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We are seeking a highly skilled and experienced Algorithm Python Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

Responsibilities
Design and implement compiler passes and optimizations across the full compilation pipeline.
Improve output quality: resource utilization, communication cost, and execution latency.
Debug and fix correctness issues and regressions in a multi-stage compiler.
Develop and maintain algorithms such as graph clustering and graph alignment.
Write thorough unit and integration tests and maintain CI health.
Participate in design reviews and contribute to technical decisions.

We are looking for talented networking software engineers to develop an innovative new communication stack. Were starting from the ground up, rethinking existing protocols and network accelerators while designing both hardware and software for a new low-latency compute platform. We care about results and insist on doing things right. Our engineers are not siloed into narrow areas; our ideas are cross-fertilized among teams. Our technical backgrounds are diverse and we don't have preconceived approaches or cookbooks, so come and invent! The hardware teams are just a few steps away and really like hearing our ideas. This is a unique opportunity to develop creative solutions from concept to implementation.

Responsibilities
Take part in developing a networking stack from the ground up:
Network device drivers.
Hardware-tailored packet-processing suite.
User-space libraries and benchmarks for low-latency communication.
Customer-facing APIs: both complying with standards and forging our own path.
Find the fastest ways to process incoming network packets on NextSilicons hardware platform.
Analyze customer applications and explore creative ways to accelerate them in hardware or software.
Work closely with the hardware teams to offload key features into the next generation of products.

We are seeking an experienced and highly skilled Software Engineer to join our Runtime Software group. In this role, you will drive the development of the full software stack and architecture behind our revolutionary coprocessor. You will be challenged to deliver high-performance, system-wide solutions, requiring a deep understanding of complex architectural trade-offs and distributed systems.

As a core team member, you will design and implement infrastructure that enables our unique hardware to accelerate diverse applications at scale. You will collaborate across disciplines - working with hardware engineers, compiler developers, and system architects - to optimize execution in a massive, multi-process, and multi-threaded environment.

Responsibilities
Design and implement next-generation runtime architectures and infrastructures to support evolving product requirements.
Develop environments for the acceleration of massively parallel applications, managing complex process and thread lifecycles.
Define development scopes and roadmaps to ensure the successful delivery of robust software features.
Partner with hardware and compiler teams to bridge the gap between silicon capabilities and software performance.

ThreatCloud AI is the intelligence engine powering our company's entire security ecosystem. We're looking for a talented, passionate and highly motivated software developer who gets excited about building mission-critical systems that can't go down.
You'll architect and scale cloud-native services that analyze threats and stop attacks as they happen - not tomorrow, not in five minutes, but now. Every line of code you write directly impacts the security of enterprises worldwide, operating at massive scale with zero tolerance for downtime.
Key Responsibilities
Design, develop and maintain real-time threat detection services that operate at global scale
Build distributed systems using a mix of relational and non-relational databases to handle high-velocity threat intelligence
Apply cloud deployment best practices to ensure high availability and performance under extreme load
Collaborate in an agile environment where your technical decisions directly impact customer security.

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.

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.

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.

We are seeking a Lead Software Engineer to join the AI Workspace team at Tricentis. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
What You'll Do:
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions

As an xEngineer in the Automations team, you'll play a pivotal role in shaping the company Automations platform, used by millions of users and various internal and external applications. Your work will directly impact the revenue of both our company and our users.
In your day-to-day, you will:
Take projects from ideation to production, including technical design, coding, and beyond
Design and build scalable backend systems using modern technologies and best practices
Participate in designing APIs, mechanisms and abstractions for the Automations platform
Develop new solutions and improve existing ones in areas such as production, testing and performance
Collaborate closely with a highly experienced team.

You will join the Identity group at our company, building the platforms and systems that power identity, authentication, and authorization across all our company products and services. You will handle the largest scale that our company has to offer, serving millions of users, and provide a seamless infrastructure both to our company users and to developers inside the organization,
You will:
Balance seamless experience, with scale, consistency, security and speed - providing the best infra
Be the gatekeeper to all interactions of users with our company, being involved in every step that the user goes through in their journey
Impact every large initiative of the organization, be involved in major breakthroughs and milestones, enable the growth and expansion of the platform
Gain knowledge and lead a world of standards, including owning in depth integrations and well known protocols such as OAuth2, OIDC, SCIM.

Were looking for a strong senior engineer who doesnt just write code - but takes full ownership of systems, drives decisions, and delivers meaningful impact. As a Senior Full Stack Engineer, youll take ownership of key areas in our platform, working on complex features that span multiple services and domains. Youll be expected to quickly ramp up on existing systems and deliver high-quality solutions end-to-end.
In this role, youll operate with a high level of autonomy - identifying problems, driving solutions, and maintaining a strong attention to detail in both system design and user experience. Youll be part of a strong engineering team building a scalable product, with real influence over technical decisions and architecture.

As a Frontend xEngineer, youll design and own end-to-end user experiences that impact over 200 million users, working with an AI-native focus to craft high-quality, scalable, and resilient frontend products. In your day-to-day, you will:
Design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and user experience to APIs, data models, and production systems
Focus on frontend architecture, making thoughtful trade-offs around performance, scalability, accessibility, and long-term maintainability
Apply AI-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
Work with modern technologies and platforms (e.g., TypeScript, React, Node.js, Java, cloud, and CI/CD), continuously evolving your toolkit with AI-powered tools
Lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
Collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health.

As a Fullstack Infrastructure engineer in the Frontend guild, you'll build tools used by every frontend developer at our company to improve velocity and quality. You'll take projects from ideation to production, work with cutting-edge full-stack technologies, and be part of a highly experienced infrastructure team.
In your day-to-day, you will:
Build tools to improve developer velocity and code quality
Create and own solutions in areas like production testing and performance
Use AI as an integral part of your day-to-day development - from coding and testing to design and decision-making
Take projects from ideation to production, including technical design and coding
Work with modern full-stack technologies and industry-leading tools
Collaborate with experienced colleagues on impactful infrastructure projects
Influence developer-centric tools at every level.