Kernel Engineer — Scientific Computing (SPU)

Core Skills:

• Strong applied mathematics and scientific computing judgment, with the ability to understand numerical workloads deeply enough to implement them correctly and efficiently.
• Strong proficiency in C++ and CUDA, HIP, SYCL, or an equivalent accelerator programming model.
• Experience writing custom kernels, not just using existing frameworks or vendor libraries.
• Ability to translate mathematical formulations into low-level implementations while balancing accuracy, stability, precision, data movement, and performance.
• Deep understanding of GPU execution and memory hierarchy, including global memory, shared memory, registers, caches, coalescing, atomics, reductions, scans, warp-level execution, and occupancy.
• Experience using profiling and performance tools to identify bottlenecks, test hypotheses, and validate improvements.
• Ability to reason from profiler output to concrete code changes, rather than treating performance debugging as guesswork.
• Solid concurrency fundamentals, including race conditions, atomicity, synchronization, and thread/process execution behavior.

Nice to Have Skills:

• Familiarity with performance analysis tools or modeling techniques (profilers, roofline models)
• Exposure to compilers, runtimes, or code generation frameworks
• Experience in applied scientific domains such as physics, geophysics, CFD, climate, materials, fusion, or finance.
• Experience with low-level GPU assembly or intermediate representations.
• Familiarity with low-level system software or drivers.

Non-Technical Qualities:

• Excellent written and verbal communication skills
• Strong ability to work independently and collaboratively in a team.
• Comfort operating in an early-stage environment where the hardware, compiler, and software stack are evolving together.
• Willingness to put in the hard work needed to bring the SPU to life.
• Above all: low ego.

As passionate scientists and engineers, we are well aware of the plethora of critical problems in the world that cannot be solved because humanity simply does not have enough computing power. To address this, Vorticity is developing a radically new silicon chip architecture and system to dramatically accelerate scientific computing problems.

Vorticity’s mission is to expand human ingenuity. To do that we are building a team of exceptional people to work together on big problems. Join us!

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