QA/QC - Autonomy Software

Tycho.AI • Cambridge, MA

8d

About The Position

As a Software QA/QC Engineer you will help ensure the reliability, safety, and performance of our autonomy software stack. This role will work closely with software, product, test, and hardware teams to validate system behavior across simulation, embedded platforms, and real-world testing environments.

Requirements

• 3+ years of experience in software QA, software validation, or test engineering
• Experience testing complex robotics platforms or autonomy systems
• Proficiency with automated testing frameworks such as NVIDIA Isaac Sim and Gazebo
• Proficiency with and scripting languages such as Python, Bash, or JavaScript
• Experience with CI/CD systems and modern software development workflows
• Familiarity with Linux-based development environments
• Strong debugging and root-cause analysis skills
• Ability to work cross-functionally in a fast-paced startup environment
• Excellent written and verbal communication skills

Nice To Haves

• Experience with UAVs or aerospace systems
• Experience with simulation environments and hardware-in-the-loop testing
• Familiarity with ROS/ROS2, real-time systems, or embedded Linux
• Experience validating AI/ML-enabled systems or perception pipelines
• Knowledge of networking, telemetry, and distributed systems testing
• Exposure to safety-critical or regulated development environments
• Experience building internal QA tooling or infrastructure

Responsibilities

• Develop and execute test plans, validation procedures, and quality processes for autonomy and embedded software systems
• Design, implement, and maintain automated testing frameworks for backend services, embedded systems, APIs, and autonomy behaviors
• Build regression, integration, hardware-in-the-loop (HIL), and system-level test pipelines
• Collaborate with autonomy, controls, perception, embedded, and platform engineers to define acceptance criteria and validation methodologies
• Investigate software defects, reproduce issues, and partner with engineering teams to drive root-cause analysis and resolution
• Support field testing and operational validation efforts for autonomous systems
• Define metrics and reporting processes for software quality, reliability, and release readiness
• Improve CI/CD workflows and automated quality gates within the software development lifecycle
• Contribute to documentation related to testing procedures, validation results, and release certification processes
• Help establish scalable QA/QC best practices appropriate for a rapidly growing engineering organization

Benefits

• Competitive salary
• meaningful equity
• generous benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed