Platform Validation & Reliability Engineer (Latam)

Platform Validation &Reliability Engineer

Engagement Overview

We are seeking a highly skilled contractor to drive software validation, test reliability, and data-quality initiatives across our development vehicle platforms.

This role is instrumental in ensuring the integrity of our development‑embedded systems. You will work at the intersection of Hardware‑in‑the‑Loop (HIL) testing, automated pipelines, and release‑readiness evidence to improve confidence in our platform’s deployment capabilities.

Primary Location Timezones: UTC+0 (UK) & UTC-8 (CA)

Key Responsibilities

Test Integrity & Triage

• Execute and support validation activities across diverse development platforms with different hardware and software configurations.
• Triage of test and pipeline failures to distinguish between genuine firmware defects and issues rooted in bench hardware, tooling, or infrastructure.
• Identify recurring failure themes to improve system‑wide debugging efficiency.
• Collaborate with internal software and platform teams to expand test coverage and reduce manual investigation overhead.

Tooling & Automation

• Develop and refine automation scripts, dashboards, and operational runbooks to scale validation workflows.
• Enhance test reliability across Hardware‑in‑the‑Loop, Software‑in‑the‑Loop, Model‑in‑the‑Loop.
• Support data‑quality validation checks, including logging, MCAP, offload, and ingest processes.

Professional Profile

Core Competencies

• Technical Foundations: Proven experience in software validation, test automation, or reliability engineering within complex systems.
• Systems Debugging: Comfortable navigating CI/CD pipelines, Linux‑based environments, and distributed test infrastructure.
• Programming: Proficiency in Python, understanding of C/C++ a plus.
• Operational Mindset: Ability to pick up context quickly in ambiguous environments and document processes clearly.

Preferred Qualifications

• Background in HIL, embedded systems, robotics, or automotive validation.
• Familiarity with sensor data validation and observability/monitoring workflows.
• Experience building lightweight internal tools or triage dashboards.

Defining Success

1. Efficiency: A measurable reduction in the time required for pipeline failure triage.
2. Clarity: Increased visibility into pipeline health and ownership through structured reporting.
3. Confidence: Enhanced validation evidence that directly supports platform and release‑readiness milestones.
4. Scalability: A reduction in manual effort through the implementation of repeatable automation and runbooks.

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