The role focuses on driving revenue growth through partnerships, managing the partnership lifecycle, negotiating deals, and providing market insights.

The AI Solutions Pre-Sales Engineer will engage with clients, design customized AI solutions, demonstrate products, and support sales teams.

The AI Solutions Product Operations Manager oversees the lifecycle and operational success of AI products, enhancing user engagement and coordinating cross-functional teams.

The AI Solutions B2B Sales Executive will drive revenue growth by acquiring and managing enterprise clients, handling the full sales cycle while collaborating with technical teams and ensuring client satisfaction.

The Client Manager will manage client relationships, drive revenue growth, oversee ad campaigns, and provide market insights in the ad tech industry.

Design and optimize CPU architectures, integrating advanced performance features while leading research on CPU design technologies and methodologies.

The Associate Campaign Manager will manage ad campaigns, optimize performance, troubleshoot issues, and collaborate with teams to enhance client success.

Manage and grow a portfolio of clients through account management, market research, and developing sales strategies to improve campaign performance.

Lead the design and development of scalable AI-driven systems while mentoring engineers and ensuring compliance with security policies.

As Head of HR, lead HR functions, develop people strategies, manage recruiting and compliance, and enhance employee experience in a fast-paced environment.

The Advertising Sales Manager will drive revenue growth by managing advertiser relationships, developing sales strategies, and ensuring successful campaign delivery.

Lead revenue growth for MediaGo in the U.S. programmatic advertising market by managing sales operations, developing strategies, and guiding a high-performing team.

As a Low Power SoC Architect, design lower power subsystems for AI engines, collaborating on power efficiency and architecture definition.

The Machine Learning System Software Architect will lead high-performance machine learning software architecture, collaborating with teams to optimize AI solutions, evaluating architecture for performance, and driving innovation in AI training systems.

Develop and optimize deep learning compilers and software stacks for AI hardware. Ensure high performance and power efficiency in applications.

The SoC System Hardware Architect will lead the AI SOC development, defining specifications and collaborating with teams for technical implementation and performance evaluations.

Design cost-effective controllers for cellular modems, focusing on CPU subsystem development and micro-architecture for 5G applications.

Responsible for architecting high-performance machine learning silicon, collaborating with software and design engineers, and driving innovation in AI hardware solutions.

Design and implement features in RISC-V CPU cores, perform verification, collaborate on design optimization, and ensure high-quality delivery.

The CPU/Processor Architect designs micro-architecture, optimizes performance, collaborates with teams, and provides design guidelines in AI hardware.