Job Description

About the Role

We are seeking an experienced StaffSoftwareEngineerto lead the technical direction forthe datacollectionand its ecosystem of integrations, automations, and end-to-end observabilityScaling data collectionis key toenabling autonomous and eyes off driving

In this role, you will design and build the platform that ensures high-quality data flows from vehicles into our AI/ML and analytics stacks, with strong guarantees around data quality, traceability, and operational excellence

You will work closely withAI research engineering, data engineering, vehicle engineering, data science,data quality,productand operations teamsto deliver robust, observable services and user experiences that scale across General Motors programs.

WhatYou’llDo

• Own thesystemend-to-end– architecture, implementation, and operations for web UI, APIs, and backend services that power data collection and vehicle configuration workflows.

• Design and implement integrationsbetween UXand core platforms (data warehouse/lake, streaming pipelines, vehicle telemetry, configuration management, API gateway, identity & access, taxonomy/metadata services).

• Build automations and orchestrationfor config rollout, data ingest, validation, and feedback loops (e.g., scheduled jobs, event-driven workflows, rule-based triggers).

• Establish end-to-end observability metrics, logs, traces, and dashboards that cover data flows fromvehiclesendpoints to downstream consumers.

• Raise the bar on data quality and governanceby defining and enforcing contracts, validation checks, and schemas across varioussystems.

• Define and evolve system architectureto meet GM’s standards for security, compliance, and reliability, including access control, auditability, and PII-safe data handling.

• Create and standardize APIsand event schemas that make an easy-to-integrate platform for other applications and services.

• Partner cross-functionallywith:

• AI research teamto assessdata integrity and mining quality to ensure we collectedrightamount of data via the data collection platform.

• Data Engineeringon ingestion, transformation, and storage patterns.

• Vehicle Engineeringon in-vehicle integration and configuration lifecycles.

• Data Science & Analyticson data access patterns, features, and experimentation needs.

• Data Quality & Taxonomy teamson metrics, definitions, and consistent metadata.

• Define and track platform metrics(reliability, latency, throughput, data quality scores, correctness of deployments) and create a roadmap for scale, resilience, and faster development/deployment cycles.

• Drive the full project lifecycle– requirements, design docs, prototyping, implementation, code reviews, rollout, monitoring, and continuous improvement.

• Review and improve engineering practices– technical designs, code quality, documentation, and development processes across the team.

• Mentor and grow engineers, influence technical direction across adjacent teams, andparticipatein hiring.

Your Skills & Abilities (Required Qualifications)

• Proven experience owning high-availability, mission-critical servicesin production, including on-call participation and incident response.

• Track recordof leading large technical initiativesfrom concept to production and iterative evolution (e.g., new platform, major re-architecture, or multi-system integration).

• Ability to identifyand decompose broad technical, functional, and business challengesinto clear, executable initiatives across multiple teams.

• Experience designing enterprise, systems, and integration architectures(APIs, event-driven systems, data flows, security boundaries, contracts) andsettingassociated standards and frameworks.

• Strong programming experience in Python, Java, or Go(2+ of these preferred), including building backend services and APIs.

• Experience with cloud infrastructure(e.g., GCP/Azure/AWS), including:

• Infrastructure-as-code, automation, and configuration management.

• CI/CD pipelines, artifact management, feature flags, and rollout strategies.

• Experience building production-level frontend applicationsusing React, Angular, or similarframeworks.

• Strong understanding of JavaScript/TypeScriptand modern frontend fundamentals (state management, performance, accessibility, testing).

• Hands-on experience with observability tooling(metrics, logging, tracing, dashboards) and using telemetry to drive product and reliability decisions.

• Comfort working with data platforms(data warehouses/lakes, streaming systems, ETL/ELT) and designing robust interfacestothem.

• Expertiseinintegration,automation, and platform thinking– you enjoy making complex systems simpler, safer, and more reusable.

• BS, MS, or PhD in Computer Science, Engineering, Math, or related field, or equivalent practical experience.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with REST/JSON andGraphQLAPIs, webhooks, and event-driven or streaming architectures (e.g., Kafka, Pub/Sub).

• Experience building internal tools and platformsthat are core to engineers’ or operators’ daily workflows.

• Experience with data modeling, taxonomy, and metadata systemsfor analytics, ML, or large-scale data platforms.

• Familiarity with data quality frameworks(validation, contracts, lineage, anomaly detection) and tools.

• Experience with ML, experimentation, or data science workflows, especially around data collection and feature pipelines.

• Priorworkon end-to-end observabilityinitiatives (defining SLOs, setting up dashboards, alerts, and runbooks).

• Self-motivated, strong at execution, and oriented toward clear, measurable impact

• Excellent communication skills to:

• Align and influence cross-functional stakeholders.

• Resolve conflicts and build consensus.

• Communicate trade-offs, risks, and technical decisions to both technical and non-technical audiences.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $218,800-$335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Accommodations

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