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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying automation to enhance efficiency in software engineering and validation processes, with a strong focus on AWS cloud-based systems and AI/ML applications. Proven ability to lead cross-functional teams and influence stakeholders to drive successful product milestones.
Highest-signal resume keywords
Automation Design And DeploymentAWS Cloud-Based SystemsAI/ML-Based ToolsSoftware Engineering ExperienceContinuous Delivery Model
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAutomationCI/CD PipelinesData ProcessingAI/ML ApplicationsPython CodingSimulation WorkloadsTechnical Program ManagementRelease QualificationVerification And Validation
Soft Skills
Excellent Communication
Tools & Technologies
AWSSimulation PlatformsData SystemsEngineering Workflows
Industry Keywords
Autonomous VehiclesRoboticsVirtual Validation StrategiesSynthetic DataCycle Time Reduction
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Partner with Simulation, Autonomy, and Mission Assurance teams to make simulation the primary engine for validation
- Expand simulation coverage and reduce reliance on on-road testing
- Identify manual, repetitive steps across development, validation, and release
- Lead the design and deployment of automation to reduce cycle time
- Deploy AI-assisted systems to parse logs, classify failures, and route issues
- Scale AWS cloud-based simulation, metrics, data processing, and release evaluation pipelines
- Work with technical experts and research teams to turn prototypes into production systems
- Instrument processes end to end, identify bottlenecks, and report cycle-time progress to executive leadership
- Drive cross-functional planning and execution for major corporate and integrated product milestones across vehicle development, software engineering, manufacturing, fleet operations, and business functions
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience
- 8+ years of experience in software engineering, technical program management, or a combination, with a strong software background
- Track record of designing and deploying automation that measurably reduced cycle time, such as CI/CD, test, data, or triage pipelines
- Hands-on familiarity with AWS and large-scale distributed compute and data systems, including simulation workloads
- Experience building or applying AI/ML-based tools to analyze logs, detect failures, or automate engineering workflows
- Proven ability to take research or prototype work into production and influence technical experts without formal authority
- Excellent written and verbal communication
- Bonus: Deep experience with simulation platforms, virtual validation strategies, or synthetic data in autonomous vehicles or robotics
- Bonus: Experience moving a large engineering organization from infrequent releases to a release train or continuous delivery model
- Bonus: Experience with release qualification, verification and validation, or safety-critical software
- Bonus: Hands-on coding experience in Python or similar, building internal tools and automation
Benefits
Comp & perks- Paid time off, including sick leave, vacation, and bereavement leave
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon Restricted Stock Units (RSUs)
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
- Sign-on bonus may be offered as part of the compensation package