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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 building evaluation and analysis tooling for AV and ML engineers, with a strong focus on system stability, performance, and operational debuggability. Proficient in collaborating across teams to deliver end-to-end user workflows while balancing feature development and production stability.
Highest-signal resume keywords
Python ProgrammingDistributed Systems DesignAPI DevelopmentData Pipeline EngineeringObservability and Performance Profiling
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 EngineeringWorkflow OrchestrationBackend ServicesData ContractsSchema EvolutionProtobufParquetLarge-Scale Analytical StorageProduction SystemsEvaluation Infrastructure
Soft Skills
CollaborationAgilityAdaptabilityProblem-SolvingDriving Technical Work
Tools & Technologies
CI PipelinesUser-Facing WorkflowsOperational DebuggabilityProduction MonitoringResource Usage Analysis
Industry Keywords
Self-Driving Car DevelopmentSimulation WorkflowsAnalysis WorkflowsHigh-Scale WorkloadsIncremental Migration
Tech Stack
Tools & technologiesDistributed SystemsPythonGo
About the role
Key responsibilities & impact- Design and build evaluation and analysis tooling used by AV and ML engineers
- Improve analyzer workflows, including onboarding, execution, qualification, and production observability
- Build reliable services, APIs, CI pipelines, and UI-facing workflows across the stack
- Define and evolve data contracts for analyzer outputs, including structured schemas, tabular data, time-series data, and metadata
- Improve system stability, performance, traceability, alerting, and operational debuggability for high-scale workloads
- Partner with AV engineering, data platform, infrastructure, and product teams to deliver end-to-end user workflows
- Establish guardrails for analyzer rollout, including pre-merge validation, output-size controls, runtime/memory metrics, and production monitoring
Requirements
What you’ll need- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
- 12+ years of software engineering experience building production systems, developer tools, data platforms, or evaluation infrastructure
- Strong programming skills in Python, Go, or similar languages
- Experience designing distributed systems, workflow orchestration, APIs, backend services, or data pipelines
- Ability to reason across systems software, data schemas, backend services, and user-facing tooling
- Experience collaborating across teams and driving ambiguous technical work to completion
- Ability to balance new feature development with production stability, maintainability, and user support, while demonstrating agility and adaptability in a fast paced environment
- Experience with Protobuf, Parquet, schema evolution, data contracts, and large-scale analytical storage
- Background with self-driving car development, simulation, evaluation, or analysis workflows
- Experience with observability, performance profiling, resource usage analysis, and production reliability
- Experience improving legacy systems through incremental migration, deprecation, and architecture cleanup
Benefits
Comp & perks- Equity
- Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
