דרושים » הנדסה » Software Engineer - Maths & Systems

We are looking for a talented Game SDK Engineer (C++) to join our growing Game SDK team . In this role, you will play a key part in shaping the future of how games connect to our platform.
As a member of the SDK team, you will design, build, and maintain a high-quality SDK for game engines like Unreal or Unity, enabling seamless integration of games with the platform. Youll collaborate closely with both internal teams and external game developers.
This position offers the opportunity to work on technically challenging projects such as real-time networking, game-to-cloud communication, and performance optimization for multiplayer experiences. You will be expected to write clean, efficient, and maintainable C++ code, while also contributing to the overall architecture and evolution of our SDK.
What youll do:
Design, develop, and maintain a robust C++ SDK that powers the integration of platform into AA and AAA games. You will focus on creating highly efficient, reliable, and scalable code that meets the technical demands of modern game production.
Build and extend plugins for multiple game engines-including Unreal Engine and Unity engines-ensuring seamless compatibility and easy adoption for diverse development environments.
Collaborate directly with game studios and co-development partners to understand their unique requirements and adapt SDK functionality to fit their workflows and engine specifics. You will act as both a technical contributor and a trusted partner to external teams.
Implement new features with a focus on usability, performance, and scalability, ensuring that integration is straightforward for developers while maintaining low overhead and high efficiency in live game environments.
Participate in code reviews, testing, and optimization, driving quality standards and ensuring the SDK performs reliably across a variety of platforms and use cases.
Contribute to the evolution of SDK architecture, proactively identifying opportunities to improve maintainability, flexibility, and long-term scalability.
Stay up to date with emerging technologies and industry trends in game development, helping guide the team in adopting tools and practices that will keep our SDK best-in-class.

Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

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.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Software Engineer on the Security Intelligence & Engagement team, youll be part of a domain responsible for closing the loop between security insight and action across the platform.
Our team builds the systems that transform large-scale cloud security data into meaningful risk insights, such as risk scores, trends, and contextual signals, and the experiences that drive customer response, including alerts, notifications, and guided remediation missions.
Youll work on scalable backend services and distributed systems that power how security insights are generated, aggregated, and delivered to users. The team operates across multiple product domains to ensure that insights lead directly to action, enabling customers to prioritize and resolve risks effectively.
This role is a great opportunity to work on high scale cloud security systems, collaborate across teams, and contribute to building reliable services that sit at the center of platform.
On a typical day youll:
Design and implement backend services that generate and deliver security insights and engagement workflows
Write clean, maintainable, and well-tested code that meets production quality standards
Build scalable systems that process and aggregate large volumes of cloud security signals
Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
Troubleshoot and resolve complex system issues while improving system reliability and observability
Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
Implement new features following Agile development practices and established engineering standards
Continuously improve system performance, scalability, and maintainability

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

We are seeking a hands-on Software Engineering Team Leader to provide technical leadership and coordination for both on-site engineers and outsourced software development teams.

The role requires a strong technical leader who remains actively involved in engineering work, ensuring high-quality software delivery, architectural alignment, and efficient collaboration across development and QA teams.

The Team Leader will oversee work across embedded systems, Linux applications, Windows applications, and QA, while contributing technically through code reviews, troubleshooting, design guidance, and occasional development.

The role should also promote and utilize AI-driven tools and capabilities throughout the R&D development processes to improve development efficiency, code quality, testing, and engineering productivity.

Key Responsibilities

- Provide technical leadership and day-to-day oversight of both on-site engineers and subcontracted development teams.

- Act as a hands-on technical authority, capable of reviewing, debugging, and contributing to code when required.

- Perform code reviews, architecture reviews, and design validation.

- Ensure adherence to coding standards, development processes, and quality requirements.

- Coordinate work across embedded, application, and QA teams.

- Monitor progress, identify risks, and ensure alignment with project milestones.

- Promote and implement AI-assisted development practices across R&D processes (e.g., development acceleration, code quality, testing automation).

- Serve as the technical interface between engineering management and development teams.

Team Scope

The role will oversee engineers working across the following domains:

- Embedded Software - Embedded C.

- Linux Applications - C++, Qt.

- Windows Applications - C#, .NET- advantage.

- Quality Assurance / QC.

The team includes a mix of internal engineers and subcontracted developers including software engineers, embedded developers, QA engineers, and project coordination.

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

we are looking for a Fullstack Engineer to join our team and help build scalable, high-performance web applications that power our digital advertising platform. In this role, you will work across the entire stack, developing modern frontend interfaces with Vue.js and robust backend services using NestJS and TypeScript. Youll collaborate with cross-functional teams to design, build, and optimize applications that process large-scale data and deliver innovative solutions to global brands and publishers.
Responsibilities:
Develop full-stack applications using Vue.js, NestJS, and TypeScript.
Design and build RESTful APIs with authentication, authorization, and RBAC.
Create reusable Vue components and maintain scalable, maintainable backend services.
Write clean, well-documented code and participate in code reviews.
Debug, troubleshoot, and optimize applications across the entire technology stack.
Collaborate with cross-functional teams to deliver high-quality product features.

We are seeking a skilled and motivated Software Engineer (Automation Infrastructure) to join our team. This role is primarily focused on designing, developing, and maintaining robust automation frameworks and ensuring seamless integration with external systems and partner teams. The ideal candidate will have a strong background in infrastructure automation, excellent problem-solving skills, and a collaborative mindset.
Responsibilities
Design, build, and maintain efficient and reliable automation frameworks.
Implement, test, and bug-fix automation scripts and tools.
Write clean, scalable, and testable code for infrastructure automation.
Participate as a team member in fully agile Scrum deliveries.
Coordinate with other software professionals and developers.
Provide support to end users for automation tools and frameworks.
Collaborate with external teams and third-party vendors to implement integration solutions.
Remain up to date with the terminology, concepts, and best practices in infrastructure automation.