Top Tech Jobs & Startup Jobs

Own AI Cloud strategy and roadmap to showcase hardware advantages, define served models and pricing/tokenomics, write technical PRDs, drive cloud features for enterprise inference, incubate solution architectures, and align product with sales and partner motions to accelerate deals.

As a Desktop Administrator, you'll manage the desktop environment, ensure smooth onboarding, troubleshoot issues, support users, and drive automation initiatives.

The Process/Quality Engineer will enhance manufacturing processes, ensure product quality, and drive compliance while collaborating with cross-functional teams to support new product launches and continuous improvement initiatives.

Design and implement SystemVerilog RTL for high-speed ASIC compute, memory, and networking subsystems. Define microarchitecture, optimize Power/Performance/Area, collaborate with verification/physical teams, prototype features with architects/software, mentor junior engineers, and improve design flow using AI and automation.

As the Full Stack Support Engineer, you will lead technical support for customers, handle complex technical issues, and collaborate on product feedback and process improvements.

The Principal Engineer will lead post-silicon validation and debugging of high-speed IO and memory subsystems, ensuring performance and reliability for AI compute platforms.

As a Senior AI Systems Performance Engineer, optimize and scale foundation models, enhance performance across various system layers, and deliver high-performance AI applications.

The Senior NPI Engineer leads product development from concept to production, ensuring manufacturability, quality, and supply chain efficiency. Responsibilities include managing relationships with contract manufacturers, optimizing manufacturing processes, and conducting reliability testing while collaborating with cross-functional teams.

Responsible for post-silicon validation, debug, and validation of high-speed IO and memory subsystems to ensure reliable AI systems. Lead efforts in debugging, product validation, and development of tools for automation.

As a Cloud Site Reliability Engineer, you will ensure the reliability, performance, and scalability of AI inferencing services, participate in on-call rotations, manage cloud infrastructure, and automate CI/CD processes while collaborating on incident management and capacity planning.