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Runtime Engineer

Amadeus Search

Role: Runtime Engineer
Location: SF Bay Area / Toronto | Full-time | Hybrid
Compensation: Competitive salary (based on experience & location) + Equity + Bonus About the Role

This is your opportunity to join a mission-driven startup building the foundation of sustainable AI. The team is creating a high-performance compiler and runtime that allows developers to "build once, deploy anywhere"-from the cloud to the edge-while optimizing efficiency and scalability.

As a Runtime Engineer, you will focus on developing multi-target runtime systems, leveraging advanced techniques in concurrency, parallelization, and hardware optimization. Your work will directly shape the performance and accessibility of next-generation AI infrastructure.
What You Will Do
  • Design, develop, and optimize multi-target runtime systems.
  • Use modern techniques in parallelization and partitioning to generate highly efficient kernels.
  • Rapidly prototype and explore new approaches using data-driven methods.
  • Benchmark and analyze compiler outputs across diverse hardware platforms.
  • Collaborate with product teams to align runtime design with ML engineers' needs.
  • Build tools to identify, analyze, and resolve performance bottlenecks.
What You Will Bring
  • Strong expertise in asynchronous and concurrent programming.
  • 4+ years of experience with C/C++ (C++14 or newer).
  • Solid understanding of hardware architectures (vector vs scalar registers, memory hierarchies).
  • Experience with OS kernel or hypervisor development.
Preferred:
  • Experience with CUDA, ROCm, or GPU programming.
  • Background in HPC (high-performance computing).
  • Advanced degree (MS/PhD) in Computer Science or related field.
  • Familiarity with deep learning frameworks (PyTorch, JAX, Triton).
  • Experience programming for large compute clusters.
Compensation & Perks
  • Salary: Competitive, adjusted for experience and geography.
  • Equity + performance-based bonus opportunities.
  • Medical, dental, and vision coverage.
  • Retirement savings plan.
  • Supplemental wellness benefits.
  • Hybrid flexibility (SF Bay Area or Toronto).
Why Join Us?
  • Build core AI infrastructure - work on runtime systems that power sustainable, scalable AI.
  • Cutting-edge engineering - apply advanced concurrency, GPU programming, and HPC techniques.
  • Mission-driven culture - focus on innovation with environmental responsibility.
  • High-growth environment - contribute to core architecture at a pivotal stage for the company.
Vacancy posted 4 days ago
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