Description We're AV Logging and Data Recording within AV Platform Core at General Motors. We build the systems that provide observability across our development and retail fleets. Our data powers AV debugging, validation, fleet operations, and model training, with a strong focus on privacy, data quality, reliability, and developer experience. As a Senior Software Engineer, you will provide technical leadership for the software that connects our development fleet and retail fleet logging systems. You will help define common concepts, libraries, APIs, and platform components across C/C++ systems running on Linux and QNX-based ECUs, ensuring reliable, scalable, and privacy-aware data recording and offload to backend systems. What you'll do - Lead the design and implementation of reliable, high-performance real-time data collection, processing, and routing systems for automotive edge devices. - Define common platform abstractions, libraries, and APIs that bridge development and retail fleet logging use cases. - Set technical direction for QoS, backpressure, data privacy, fault handling, observability, and performance reproducibility across logging components. - Build developer-facing APIs, tooling, and documentation that improve correctness, integration velocity, and long-term maintainability for internal customers. - Partner with OS, drivers, safety, controls, perception, tooling, cloud/backend, and privacy teams to deliver end-to-end platform capabilities. - Drive production rigor through code review standards, test strategy, integration testing, soak testing, performance gates, rollout/rollback planning, and operational readiness. - Mentor engineers, lead design reviews, and raise the technical bar for systems engineering within AV Logging and Data Recording. Your Skills & Abilities (Required Qualifications) - BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. - Significant experience building systems-level software in C and modern C++. - Deep understanding of concurrency, memory management, performance profiling, low-latency systems, and low-contention design patterns. - Experience designing IPC, messaging, or distributed data systems, including serialization, flow control, backpressure, QoS, and failure handling. - Strong ownership of production-quality software, including testing strategy, CI/build systems, observability, debugging, and operational readiness. - Demonstrated ability to lead technical design across teams and influence engineering direction without relying solely on authority. What Will Give You a Competitive Edge (Preferred Qualifications) - Experience with automotive, robotics, AV, embedded Linux, QNX, or safety-adjacent systems. - Experience with high-throughput sensor data, telemetry, logging, data recording, or data offload pipelines. - Familiarity with privacy-preserving data collection, data retention policies, or fleet data governance. - Experience with Bazel, CMake, CI systems, artifact/versioning strategies, and large-scale monorepo development. - Track record mentoring engineers and improving engineering practices across a team or platform area. 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 $129,400- $198,400. 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 a 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. Total Rewards | 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 General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role Description We are seeking a detail-oriented Male Cantonese Speech Data Contributor to support AI and machine learning initiatives through the creation of high-quality speech recordings. These recordings will be used to improve speech recognition systems, virtual assistants, and language technologies. - Record scripted speech prompts and content in Cantonese. - Produce natural, clear, and accurate voice recordings. - Follow pronunciation standards and recording protocols. - Review recordings for completeness, consistency, and quality. - Meet assigned recording targets and deadlines. - Report technical issues or script concerns when necessary. - Maintain accuracy across multiple recording sessions. Qualifications - Native Cantonese-speaking male. - Excellent articulation and pronunciation skills. - Strong reading comprehension and attention to detail. - Reliable internet connection and quiet recording environment. - Ability to work independently and follow detailed instructions. - Basic computer proficiency. Requirements - Experience in speech data collection, AI training projects, transcription, annotation, or language-related work. - Familiarity with recording software and online recording platforms. - Strong quality control and attention to detail. - Professional microphone and recording setup. Company Description

