Top Tech Jobs & Startup Jobs

The Product Quality Engineer oversees quality assurance and inspection processes, collaborates with teams, drives improvements, and resolves manufacturing issues for AI hardware.

The Design Verification Engineer will ensure all architecture requirements are met by collaborating with vendors and internal teams, developing verification environments, and validating external IPs within chip architecture.

The Design Verification Engineer will verify performance features in ASIC designs, collaborate with teams, and enhance performance models.

The Signal Integrity and Power Integrity (SI/PI) Engineer will design and analyze high-speed PCB systems, ensuring performance and compliance across interfaces and support debugging and validation processes.

This role involves full-cycle recruiting for technical talent in fast-paced environments, building partnerships, sourcing from unconventional channels, and improving recruiting systems.

As a Senior Performance Characterization Engineer, you will develop performance analysis tools for a custom ML accelerator, improving understanding of workload behavior and optimization. Responsibilities include tool architecture, data collection, performance analysis, and collaboration with various engineering teams.

Lead talent operations by building and maintaining models, dashboards, and slides; run people analytics and special projects; streamline processes; support recruiting tasks from candidate research to first-round screening.

The Mechanical Engineer will develop and manage mechanical designs for high-power data center products, collaborating with internal and external teams for seamless product development from concept to production.

As a Technical Recruiter, you'll source candidates, handle interview processes, collaborate with hiring managers, and help build recruiting systems. This entry-level role offers mentorship and opportunities for growth in a fast-paced AI technology environment.

As an Optical Systems Engineer, you'll design optical interconnects for AI accelerators, integrate technologies, and collaborate across engineering teams to ensure product performance and scalability.