Runtime Engineer

Amadeus Search; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity opportunities

Medical, dental, and vision coverage

Retirement savings plan

Supplemental wellness benefits

Hybrid flexibility

Job summary

A technology-driven startup is seeking a Runtime Engineer to build sustainable AI infrastructure. The ideal candidate will have over 4 years of experience in C/C++ and strong skills in asynchronous and concurrent programming. Responsibilities include designing multi-target runtime systems and prototyping new techniques. The work environment is hybrid, allowing flexibility in the SF Bay Area or Toronto, with competitive compensation that includes equity and medical benefits.

Qualifications

• 4+ years of experience with C/C++ (C++14 or newer).
• Solid understanding of hardware architectures.
• Experience with OS kernel or hypervisor development.

Responsibilities

• Design, develop, and optimize multi-target runtime systems.
• Use modern techniques in parallelization and partitioning.
• Benchmark and analyze compiler outputs across diverse hardware platforms.

Skills

Asynchronous programming

Concurrent programming

C/C++ experience

Hardware architecture understanding

Education

MS/PhD in Computer Science or related field

Tools

CUDA

ROCm

Deep learning frameworks

Job description

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.