Senior Software Engineer, Data Platform (Autonomous Vehicles) job opportunity at General Motors.

Home Jobs In United States Of America Tag: Data Platform (Autonomous Vehicles) Senior Software Engineer, Data Platform (Autonomous Vehicles) position at General Motors


DatePosted 5 Days Ago bot
General Motors Senior Software Engineer, Data Platform (Autonomous Vehicles)
Experience: 7-years
Pattern: full-time
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Data Platform (Autonomous Vehicles)

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loacation Austin, Texas, United States of America, United States Of America
loacation Austin, Texas,..........United States Of America

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA or the Greater Seattle Area three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role We are   seeking   a highly skilled and experienced Senior Software Engineer to join our Autonomous Vehicles team. In this role, you will play a critical part in designing, developing, and   maintaining   the robust data platforms essential for the development and deployment of self-driving car technology.     What You’ll Do Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks.   Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption. Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap.    Champion engineering & operational excellence by continuously improving systems and processes. Actively   participate   in team’s planning, code   reviews   and design discussions. Conduct technical interviews, onboard new and mentor junior engineers.   Your Skills & Abilities (Required Qualifications) BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience. 7+ years   in building petabyte-scale distributed data platforms, specifically evolving Data Lakes into   Lakehouses   using major cloud providers and open-source frameworks. Expert-level   proficiency   in   Java, C++, or Python , with a proven   track record   of designing and implementing robust, distributed systems.   Expertise   in implementing Data Processing Frameworks (Beam, Spark) and serving layers   optimized   for high-throughput, low-latency delivery.   Experience   optimizing   services for cost efficiency, performance & reliability. Experience with Micro services architecture and proven ability to manage the full operational lifecycle of systems.     What Can Give You a Competitive Advantage (Preferred Qualifications) Familiarity with full ML model lifecycle (feature engineering, training, validation, deployment, monitoring, etc.). Passionate about self-driving technology and its potential impact on the world. Experience delivering   (100+) petabyte-scale   ingestion, processing, and serving architectures. Experience with   SQL   engines /   queries.   This job may be eligible for relocation benefits. Compensation:  The expected base compensation for this role is: $125,000 - $234,100. Actual base compensation within the identified 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.  #LI-CC1 



 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. 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 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.

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