Software Engineer, Data Platform (Autonomous Vehicles)

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 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 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
• 3+ 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: $95,200 - $156,150. 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. 

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