Join Applied Intuition as a Software Engineer to develop world representation systems for advanced simulations and autonomy.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Experience with agentic coding tools (Cursor, Claude Code, GitHub Copilot) and AI-assisted development workflows.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer focuses on developing the core world representation systems for Applied Intuition's Axion simulation stack, which involves creating spatial data structures and optimizing computational geometry pipelines. Proficiency in C++ (C++20) and a strong background in spatial systems, world modeling, or simulation environments are essential for success. This position is ideal for candidates with at least two years of experience in related fields, particularly those with a background in game engines or autonomous systems. The new team is positioned at the forefront of innovation in physical AI, contributing to critical applications across various industries.
Joblaze insights
Quick facts
From the original posting
We're seeking a talented Engineer to work on a brand new initiative designing and developing the world representation layer at the heart of Applied Intuition's Axion simulation stack. If you've spent your time building the spatial worlds that games, simulations, or autonomous systems inhabit, defining how environments are structured, queried, and updated at high frequency this role was written for you.
This is deeply technical position sitting at the intersection of computational geometry, real-time world modeling, and large-scale simulation. You'll join a new team at the foundational scene and mapping systems that downstream sensor fusion and path planning both depend on: defining 4D spatial abstractions, Entity Component Systems, and the high-performance data structures that make multi-agent reasoning across air, ground, and maritime domains possible.
The ideal candidate has participated in a game engine, a robotics simulator, or an autonomous vehicle stack and knows what it takes to make those representations fast, accurate, and scalable under real operational constraints.
Develop World & Scene Representation Systems: Design and implement core spatial data structures, including Entity Component System frameworks, spatial indexing, occupancy representations, and 4D object management for large-scale multi-agent environments.
Own Mapping & Geometry Pipelines: Build and optimize the computational geometry and world-state systems that sit between raw sensor data and the path planning stack — including coordinate frame management, spatial queries, and environment abstraction layers.
Drive Performance to the Metal: Write highly optimized C++ (C++20) with a focus on low-latency, cache-efficient, and memory-conscious design. You should be comfortable profiling hot paths, eliminating allocations, and squeezing real-time performance out of complex spatial systems.
Technical Strategy & Integration: Participate in driving architectural decisions and design clean APIs that enable cross-domain integration across air, ground, and maritime autonomy stacks.
2+ years of experience in any field, or equivalent combination of education and experience
Expert-level C++ skills (C++20 or later), including template metaprogramming, move semantics, SIMD, and performance optimization at the systems level
Hands-on experience building world or scene representations — from a game engine, sim platform, or autonomous system — including managing dynamic object state, spatial indexing, and real-time updates
Strong background in computational geometry: coordinate transformations, spatial data structures (BVH, octrees, k-d trees), geometric algorithms, and collision/proximity systems
Deep intuition for low-latency, high-throughput software design in real-time environments
Strong proficiency in Python and shell scripting for tooling and automation
Experience with agentic coding tools (Cursor, Claude Code, GitHub Copilot) and AI-assisted development workflows
Bachelors degree in any field, or equivalent combination of education and work experience.
Travel Requirements:
Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~20%)
Security Requirements:
Must be a U.S. Citizen
Must hold or be eligible to obtain and maintain a U.S. security clearance
For more information about U.S. security clearances: click here.
Expertise with the Linux/Docker/C++ toolchains (including build systems like Nix and Bazel) and cross-compilation.
Experience with temporal reasoning systems and 4D scene representation (space + time)
Background in game development, simulation, or virtual environments
Knowledge of physics engines and collision detection systems
Understanding of autonomous systems or robotics software architectures
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Standard company text repeated across Applied Intuition's postings is omitted here.