AI Kernel Engineer at Quadric

Burlingame, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Semiconductors, Edge ComputingIndustries

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, debug and communication

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
Make improvements to Quadric toolchain, compiler and runtime
Provide technical support and documents to customers and developer community

Skills

Key technologies and capabilities for this role

C/C++AI kernelskernel optimizationperformance profilingCUDADSPNEONTriton-langcompiler toolchainruntimehardware architecture

Questions & Answers

Common questions about this position

What benefits does Quadric offer?

Quadric provides a comprehensive benefits package including Health Care Plan (Medical, Dental & Vision), Retirement Plan (401k, IRA), Life Insurance, Paid Time Off, Family Leave, Short Term & Long Term Disability, Training & Development, Work From Home, Free Food & Snacks, and Stock Option Plan.

Is this position remote or hybrid?

The position is hybrid, requiring some office presence as remote is not fully supported.

What skills and experience are required for the AI Kernel Engineer role?

Candidates need 5+ years in AI kernel development and optimization, experience with model and kernel inference performance profiling, proficiency in C/C++ and Python, experience with compute development like CUDA, DSP, NEON, or Triton-lang, plus strong problem-solving, debugging, and communication skills. A Bachelor’s or Master’s in Computer Science or Electrical Engineering is required, with assembly language experience a plus.

What is the salary range for this position?

This information is not specified in the job description.

What makes a strong candidate for this AI Kernel Engineer position?

A strong candidate will have 5+ years of hands-on experience in AI kernel development and optimization, proven skills in performance profiling and optimization using tools like CUDA or DSP, deep proficiency in C/C++ and Python, and excellent problem-solving abilities.

Quadric

Simplifies SoC design for machine learning

About Quadric

Quadric focuses on simplifying the design and programming of System on Chips (SoCs) specifically for machine learning applications. Their main product is the Chimera, a General-Purpose Neural Processing Unit (GPNPU) that combines matrix and vector operations with scalar control code in a single execution pipeline. This design allows developers to avoid splitting application code across different processors, making the development process more efficient. Quadric serves clients in the semiconductor industry, including SoC developers and manufacturers, who need to improve their machine learning capabilities. Unlike competitors, Quadric offers a comprehensive solution that includes both hardware and software tools, such as the Chimera LLVM C Compiler and the Chimera Instruction Set Simulator, enabling developers to design, simulate, and deploy their applications effectively. The goal of Quadric is to enhance the performance and ease of development for machine learning applications on SoCs.

Burlingame, CaliforniaHeadquarters

2017Year Founded

$42.1MTotal Funding

DEBTCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Risks

Increased competition from established semiconductor companies threatens market share.

Rapid AI advancements may outpace Quadric's current product offerings.

Potential IP disputes could lead to costly legal battles.

Differentiation

Chimera GPNPU integrates matrix, vector, and scalar operations in one pipeline.

Quadric's GPNPU runs C code, enhancing versatility for neural network operations.

Quadric offers a unified architecture for ML inference and C++ processing.

Upsides

Quadric's Series B funding boosts expansion of engineering and commercial teams.

Partnership with Ams Osram enhances smart sensing solutions for edge applications.

Quadric Developer Studio simplifies AI and ML application development.

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