate in post-silicon activities.

Responsibilities
Define and drive the design of advanced blocks from micro-architecture phase to netlist.
Support timing and constraints definitions work closely with the BE team on timing and physical implementation efforts.
Leading processes relating to power optimization.
Technology expert, building a knowledge base for the group.
Work with various teams to drive execution (SW, Architecture, verification, BE, etc).
Devise execution indicators and monitor and report execution progress to enable prioritization and clear decision making.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.