AI Kernel Engineer

Description Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Role The AI Kernel Engineer in Quadric plays the key role to enable a large number of AI kernels/operators to run efficiently on the Quadric platform. The AI Kernel Engineer at Quadric will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze the performance and optimize the kernel for different hardware configurations;
This senior technical role demands deep knowledge of hardware architecture, compiler toolchain and optimization techniques.

Our preference is for a candidate located in the California Bay Area who can regularly collaborate from our Burlingame office. This role follows a hybrid schedule with at least two in-office days per week expected, but actual schedule may adjust depending on team and business need. We believe strong technical collaboration, rapid iteration, and shared problem-solving are well supported by working together in person.

The team and company also gather periodically for onsite meetings and offsite events to connect, collaborate, and align on priorities.

Responsibilities Develop AI/LLM kernels/operators on Quadric platform for efficient inference

Optimize the kernel performance for different hardware configurations and workloads

Profile and analyze kernel performance in terms of compute, data and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions

Optimize kernel C/C++ codes, maximize hardware utilization

Collaborate across related areas of the AI inference stack to support team and business priorities

Make Improvement to Quadric toolchain, compiler and runtime

Provide technical support and documents to customers and developer community

Requirements

Bachelor’s or Master’s in Computer Science and/or Electric Engineering5+ years of experience in AI kernel development and optimizationexperience with model and kernel inference performance profiling experience with at least one of the following compute development: CUDA, DSP, NEON, Triton-lang Proficiency in C/C++ and Python, experience with assembly language a plus Demonstrate good capability in problem solving, debug and communication

Benefits

At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear:
Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space. Competitive salary and meaningful equity

Medical, dental, and vision plan options starting on day one
401(k) retirement plan Flexible paid time off (unlimited, non-accrual) to support work-life balance

When working in-office, enjoy company-provided lunches and a stocked kitchen

Convenient office location within walking distance of the Caltrain station

Support for commuting, including monthly parking or Caltrain passes

Downtown Burlingame office location, close to shops, cafes, and local amenitiesA politics-free, highly collaborative environment where talented people can do their best work and make an immediate impact

The opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellence

Th…