Solutions Engineer

• Drive custom Machine Learning Accelerator (ASIC) technology for large-scale AI applications and global cloud infrastructure
• Evaluate complex digital designs focused on ML compute architecture and integration within AI/ML-driven systems
• Own cross-functional workstreams for end-to-end hardware-software integration and validation
• Bridge specification, design, verification, compiler, and performance teams across the ML compute IP ecosystem
• Review chip specifications and designs
• Develop integration plans with software and system partners and coordinate hardware/software delivery
• Lead bringup of ML compute features and integrate and validate complex hardware/software designs, including third-party IPs
• Develop validation firmware to verify hardware functionality
• Execute hardware-software co-simulation using RTL, emulation, and FPGA environments
• Use architectural simulators and performance models to correlate results
• Design validation tests and microbenchmarks to verify IP functionality and performance
• Author test plans with Design, Design Verification, Firmware, and Architecture teams
• Lead debugging with Design, DV, Software, and Architecture teams
• Root-cause functional failures and performance issues throughout the product development cycle
• Improve validation coverage and sign-off processes for tapeout and production deployment

Explore Senior Silicon System and Software Integration Engineer at SPD Technology. Review requirements and application details.

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