Senior Software Engineer, Data Platform (Autonomous Vehicles)
Role details
Job location
Tech stack
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]., 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
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Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks.
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Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption.
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Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team's strategic roadmap.
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Champion engineering & operational excellence by continuously improving systems and processes.
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Activelyparticipatein team's planning, codereviewsand design discussions.
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Conduct technical interviews, onboard new and mentor junior engineers.
Requirements
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BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience.
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7+ yearsin building petabyte-scale distributed data platforms, specifically evolving Data Lakes intoLakehousesusing major cloud providers and open-source frameworks.
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Expert-levelproficiencyin Java, C++, or Python, with a proventrack recordof designing and implementing robust, distributed systems.
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Expertisein implementing Data Processing Frameworks (Beam, Spark) and serving layersoptimizedfor high-throughput, low-latency delivery.
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Experienceoptimizingservices for cost efficiency, performance & reliability.
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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)
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Familiarity with full ML model lifecycle (feature engineering, training, validation, deployment, monitoring, etc.).
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Passionate about self-driving technology and its potential impact on the world.
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Experience delivering(100+) petabyte-scaleingestion, processing, and serving architectures.
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Experience withSQLengines /queries.
Benefits & conditions
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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.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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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.
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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.
