Senior Quality Engineer

Noda AI Inc.

Job Overview

Location

Austin

Job Type

Full-time

Full Job Description

📋 Description

• Own the end-to-end quality engineering function for Core Engineering at Noda AI, building test automation infrastructure from scratch rather than inheriting existing systems.
• Design and implement a comprehensive test automation framework in Rust and Python covering unit, integration, regression, and scenario-level testing for distributed, concurrent systems.
• Integrate test suites into CI/CD pipelines with enforced security and compliance gates at every stage, including SAST, dependency scanning, and vulnerability validation.
• Ensure CUI and export-controlled data never enter clean-zone or vendor-accessible test environments by designing and enforcing strict security boundaries in test infrastructure.
• Define and track key quality metrics including test coverage, flake rate, false positive rate, and mean time to detect and triage failures, using these to drive release decisions.
• Maintain and evolve a component-level quality dashboard that feeds into program-level go/no-go decision-making for engineering and executive leadership.
• Issue definitive go/no-go release recommendations backed by verifiable functional, security, and compliance evidence, using standardized checklists and clear criteria.
• Triage test failures with diagnostic precision, providing engineers with root cause analysis rather than mere error symptoms to accelerate resolution.
• Ensure test suite health through regular review cycles, deprecation of stale or redundant tests, and continuous identification of coverage gaps.
• Translate technical quality state into actionable, leadership-ready language that informs program-level release strategies and risk assessments.
• Scale the quality engineering function as Core Engineering grows, establishing processes and standards that support future teams and increasing system complexity.
• Embed security and compliance validation as first-class citizens within the quality function, aligning with NODA’s five-phase Security & Compliance Maturity Roadmap and NIST 800-171 standards.
• Collaborate across engineering sub-teams and engage directly with program and mission stakeholders to align quality outcomes with operational and contractual objectives.
• Build test infrastructure with production-grade rigor, treating test code and harnesses as mission-critical products requiring design, maintenance, and evolution.
• Maintain a zero-tolerance approach to flaky or unreliable tests, ensuring only stable, authoritative test results influence release decisions.
• Work on-site in Austin, TX with less than 10% travel required for mission-critical engagements or stakeholder alignment.

🎯 Requirements

• 7+ years in software quality engineering with proven experience building test infrastructure from scratch
• Engineering fundamentals: test code must be production-quality, with test harnesses maintained as first-class products
• Proficient in Python; Rust proficiency or a concrete plan to achieve it within a short timeframe
• Hands-on experience building and enforcing CI/CD gates with integrated security testing (SAST, dependency scanning, compliance validation)
• Proven track record of owning and delivering quality dashboards and metrics that directly drive go/no-go release decisions
• Deep understanding of distributed and concurrent systems and their failure modes
• Background in defense, robotics, aerospace, or autonomous systems
• U.S. Citizenship with the ability to obtain a security clearance

🏖️ Benefits

• Competitive salary and equity
• Health, dental, and vision insurance
• Free OneMedical membership
• 401(k)
• Flexible time off
• Federal holidays

Skills & Technologies

Python

Rust

Senior

Onsite

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Noda AI Inc.

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About Noda AI Inc.

NODA AI develops orchestration software that enables coordinated autonomy for heterogeneous unmanned systems across air, sea, land, and space with primary applications in defense and national security. Their platform integrates robotics, AI, and systems engineering to provide real-time task allocation, mission planning, and secure communication for multi-agent operations, enabling adaptive decision‑making, explainable agent reasoning, and edge deployment on resource‑constrained hardware for mission-critical environments.

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