Kernel Engineer jobs in United States
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Acceler8 Talent · 2 weeks ago

Kernel Engineer

positionMountain View, CA
timeFull-time
remoteHybrid
seniorityMid, Senior Level
money$250K/yr - $350K/yr

Acceler8 Talent is seeking an experienced Kernel Engineer to join a well-funded startup based out of Mountain View whose hardware promises to drastically change the economics of AI compute for the largest and most demanding models. The role involves designing and optimizing performance-critical kernels that interface directly with custom AI hardware, while collaborating closely with ML Research and Hardware Engineering teams.

Staffing & Recruiting
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H1B Sponsor Likelynote
Hiring Manager
Luke Tomaszko
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Responsibilities

Design, implement, and optimize high-performance kernels that interface directly with custom AI hardware
Partner closely with ML Research and Hardware Engineering teams to translate algorithmic intent into efficient kernel implementations
Provide architectural feedback and guidance from a programmer’s perspective to influence hardware and system design decisions
Optimize kernels using techniques such as parallelism, SIMD/vectorization, low-level memory optimization, and instruction-level tuning
Support performance analysis, profiling, and debugging across kernels, runtime, and hardware

Qualification

Kernel optimizationC/C++ programmingParallel programmingAssembly programmingGPU/CUDA programmingPerformance analysisCommunication skillsTeam collaboration

Required

Bachelor's degree in Computer Science or equivalent practical experience
Experience optimizing software for specialized or accelerator hardware, including techniques such as parallel programming, SIMD, low-level C/C++, assembly-level optimization, or GPU/CUDA programming
Proficiency in at least one of: Assembly, C, C++, Zig, or Rust
Strong understanding of performance bottlenecks across compute, memory, and data movement

Preferred

Experience implementing kernels for ML workloads, including models such as Transformers
Familiarity with distributed and parallel execution models, including AllReduce, AllToAll, data parallelism, and tensor parallelism
Working knowledge of compiler fundamentals and how code is lowered, optimized, and executed on modern hardware

Company

Acceler8 Talent

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Acceler8 Talent partners with technology companies to propel their funding and business forward.
dateFounded in 2019
location
Boston, Massachusetts, USA
people-size11-50 employees
web-link
http://www.acceler8talent.com/

H1B Sponsorship

Acceler8 Talent 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)

Funding

Current Stage
Early Stage

Leadership Team

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Sam McBroom
Director
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Company data provided by crunchbase