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Shyld AI · 5 hours ago

Software QA Engineer - Remote (US-based)

United States

Full-time

Remote

Mid Level

3+ years exp

Shyld AI is focused on robotics and safety-critical systems, and they are seeking a Software QA Engineer to drive quality across their robotics, edge, and cloud stack. The role involves establishing a QA strategy, creating test plans, and validating camera-based workflows while collaborating with engineering and product teams.

Artificial Intelligence (AI)

No H1B

Responsibilities

Own QA strategy and execution for robotics/edge + cloud components (manual + automated)

Create and maintain test plans covering functionality, safety, reliability, and performance

Build automated tests (where appropriate) and ensure regressions are caught in CI

Define and track performance KPIs and quality metrics (e.g., latency, throughput, failure rates, crash rates, CPU/memory usage, camera pipeline FPS, deployment success rate)

Produce trend-oriented QA reporting: dashboards/weekly reports, anomaly detection, regression trends, and release quality summaries

Perform structured bug triage: clear reproduction steps, severity/impact, root-cause signals, and verification of fixes

Validate camera-based workflows (preferred): calibration-sensitive behavior, image pipeline reliability, environment variability, edge-case handling

Collaborate closely with engineering + product to refine acceptance criteria and reduce ambiguity

Use Figma to review designs, verify UI/UX acceptance criteria, and catch mismatches early

Qualification

Software QAQA in safety-critical environmentsPerformance/quality KPIsPythonTest documentationLinux basicsCamera systems testingCI pipelinesDocker-based environmentsAPI testingEdge devices

Required

3+ years experience in Software QA (mix of manual and automation)

Familiarity with QA in regulated or safety-critical environments (e.g., medical, automotive, aerospace)

You understand traceability, risk-based testing, change control, and release discipline

Experience defining and managing performance/quality KPIs, with strong attention to detail and comfort working with trends over time

Working knowledge of Python sufficient to write/modify test scripts, utilities, and debug tools (expert-level not required)

Strong experience with test documentation: test plans, test cases, defect reports, release checklists

Comfortable with Linux basics, logs, and debugging distributed systems

US-based and authorized to work in the US

Preferred

Experience testing camera systems (highly preferred): camera pipelines, FPS/latency, reliability in varied lighting/environments, data integrity checks

Experience with CI pipelines (GitHub Actions or similar)

Familiarity with Docker-based test environments

API testing experience (REST/gRPC), test doubles/mocking

Experience with edge devices (Jetson, Raspberry Pi, or similar) is a plus