AI Kernel Engineer
$110k - $270kquadric.io
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 develop a highly efficient Quadric kernel library for a variety of AI/LLM models; 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 improvements 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 Electrical Engineering 5+ years of experience in AI kernel development and optimization Experience 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, debugging and communication Benefits 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 amenities A 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 The base salary range for this position is $110,000 to $270,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level. Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. #J-18808-Ljbffr
- ...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...SuggestedTemporary workWork from home
$110k - $270k
...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....SuggestedWork at officeLocal areaImmediate startFlexible hours2 days per week$45 - $60 per hour
...internship period and available to work on site. Responsibilities Kernel Implementation and optimization: Implement onnx operator kernels... ...receive hands‑on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and...SuggestedHourly payTemporary workInternshipWork at officeRelocation- ...Quadric is seeking an experienced AI Kernel Engineer to develop and optimize AI kernels for efficient inference on the Quadric platform. This role requires strong expertise in hardware architecture, compiler toolchain, and optimization techniques. Located in Burlingame...SuggestedWork at officeFlexible hours
$120k - $160k
...quadric.io, Inc in Burlingame, California is seeking an AI Kernel Engineer. The role involves developing and optimizing AI kernels for the Quadric platform. Candidates should have a strong background in C/C++ and Python, as well as an understanding of computer architecture...SuggestedWork at office2 days per week$120k - $160k
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...large-scale initiative bringing frontier AI models, massive compute, and frontier experimental... .... The Team The AI Cluster Production Engineering team is part of the AI Compute Platform... ...(NFS, VAST, WEKA, POSIX semantics), kernel internals (cgroups, namespaces, eBPF, sysctls...Work at officeRelocation package3 days per week- ...Overview About Us At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference...
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