Head of Vector Compute Architecture (GPU)

Bolt Graphics, Inc.; Sunnyvale (CA); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Medical, Dental, & Vision - 100% covered premiums

Equity - Stock Options

401(k) match

Job summary

Bolt Graphics, Inc. is searching for a Lead Vector Compute Architect in Sunnyvale, CA. The successful candidate will define and lead the architecture for next-generation GPUs, focusing on performance and technical direction.

With responsibilities spanning from architecture tradeoff analysis to cross-functional collaboration, the ideal applicant should possess over 6 years of related experience and a relevant advanced degree. The position offers competitive compensation and full medical benefits.

Qualifications

• 6+ years of experience in modern data parallel microarchitecture including workload characterization and profiling.
• Strong understanding of modern data parallel microarchitectures and subsystem integration.
• Experience with architecture modeling and performance analysis tools.

Responsibilities

• Drive architecture tradeoff analysis for performance, power, area, bandwidth, latency, and scalability.
• Develop and review system architecture specifications and microarchitecture requirements.
• Collaborate with RTL, verification, physical design, firmware, software, and system teams throughout the development cycle.

Skills

Data parallel microarchitectures

Performance modeling

C/C++/SystemCor

Problem-solving

Communication skills

Leadership skills

Education

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field

Tools

High-speed interfaces (PCIe, UCIe, Ethernet)

Cache coherency protocols (CHI/ACE/CXL)

Job description

Bolt Graphics, Inc. is searching for a Lead Vector Compute Architect in Sunnyvale, CA. The successful candidate will define and lead the architecture for next-generation GPUs, focusing on performance and technical direction.

With responsibilities spanning from architecture tradeoff analysis to cross-functional collaboration, the ideal applicant should possess over 6 years of related experience and a relevant advanced degree. The position offers competitive compensation and full medical benefits.