Senior C++ Simulation Platform Architect (Low Latency)

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior software engineer to architect and optimize a high‑performance simulation framework used by autonomous systems. You will drive deterministic execution and latency optimizations across distributed clusters.

You will collaborate with ML and autonomy teams to bridge fast simulations with high‑fidelity environments, own system design, and ensure scalable, reproducible results in production.

Qualifications

• Bachelor's or Master's in computer science, mathematics, physics, or related field.
• 6+ years of experience in a related software engineering field.
• Deep expertise in modern C++ software development and system architecture.
• System design experience building deterministic software in distributed clusters.
• Strong understanding of execution frameworks, latency optimization and memory management.

Responsibilities

• Architect and support foundational simulation software, focusing on execution frameworks and latency optimization.
• Own the interface between our high-speed GPU simulation framework and the rest of the self-driving software stack.
• Improve simulation performance and build self-serve systems for autonomy and ML engineers.
• Ensure deterministic execution, precise timing, and reproducibility of all simulation results at scale.
• Collaborate with ML experts to bridge fidelity gaps between fast simulations and high-fidelity 3D environments.

Skills

C++

Deterministic software

Distributed systems

Latency optimization

System architecture

Education

Bachelor's or Master's in CS/Math/Physics

Job description

Jobtailor is seeking a senior software engineer to architect and optimize a high‑performance simulation framework used by autonomous systems. You will drive deterministic execution and latency optimizations across distributed clusters.

You will collaborate with ML and autonomy teams to bridge fast simulations with high‑fidelity environments, own system design, and ensure scalable, reproducible results in production.