Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- Senior Software Developer building General Motors’ backend services, data pipelines, and map databases. Supporting DOTA and mapping platforms for connected-vehicle and Super Cruise capabilities.
Responsibilities
- Design and develop production-grade backend services and REST APIs supporting DOTA Back Office workflows, map-data delivery, release management, and Production Mapping.
- Build services and data pipelines to ingest, transform, validate, store, version, archive, and distribute map data and metadata.
- Define next-generation map-database foundations, including data models, schemas, interfaces, data lifecycle strategies, partitioning, indexing, query performance, and database-platform evolution.
- Develop software across the full SDLC, including requirements clarification, design, implementation, code review, automated testing, deployment, monitoring, incident response, and continuous improvement.
- Apply software design principles including modularity, maintainability, security, testability, resilience, observability, and separation of concerns.
- Deploy and operate workloads in approved cloud environments using cloud-native patterns, containerization, infrastructure as code, and automated CI/CD.
- Improve reliability, scalability, performance, cost efficiency, and operational readiness of DOTA and map-data services.
- Build automated validation and release-readiness checks for map-data quality and safe production releases.
- Collaborate with mapping, DOTA, data engineering, vehicle software, validation, infrastructure, and product stakeholders.
- Participate in production support through dashboards, alerting, runbooks, root-cause analysis, and incident prevention.
- Mentor engineers through design reviews, code reviews, technical guidance, and knowledge sharing.
- Identify practical opportunities for AI-assisted development and Agentic AI to improve productivity, diagnostics, testing, documentation, and operations.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline; equivalent practical experience may be considered.
- 5+ years of professional software engineering experience developing and supporting production systems.
- Strong proficiency in at least one backend programming language such as Python, Java, Go, C++, or C#.
- Experience designing and implementing RESTful services, APIs, and backend applications.
- Strong database experience, including relational database design, SQL, schema design, data modeling, indexing, query optimization, transactions, and data integrity.
- Experience with one or more NoSQL, distributed, analytical, or cloud-native data technologies.
- Experience with software development fundamentals, object-oriented or equivalent design, algorithms and data structures, concurrency, error handling, and performance tradeoffs.
- Experience across the SDLC, including requirements, architecture/design, implementation, unit and integration testing, code reviews, CI/CD, deployment, and production support.
- Experience developing cloud-based applications using services for compute, storage, networking, security, and monitoring.
- Experience with Git-based development workflows and automated build, test, and deployment pipelines.
- Strong communication and collaboration skills, with the ability to explain technical decisions to engineering and non-engineering partners.
- Experience with Azure and/or Google Cloud Platform.
- Experience with Kubernetes, Docker, Terraform, Databricks, Apache Spark/PySpark, workflow orchestration, or event-driven systems.
- Experience with data-intensive systems, large-scale pipelines, data archiving and retrieval, data lineage, or high-volume content delivery.
- Experience with geospatial data, map databases, HD mapping, ADAS, autonomous vehicles, connected vehicles, OTA systems, or embedded/vehicle software platforms.
- Experience designing systems for high availability, horizontal scalability, disaster recovery, and operational resilience.
- Experience with observability practices, including structured logging, metrics, tracing, dashboards, alerting, and SLO-oriented operations.
- Familiarity with modern AI-assisted software development and Agentic AI concepts.
- Experience evaluating AI-enabled engineering workflows for accuracy, security, privacy, reliability, and responsible adoption.
- GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future.
Benefits
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including health care spending account and wellness incentive.
- Life insurance plans to cover you and your family.
- Company and matching contributions to a Defined Contribution Pension plan.
- GM Vehicle Purchase Plan for you and your family.
- Role-related assessment(s) and/or pre-employment screening where applicable.
- Reasonable accommodations for applicants with disabilities.
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