Description
Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. This job may be eligible for relocation benefits. We are seeking a technical expert to join our team and lead efforts in designing and implementing robust data ingestion, access, management, and processing systems to power our AI platform. As a pivotal member of our engineering team, you will be instrumental in improving our data infrastructure, particularly focusing on enhancing developer access to vehicle development logs and building efficient data pipelines between on-premises and cloud environments.*Architect and develop a modern system for ingesting and indexing vehicle data from our development and customer fleetDevelop an access abstraction layer that simplifies how developers interact with data.Ensure scalability, reliability, and performance of the system to load and train on large volumes of data efficiently.Automate the extraction, transformation, and loading (ETL) of logs from vehicle systems to a centralized data platform.Design and build a data platform capable of seamless data movement between on-premises data centers and cloud environments (public and private).Utilize technologies such as DreamIO, Spark, and Airflow to orchestrate and monitor data workflows.Provide technical guidance and mentorship to junior team members.Propose and implement additional solutions to optimize data infrastructure and enhance developer productivity.
Additional Description
Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred.Proven experience (8+ years) in designing and building scalable data platforms and data pipelines.Strong proficiency in programming languages such as Python, Java, or C++.Proficiency in ML frameworks such as TensorFlow, PyTorch, or similarHands-on experience with big data technologies (e.g., Spark, Kafka, Databricks) and cloud platforms (AWS, Azure, GCP).In-depth understanding of network stacks, including protocols such as TCP/IP, HTTP, DNS, and othersExpertise in SQL and NoSQL databases, data warehousing concepts, and ETL processes.Comfortable working in highly ambiguous and dynamic environments.This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.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.
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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.
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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.
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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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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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.
