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Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

Were seeking a motivated, detail-oriented Front-End Engineer to craft seamless, high-performance experiences across browsers and WebViews , youll work in a dynamic environment that brings together web front ends, backend services, and machine learning into a unified, complex system. This is an ideal role for engineers eager to make a substantial impact on a technically challenging product in a fast-paced setting.
What you'll be doing
Build and maintain React-based SPAs and NX-powered micro frontends
Implement high-quality TypeScript, HTML, and CSS
Translate Figma designs into reusable, responsive components and design systems
Optimize for WebView and multiple browsers, ensuring cross-platform consistency
Collaborate with product/design to iterate quickly and ship value

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.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.

You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.



What will you do:

Develop and enhance AI graph compiler components targeting NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.

Key Responsibilities:

Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

Own and design key components of the Edge AI 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.

We are looking for a talented Senior Backend Developer to join our growing team and lead the architecture and scaling of our real-time, high-performance platform. You will be responsible for designing and implementing critical backend systems that support millions of users while ensuring ultra-low latency, high availability, and seamless performance.

This is a high-impact role where you'll work on cutting-edge backend solutions for cloud-scale gaming infrastructure.

What You'll Do

Architect and develop highly scalable, distributed backend services to support real-time gaming interactions.
Optimize performance and reduce latency in microservices-based architectures handling millions of concurrent users.
Ensure high availability, fault tolerance, and efficient resource utilization in a cloud-based environment.
Design and implement high-throughput data pipelines for real-time event processing.
Develop and manage robust APIs, databases, and caching layers to efficiently handle gaming sessions.
Work in an agile, fast-paced environment, taking ownership of core backend services.
Mentor and guide team members, fostering engineering excellence and knowledge sharing.

We are seeking a Software Engineer Team Lead with strong C++ hands-on experience. In this role, you will guide, mentor, and empower your team of C++ engineers and game engineers familiar with Unreal and Unity, while also contributing directly to the development of our software development kit. The ideal candidate for this role is someone with a wealth of experience in C++ development, and team leadership, but who also continues to find joy in coding and developing SW products.



What you'll do

Lead the SDK team, which consists of C++ engineers and game engineers familiar with Unity and Unreal Engine.
Leverage generative AI tools to accelerate code development and enhance productivity.
Develop and maintain the architecture of the SDK, ensuring it remains scalable, robust, and user-friendly.
Guide the team through the entire SDK development lifecycle, from design to release, ensuring that each process aligns with our high-quality standards.
Work directly with game studios to understand their needs and ensure seamless SDK integration.
Contribute to coding and development tasks alongside the team, serving as a role model for high-quality software engineering.
Communicate effectively with cross-functional teams and stakeholders.
Keep abreast of the latest industry trends and technologies to lead our SDK best practices to be innovative and competitive.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Take part in developing agentic capabilities.
Mentor, support, and guide junior team members, sharing expertise and fostering their professional development.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply and be responsible for best practices in data security, integrity, and performance across all systems.

Write clean, scalable, and reusable code while enforcing best practices around architecture, code reviews, and testing
Collaborate with product owners to understand requirements and take full ownership from design and implementation through test automation and production deployment.
Design and implement new systems and features while enhancing existing systems with new capabilities
Mentor colleagues and promote knowledge-sharing+

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

We are looking for a Technical Leader to lead the technical evolution of this group as we transition toward Native AI and Agentic architectures across both product and engineering. This role reports directly to the VP of Engineering and will play a critical role in shaping how AI-first and agent-driven systems are embedded into core event pipeline.
Youll combine deep technical leadership, hands-on architecture work, and strong cross-functional influence to guide the team through this transformation - while maintaining the performance, reliability, and scale our customers depend on.

What You Will Do
Lead the technical direction of the Event Management group, owning architecture and long-term evolution
Drive the transition of core event processing systems toward Native AI and Agentic solutions, including AI-driven enrichment, correlation, decision-making, and automation
Partner closely with Product, Data, and AI teams to translate product vision into scalable, production-ready systems
Design and review high-scale, high-throughput backend systems handling millions of daily events
Mentor and grow engineers, fostering a culture of technical excellence, ownership, and pragmatic innovation
Act as a technical thought partner to engineering leadership, contributing to org-wide architectural decisions
Balance innovation with operational rigor, ensuring reliability, performance, and security throughout the transition
Contribute to a culture of technical excellence, collaboration, and continuous improvement

This role is designed for a researcher who is "hands-on." We value deep theoretical knowledge, but we require the ability to translate that theory into productive, working code within a limited timeframe.

What youll be doing
Long-Horizon Research: Lead specific, deep-dive research initiatives that require advanced methodology (e.g., novel anomaly detection architectures or LLM-based reasoning for security threats) without the pressure of daily sprint cycles.
LLM Innovation: Design and prototype advanced LLM workflows (RAG, Agents, Fine-tuning) to solve specific security challenges that standard APIs cannot handle.
Academic-to-Industry Bridge: Act as a knowledge hub for the team; bring SOTA academic concepts, recent paper findings, and novel techniques into the teams toolkit.
High-Impact Prototyping: Build functional Proofs of Concept (POCs) that the full-time engineering team can eventually operationalize.