General Motors of Canada
Staff Software Engineer, Mapping
General Motors of Canada, Sunnyvale, California, United States, 94087
Employer Industry: Automotive Technology and Autonomous Vehicles
Why consider this job opportunity
Salary up to $285,000
Bonus potential based on company and individual performance
Comprehensive benefits including medical, dental, vision, and retirement savings plans
Opportunities for career advancement and growth within a leading technology organization
Flexible remote or hybrid working arrangements
Chance to contribute to groundbreaking advancements in self-driving vehicle technology
What to Expect (Job Responsibilities)
Architect and implement scalable, reliable distributed backend systems for national-scale mapping Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release Own end-to-end delivery of high-impact projects, including defining milestones and aligning stakeholders Collaborate cross-functionally with various teams to ensure system interoperability Drive technical excellence through design reviews and mentoring engineers
What is Required (Qualifications)
5+ years of experience designing, implementing, and operating scalable distributed systems in production Strong proficiency in Python (optional C++, TypeScript) and system-level programming fundamentals Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA) Proven experience building and deploying distributed systems on major cloud platforms like Google Cloud, AWS, or Azure BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent industry experience
How to Stand Out (Preferred Qualifications)
Experience with mapping, geospatial data, or robotics systems Familiarity with the autonomous vehicle software stack and software safety standards Experience in CI/CD pipeline design and cloud-native architecture Proficiency with Linux systems and container orchestration technologies Knowledge of machine learning data pipelines or HD map labeling infrastructure
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. #J-18808-Ljbffr
What to Expect (Job Responsibilities)
Architect and implement scalable, reliable distributed backend systems for national-scale mapping Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release Own end-to-end delivery of high-impact projects, including defining milestones and aligning stakeholders Collaborate cross-functionally with various teams to ensure system interoperability Drive technical excellence through design reviews and mentoring engineers
What is Required (Qualifications)
5+ years of experience designing, implementing, and operating scalable distributed systems in production Strong proficiency in Python (optional C++, TypeScript) and system-level programming fundamentals Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA) Proven experience building and deploying distributed systems on major cloud platforms like Google Cloud, AWS, or Azure BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field, or equivalent industry experience
How to Stand Out (Preferred Qualifications)
Experience with mapping, geospatial data, or robotics systems Familiarity with the autonomous vehicle software stack and software safety standards Experience in CI/CD pipeline design and cloud-native architecture Proficiency with Linux systems and container orchestration technologies Knowledge of machine learning data pipelines or HD map labeling infrastructure
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. #J-18808-Ljbffr