Company
AI
MemberofTechnicalStaff-KernelEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Member of Technical Staff - Kernel Engineer. Skills: kernel engineering, applied AI, AI agents, high-performance computing systems, mission-critical computing systems, CUDA C, NVIDIA GPU architecture. Bring deep kernel expertise to our AI agents that optimize high-performance, mission-critical computing systems. shape the tools and feedback loops those agents use to improve performance across real workloads”
What You'll Achieve.
optimize high-performance, mission-critical computing systems; improve performance across real workloads; scale up AI agents that design and build complex systems
Industry & Context.
analytical thinking from first principles
What They're Looking For.
Must Have
CUDA C experience, hands-on work implementing or optimizing kernels for ML or other GPU-heavy workloads, Fluency in Python and C/C++, Deep knowledge of NVIDIA GPU architecture, performance tooling, and profiling, Exposure to low-level primitives and tools like PTX and XLA, Excellent analytical thinking from first principles, communication skills
Nice to Have
Ability to work effectively with AI coding agents like Claude Code, Experience with TPUs, AMD GPUs, edge AI, or other accelerator ecosystems, Familiarity with distributed systems
What You'll Do.
Bring deep kernel expertise to our AI agents that optimize high-performance
mission-critical computing systems
shape the tools and feedback loops those agents use to improve performance across real workloads
work at the intersection of kernel engineering and applied AI to scale up AI agents that design and build complex systems
How You'll Work.
Team & Collaboration
working together; grow together; share both the challenges and the wins
Communication Scope
communication skills
Full Job Description
BUILD AI TO CO-INVENT THE FUTURE Our mission is to empower people to invent solutions for the world’s hardest problems, working together with scalable and reliable AI agents. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust https://asari.ai/blog/space-grade-software. Our team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. We move fast, think from first principles, and build with purpose. We believe that great results come when people take ownership, grow together, and share both the challenges and the wins. What you'll do Bring deep kernel expertise to our AI agents that optimize high-performance, mission-critical computing systems. You'll shape the tools and feedback loops those agents use to improve performance across real workloads. You’ll work at the intersection of kernel engineering and applied AI to scale up AI agents that design and build complex systems. What you have - Strong CUDA C experience, with hands-on work implementing or optimizing kernels for ML or other GPU-heavy workloads - Fluency in Python and C/C++, and familiarity with the ML kernel ecosystem (PyTorch, Triton, JAX, as well as other frameworks such as CUTLASS, cuBLAS) - Deep knowledge of NVIDIA GPU architecture, performance tooling, and profiling - Exposure to low-level primitives and tools like PTX and XLA - Excellent analytical thinking from first principles and communication skills Nice to have - Ability to work effectively with AI coding agents like Claude Code - Experience with TPUs, AMD GPUs, edge AI, or other accelerator ecosystems - Familiarity with distributed systems Compensation, benefits, and perks We offer competitive compensation + stock options, full health coverage, and a 401(k) match, plus additional wellness perks, flexible hours, and unlimited PTO. We prioritize growth and connection throug
Applying for this Member of Technical Staff - Kernel Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.