Top Engineering Jobs

Develop and mature next-generation OLED panel technologies for automotive displays. Responsibilities include evaluating pixel and tandem stack architectures, defining technology requirements, validating TCON and driver IC specifications, conducting optical simulations and bench testing, leading supplier testing under automotive conditions, analyzing panel performance data, resolving defects such as Mura and burn-in, and transferring production-ready technologies to Sourcing.

Leads development and maturation of next-generation automotive LCD panel technologies, including TFT backplanes, pixel structures, driver electronics, and halo mitigation. Evaluates emerging architectures, defines technical requirements, collaborates with display and semiconductor suppliers, conducts proof-of-concept builds and environmental validation, analyzes performance data, resolves panel defects, and transfers mature technologies toward sourcing and production readiness.

Develops, validates, transfers, and launches casting manufacturing processes, equipment, tooling, and production sequences. Responsibilities include supporting manufacturing validations, PPAP, build plans, equipment installation, casting defect analysis, troubleshooting, process documentation, statistical optimization, and nondestructive and destructive testing. The role is hands-on and onsite in a casting shop, requires collaboration with technical teams and suppliers, and involves frequent travel of at least 50%.

Owns end-to-end evaluation and validation processes for autonomous vehicle software and end-to-end machine learning stacks. Designs scalable metrics, ELT infrastructure, automated triage strategies, and KPI monitoring using simulation and on-road data. Performs root-cause and behavioral analysis, communicates data-driven recommendations, and connects continuous improvement efforts to product safety cases and compliance standards. Collaborates with AI/ML, simulation, systems engineering, and product teams.

Designs and implements evaluation, validation, testing, and simulation frameworks for autonomous vehicle software and ML systems. The role analyzes simulation and on-road data, develops performance metrics and confidence measures, performs root-cause analysis, automates regression detection, and communicates evidence-based insights to technical stakeholders. It requires strong Python skills, systems-engineering experience, analytical problem solving, and cross-functional collaboration.

Leads supplier automation assessments and maturity strategies across manufacturing environments. Evaluates material handling and flow systems, develops improvement plans, supports sourcing and negotiations, and coordinates suppliers with industrialization, purchasing, and program teams. Owns automation evaluation processes, presents recommendations to senior leadership, and drives cross-functional adoption. Requires manufacturing or automation experience, strong analytical and stakeholder-influence skills, and regular domestic and international travel.

Develop software, frameworks, data pipelines, and quantitative methods to measure confidence in autonomous vehicle validation. Analyze simulation and real-world test data, evaluate coverage and predictive validity, detect regressions, define metrics and decision criteria, and improve validation workflows. The role requires collaboration across simulation, safety, autonomy, and release teams to support risk, readiness, and release decisions with defensible evidence.

Leads GM’s autonomous vehicle evaluation organization, defining strategy, roadmaps, methodologies, infrastructure, metrics, risk assessment, and release-gating approaches. Oversees evaluation of perception, prediction, and planning systems using statistical and machine learning methods, scalable data platforms, workflows, and AI techniques. Builds and manages engineering teams, drives architectural decisions, establishes KPIs, aligns cross-functional stakeholders, and translates system-level results into decisions for engineering and executive leadership.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.