Senior Software Engineer – Protocol Operations, Trust

General Motors

. Own delivery of simulation test suites validating autonomous vehicle software .

Posted 9/29/2026full-timeBellevue • Washington • United StatesSenior💰 $153,200 - $234,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining automated test suites for autonomous vehicle software, with strong capabilities in Python development, cloud-based systems, and data processing. Proven ability to lead technical design, mentor engineers, and collaborate across teams to deliver high-quality software solutions.

Highest-signal resume keywords

Python DevelopmentAutomated Test GenerationCloud-Based Production SystemsData Processing SystemsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production-Quality CodingUnit TestingDebuggingAPIsMicroservicesCI/CDSQLNoSQLWorkflow OrchestrationPerformance Monitoring

Soft Skills

Strong CommunicationAdaptabilityOwnership

Tools & Technologies

AI-Assisted Development ToolsAnalytics PlatformsSimulation Validation ToolsObservability ToolsDashboards

Certifications & Qualifications

BS in Computer ScienceMS in EngineeringPhD in Related Field

Industry Keywords

Autonomous VehiclesRoboticsSimulation TestingSafety-Critical ProductsHuman-in-the-Loop Evaluation

Tech Stack

Tools & technologies

CloudDistributed SystemsMicroservicesNoSQLPythonSQL

About the role

Key responsibilities & impact

Own delivery of simulation test suites validating autonomous vehicle software
Build and maintain tests in bulk using partner teams’ test creation tools
Build orchestration and pipelines connecting incoming requests to running tests
Automate and standardize test creation and maintenance
Integrate partner teams’ evaluation systems to drive test building, triage, and retirement
Partner with Autonomy, Systems, Safety, and customer teams to translate testing needs into tooling, interfaces, and automation
Uphold code quality and software architecture standards through code reviews and technical leadership
Mentor engineers on software engineering and simulation testing best practices
Leverage AI-assisted development tools and analytics platforms
Take ownership of ambiguous problem spaces and move prototypes into production
Operate with urgency while maintaining high engineering quality

Requirements

What you’ll need

BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years of experience designing, building, and operating production software, backend services, data platforms, or infrastructure systems
Strong Python development skills, including production-quality coding, unit testing, code review, debugging, and reliability practices
Experience building scalable backend systems, APIs, microservices, workflow orchestration, or internal engineering platforms
Experience with cloud-based production systems, including deployment, observability, performance, and operational reliability
Experience designing or operating data pipelines and data-processing systems using SQL, NoSQL and other tools for large-scale operational, telemetry, or time-series data
Experience building automated tests, validation, quality checks, CI/CD, or release workflows
Ability to lead high-level technical design doc and drive execution across multiple teams
Strong communication skills and the ability to turn ambiguous technical problems into practical, maintainable solutions
Demonstrated adaptability, ownership, and ability to operate effectively in evolving technical environments
Experience with autonomous vehicles, robotics, simulation, evaluation systems, or other complex software platforms
Experience building automated test-generation, test-execution, or workflow-orchestration systems
Experience with defining human-in-the-loop/automation quality processes or release-management systems where reproducibility and traceability are critical
Experience developing data-processing, query, analysis, anomaly detection, or issue-triage systems
Experience with observability, time-series analysis, performance monitoring, dashboards, or operational analytics
Experience working on safety-critical, mission-critical, or highly reliable products
Familiarity with simulation validation, test-quality metrics, human-in-the-loop evaluation, or feedback-driven quality improvement
Experience with cloud-native deployment, infrastructure, code, containerization, or distributed systems

Benefits

Comp & perks

Total Rewards resources
Inclusive workplace culture
Reasonable accommodations for applicants with disabilities
Role-related assessment and/or pre-employment screening information and support