Principal Software Engineer, Mapping - ADAS

Sorry, this job was removed at 06:26 p.m. (CST) on Tuesday, Sep 24, 2024
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Detroit, MI
Hybrid
225K-335K Annually
Internship
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role

Description
Remote OR Hybrid: This role is based remotely but if you live within a 50-mile radius of [Mountain View, Austin, Atlanta, Detroit, Warren, Milford], you are expected to report to that location three times a week, at minimum.
We are looking for a highly experienced Software Engineer to join our Mapping team. In this role, you will be responsible for optimizing and enhancing our mapping pipelines and on-car mapping software to improve efficiency and reduce operational overhead. Your expertise will play a critical role in streamlining our mapping processes, ultimately helping us achieve significant cost savings and operational efficiencies.

  • Analyze existing mapping pipelines and identify areas for optimization and efficiency improvements.
  • Design and implement solutions to streamline data ingestion, processing, and output generation within the mapping pipelines.
  • Identify performance bottlenecks and implement optimizations to enhance throughput and reduce processing times.
  • Architect scalable solutions that can handle large volumes of data while maintaining reliability and robustness.
  • Implement monitoring and alerting mechanisms to proactively identify and address issues within the mapping pipelines.
  • Develop automation scripts and tools to streamline deployment, monitoring, and maintenance of mapping pipeline components.
  • Provide technical leadership and guidance to junior engineers.


Additional Description

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
  • 8+ years of experience in software engineering with a focus on large-scale data processing or mapping technologies.
  • Proficiency in programming languages such as Python, C++, Java, or similar, and experience with relevant frameworks and libraries.
  • Strong background in optimizing performance and scalability of distributed systems and data pipelines.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Comfortable working in highly ambiguous and dynamic environments


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 $225,000 and $334,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.


An incentive pay program offers payouts based on company performance, job level, and individual performance.
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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, 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.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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 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.

What the Team is Saying

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The Company
HQ: Detroit, MI
165,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

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