Employer profile
Vorticity
2 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Kernel Engineer — Scientific Computing (SPU)
Redwood City | OnSite
onsite Salary not disclosedKernel Engineer — Scientific Computing (SPU) Redwood City | OnSite Vorticity is building the world's first Scientific Processing Unit (SPU https://pyrite9.com), a new class of silicon purpose-built to accelerate scientific computing beyond the limits of GPUs. We are designing tightly coupled software-hardware systems around applied mathematics workloads to deliver order-of-magnitude performance gains. Unlocking its full potential requires early, deep engagement from applied mathematics-driven software engineers who can translate real-world scientific workloads into executable models, kernels, libraries, and applications that inform both architecture and tooling decisions. As a Kernel Engineer, you will work at the intersection of applied mathematics, scientific computing, parallel programming, and low-level performance engineering. You will help shape how numerical kernels are implemented, optimized, and eventually mapped onto the SPU. Your work may include building early numerical kernels and libraries, developing prototype applications, and writing Python-based workload models and simulators, all to support and inform the evolving hardware and compiler stack. This requires both strong applied math fundamentals and deep low-level implementation ability. You should be comfortable moving from mathematical formulations to efficient kernels, reasoning about accuracy, stability, data movement, memory hierarchy, parallel execution, and compiler behavior along the way. This position is ideal for someone who combines strong scientific computing instincts with the low-level habits of a performance engineer. RESPONSIBILITIES - Prototyping and implementing core kernels and low-level numerical primitives for the SPU. - Translating mathematical formulations into executable, performance-relevant kernel implementations. - Analyzing and optimizing me
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Applied Math Libraries Engineer (SPU)
Redwood City | OnSite
onsite Salary not disclosedApplied Math Libraries Engineer (SPU) Redwood City | OnSite Vorticity is building the world's first Scientific Processing Unit (SPU https://pyrite9.com), a new class of silicon purpose-built to accelerate scientific computing beyond the limits of GPUs. We are designing tightly coupled software-hardware systems around applied mathematics workloads to deliver order-of-magnitude performance gains. Unlocking its full potential requires early, deep engagement from applied mathematics-driven software engineers who can translate real-world scientific workloads into executable models, kernels, libraries, and applications that inform both architecture and tooling decisions. As a Applied Math Libraries Engineer, you will work at the intersection of applied mathematics, scientific computing, and low-level software. From day one, you will help build the numerical software foundation of the SPU. This role is focused on building reusable mathematical primitives rather than full end-to-end scientific applications. The ideal candidate is excited to implement mathematics on a new architecture. You will work closely with hardware architects, compiler engineers, and runtime engineers to shape how numerical algorithms are expressed, executed, and optimized on the SPU. This position is ideal for someone who enjoys moving fluidly between applied math, numerical algorithms, and low-level software, and who wants to help build a new scientific computing platform from the ground up. RESPONSIBILITIES - Prototype and implement core numerical linear algebra kernels and libraries for the SPU. - Translate mathematical algorithms into executable, performance-relevant software. - Write C, C++, and Python reference implementations to guide hardware, compiler, and runtime decisions. - Design benchmarks, correctness tests, numerical accuracy tests, and