Lead Vector Compute Architect
Bolt Graphics
Lead Vector Compute Architect
Bolt Graphics
Fabless GPU designer for path-traced rendering
Bolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
About the role:
We are looking for an experienced and highly motivatedLeadVector ComputeArchitect to lead the architecture definition and technical direction forBolt’snext-generationGPUs. The ideal candidate will have strongexpertiseindataparallelcomputeunitarchitecture development, performance modeling,data pathintegration, and cross-functional collaboration across hardware, software, and systemsteams.
This role involves defining scalable and high-performance architectures for advancedcomputeworkloadsincludinggraphics,HPC,andsystem management.
What you'll do:
Qualifications:
Experience with one or more of the following:
Compensation Range: Market rate for India. The final offer may vary based on qualifications, experience, and location.
Benefits:
Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.
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Fabless GPU designer for path-traced rendering
Bolt Graphics designs GPUs for rendering, high-performance computing, and gaming, focusing on professional workloads like visual effects, architecture visualization, scientific simulation and render farms. Its Zeus GPU architecture, announced in 2025, uses hardware-accelerated path tracing and FP64 compute, with a RISC-V core, expandable DDR5 memory on PCIe cards and servers, built-in high-speed Ethernet for direct GPU-to-GPU connections, and acceleration for electromagnetic wave simulation. This combination supports scalable deployments on PCIe cards, servers, and cloud platforms, without relying on AI upscaling.
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