# Software Engineer - Stack Tooling

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Fullstack Engineering
**Salary:** $135k – $265k/yr
**Experience:** 3+ years
**Skills:** C++, Cloud Infrastructure, Developer Tooling, simulation, hardware-in-the-loop testing, CI/CD, Data Pipelines, configuration management, perception modeling, planning, controls, Robotics, autonomous vehicles, neural rendering, Reinforcement Learning
**Posted:** 2026-08-14

> Builds cross-functional software infrastructure and simulation tooling for autonomy teams, including testing, deployment, mapping, and perception workflows. Requires a bachelor's degree, 3+ years of professional software engineering experience, strong C++, and experience with developer tooling and cloud infrastructure.

## Job Description

## Responsibilities
- Combine different autonomy verticals under a single, unified simulation interface.
- Integrate with neural-rendering simulation software to enable dynamic environments and bridge fidelity gaps.
- Improve hardware-in-the-loop (HIL) simulation testing fidelity to strengthen release-gating signals.
- Stabilize, generalize, and scale code deployment and offboard vehicle pre-checks to reduce vehicle-operations idle time before on-road testing.
- Refactor complex mapping workflows into a streamlined pipeline involving an offboard configuration-management service.
- Integrate perception snapshots performantly into simulation to improve resimulation fidelity.
- Execute cross-functional projects supporting autonomy developers, systems engineers, and triage and release teams.

## Requirements
- Bachelor's degree in Computer Science, Robotics, or a related engineering field.
- 3+ years of professional software engineering experience shipping production-grade code.
- Strong foundational programming experience in C++.
- Experience maintaining critical-path developer tooling infrastructure.
- Experience with cloud infrastructure and/or managing resources in customer environments.

## Nice-to-haves
- Master's degree in Robotics or another autonomy-related engineering field.
- Experience with data-pipelining architectures, map validity, or metrics and evaluation frameworks.
- Exposure to software simulation tooling and reinforcement-learning-based, physics-based, or reconstruction-based simulation runtimes.
- Experience with perception modeling, planning, controls, or other onboard robotics functions.
- Experience working with automotive OEMs, autonomous vehicles, or robotic development platforms.

## Compensation and Benefits
- Base salary, equity, and benefits.
- Comprehensive health, dental, vision, life, and disability insurance.
- 401(k) retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.

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