Role Description We are looking for an experienced Data Engineer with strong expertise in Data Modeling to design and maintain enterprise data models supporting analytics and reporting. The ideal candidate will have hands-on experience in dimensional data modeling, SQL, business requirement gathering, and data analysis, along with exposure to modern cloud platforms such as Google Cloud Platform (GCP). Key Responsibilities - Design and maintain Conceptual, Logical, and Physical Data Models (CDM, LDM, and PDM) based on business requirements. - Develop dimensional data models using Star and Snowflake schemas for enterprise reporting and analytics. - Perform data analysis, profiling, and business requirement gathering to identify entities, relationships, facts, and dimensions. - Prepare Source-to-Target Mapping (STTM) documents, including transformation logic and business rules. - Define data grain, KPIs, measures, hierarchies, and Slowly Changing Dimension (SCD) strategies. - Collaborate with Data Engineers, Business Analysts, and stakeholders to ensure accurate implementation of data models. - Support enterprise data warehouse design across Bronze, Silver, Conformed, and Gold layers. - Implement data quality validation and reconciliation rules. - Contribute to metadata management, data cataloging, business glossary, data dictionaries, lineage, and technical documentation. - Perform impact analysis for source system and data model changes. - Ensure adherence to enterprise data modeling standards and best practices. Qualifications - Strong experience in Dimensional Data Modeling. - Expertise in SQL and Data Analysis. - Experience gathering and translating business requirements into technical data models. - Hands-on experience with data modeling tools such as ERwin, ER/Studio, or equivalent. - Strong understanding of Data Warehousing concepts. - Excellent analytical, problem-solving, and communication skills. Requirements - Experience with Google Cloud Platform (GCP) (Good to Have). - Domain knowledge in Supply Chain or Finance (Good to Have). - Exposure to enterprise data governance and metadata management (Good to Have). Benefits - Opportunity to work on enterprise-scale data engineering projects. - Collaborative and innovation-driven work environment. - Exposure to modern cloud and data technologies. - Continuous learning and career growth opportunities. - Flexible remote work environment.

Role Description We are looking for an experienced Data Engineer with strong expertise in Snowflake, DBT, SQL, and Data Warehousing to build scalable data transformation pipelines and modern cloud-based data platforms. The ideal candidate will have hands-on experience in designing enterprise data warehouse solutions, optimizing Snowflake environments, and implementing DataOps best practices. Key Responsibilities - Design, develop, and maintain modular DBT models, including staging, intermediate, and data marts. - Build and optimize scalable ETL/ELT data pipelines and data ingestion frameworks. - Design and maintain Snowflake schemas, data models, and transformation workflows. - Implement and manage Snowpipe, Streams, Tasks, and Virtual Warehouses for efficient data processing. - Develop and optimize SQL queries and DBT models for high performance. - Implement data quality checks, testing frameworks, and data validation using DBT. - Manage CI/CD pipelines for automated DBT deployments and Snowflake schema changes. - Collaborate with Analytics Engineers, Data Analysts, and business stakeholders to translate business requirements into scalable data solutions. - Implement role-based access control (RBAC), security policies, and secure data sharing within Snowflake. - Troubleshoot and optimize data pipelines, SQL queries, and performance bottlenecks. - Maintain data lineage, documentation, and enterprise data standards. Qualifications - 8–10 years of experience in Data Engineering. - Strong expertise in Snowflake, DBT Framework, and SQL. - Experience building Enterprise Data Warehouse (DWH) solutions. - Strong understanding of Dimensional Data Modeling, Star Schema, and data warehousing concepts. - Experience designing ETL/ELT pipelines and data ingestion frameworks. - Hands-on experience with Linux/Unix Shell Scripting. - Experience with scheduling tools such as Control-M, Autosys, or equivalent. - Strong analytical, debugging, and problem-solving skills. Good to Have - Exposure to Databricks. - Experience with cloud data platforms. - Knowledge of CI/CD tools such as GitHub Actions, GitLab CI, or DBT Cloud. - Familiarity with Power BI. - Excellent communication and stakeholder management skills. Benefits - Work on enterprise-scale cloud and data engineering projects. - Opportunity to build modern data platforms using Snowflake and DBT. - Collaborative and innovation-driven work environment. - Continuous learning and career growth opportunities. - Flexible remote work environment.