Runtime Engineer

1 week ago

San Francisco CAToronto ONHybrid, Canada Amadeus Search Full time US$120,000 - US$180,000 per year
 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.

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