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Senior AI Kernel Engineer jobs in United States
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Modular · 1 month ago

Senior AI Kernel Engineer

Modular is on a mission to revolutionize AI infrastructure by rebuilding the AI software stack. They are seeking a Senior AI Kernel Engineer to lead the design and optimization of high-performance kernels for AI inference on GPUs and custom accelerators, collaborating closely with various teams to enhance performance.
Artificial Intelligence (AI)SoftwareAI InfrastructureGenerative AIMachine Learning
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H1B Sponsor Likelynote

Responsibilities

Design, implement, and optimize performance-critical kernels for AI inference workloads (e.g., GEMM, attention, communication, fusion)
Lead kernel-level optimization efforts across single-GPU, multi-GPU, and heterogeneous hardware environments
Make informed trade-offs between latency, throughput, memory footprint, and numerical precision
Drive adoption of new hardware features (e.g., Tensor Cores, asynchronous execution, advanced memory spaces)
Analyze performance using profilers, hardware counters, and microbenchmarks; translate insights into concrete improvements
Work closely with compiler and runtime teams to influence code generation, scheduling, and kernel fusion strategies
Review and mentor other engineers on kernel design, performance tuning, and best practices
Contribute to technical roadmaps and long-term performance strategy for AI inference

Qualification

C/C++GPU kernel programmingCUDAHIPGPU architecturePerformance optimizationKernel developmentPTXAssembly-level tuningCode generation frameworksDistributed inference pipelinesMulti-GPU inference pipelinesAI acceleratorsTransformer modelsLarge language modelsDiffusion models

Required

5+ years of experience in performance-critical systems or kernel development (or equivalent depth of expertise)
Strong proficiency in C/C++ and low-level programming
Extensive hands-on experience with GPU kernel programming (CUDA, HIP, or equivalent)
Deep understanding of GPU architecture, including memory hierarchies, synchronization, and execution models
Proven track record of delivering measurable performance improvements in production systems
Strong problem-solving skills and ability to work independently on complex, ambiguous performance challenges

Preferred

Experience with PTX, assembly-level tuning, or code generation frameworks (e.g., Triton)
Experience optimizing distributed or multi-GPU inference pipelines
Familiarity with custom AI accelerators or domain-specific hardware
Understanding of modern AI models (e.g., transformers, LLMs, diffusion) from a systems and performance perspective
Contributions to open-source kernel libraries, compilers, or performance tools
Experience collaborating directly with hardware or compiler teams

Benefits

Premier insurance plans
Up to 5% 401k matching
Flexible paid time off
Stock options
Annual target bonus
Equity
Team Building Events
Regular team onsites and local meetups in Los Altos, CA as well as different cities
Traveling 2-4 times a year is expected for all roles

Company

Modular

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Modular is an AI infrastructure company that develops a unified software stack for deployment, serving, and programming GPUs.

H1B Sponsorship

Modular has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
94%
Represents job field similar to this job
Engineering and Development
Management and Executive
Trends of Total Sponsorships
*2026 (6)
2025 (10)
2024 (6)
2023 (8)
2022 (4)

Funding

Current Stage
Growth Stage
Total Funding
$380M
Key Investors
US Innovative Technology FundGeneral CatalystGoogle Ventures
2026-06-24Acquired
2025-09-24Series C· $250M
2023-08-24Series B· $100M

Leadership Team

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Chris Lattner
CEO + Co-Founder
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Tim Davis
Co-Founder & President
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Company data provided by crunchbase