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Staff Software Engineer, Mapping

  • 위치
    • Remote
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202520182

설명

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View, Sunnyvale], you are expected to report to that location three times a week, at minimum.

About Us

We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we’re combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up—combining robust backend infrastructure with intuitive, performant user interfaces.

 

The Role

We are looking for a Staff Software Engineer with deep expertise in distributed backend systems to join our Mapping Engineering team. You’ll serve as a technical leader responsible for designing and building the scalable systems that power ingestion, storage, access, and delivery of autonomous vehicle maps. You’ll partner closely with EMs, Staff/Principal ICs, and cross-functional teams to define the architecture and deliver next gen mapping capabilities that scale to national deployments. This is a hands-on leadership role requiring strong systems thinking, architecture design, and the ability to guide and mentor engineers across teams. You’ll operate autonomously, lead cross-functional technical initiatives, and ensure the health, scalability, and performance of our critical mapping pipelines and services.

What You’ll Do (Responsibilities)

  • Architect and implement scalable, reliable, distributed backend systems to support 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, aligning stakeholders, and mentoring ICs across functions.

  • Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability.

  • Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation.

  • Diagnose and resolve large-scale system issues across services, data pipelines, and production environments.

  • Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV.

  • Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org.

Minimum Qualifications (Must-Have)

  • 5+ years of experience designing, implementing, and operating scalable distributed systems in production.

  • Bachelors degree in related field or relevant work experience

  • 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 such as Google Cloud, AWS, or Azure.

  • Experience with data orchestration pipelines and ETL mechanisms (eg. airflow)

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience.

  • Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers.

Preferred Qualifications (Nice-to-Have)

  • Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception).

  • Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards.

  • Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture.

  • Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems.

  • Knowledge of machine learning data pipelines or HD map labeling infrastructure.

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 $185,100 to $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.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

이 직무는 재택 기반이지만, 선발된 지원자가 GM 허브에서 특정 거리 이내에 거주하는 경우 주 3회 {또는 관리자가 지정한 다른 빈도로} 출근해야 합니다.

선발된 지원자는 이 직무를 위해 25% 미만의 출장을 다녀야 합니다.

이 직무는 리로케이션 혜택을 받을 수 없습니다. 모든 리로케이션 관련 비용은 최종선정 된 지원자가 부담해야 합니다.

다양성 정보

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공평한 취업 기회 선언 (미국)

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숙소 (미국 및 캐나다)

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