Senior C++ Software Engineer — Real-Time Autonomy & Planning

applied; Sunnyvale (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Applied Intuition, a Sunnyvale, California-based company, is hiring a Software Engineer focused on multi-agent optimization and real-time decision-making. You will design algorithms for distributed coordination across diverse platforms and build reusable frameworks integrated with human operators.

The role requires strong C++20 expertise, experience with constraint solving and planning, and proficiency in Docker and Linux environments.

Qualifications

• BS or MS in CS/Software Engineering, Robotics, or related technical field, OR 5+ years of professional experience.
• 5+ years of hands-on experience developing performant modern C++ (C++20).
• Strong theoretical understanding and practical experience implementing algorithms for constraint satisfaction, scheduling, and optimization.

Responsibilities

• Design and implement multi-agent optimization algorithms for distributed decision-making and coordination problems.
• Develop temporal logic frameworks and constraint-satisfaction algorithms for complex planning scenarios.
• Create mathematical models for sequential decision processes under uncertainty with probabilistic outcomes.
• Build computational frameworks that balance algorithmic efficiency with human-interpretable reasoning.
• Implement and evaluate quantitative metrics for algorithm performance, solution quality, and computational efficiency.

Skills

Multi-agent optimization

C++20

Algorithm design

Scheduling/Optimization

OOP principles

Documentation

Communication

Education

BS in CS/Software Eng/Robotics or related

MS in algorithms or related field

Tools

Bazel

Docker

Linux

Job description

Applied Intuition, a Sunnyvale, California-based company, is hiring a Software Engineer focused on multi-agent optimization and real-time decision-making. You will design algorithms for distributed coordination across diverse platforms and build reusable frameworks integrated with human operators.

The role requires strong C++20 expertise, experience with constraint solving and planning, and proficiency in Docker and Linux environments.