Software Engineer, Data Platform – Autonomous Vehicles

General Motors

Software Engineer developing the next generation distributed ML data platform for autonomous vehicle technology. Collaborating with data engineers to enhance self-driving car systems.

Posted 7/20/2026full-timeMountain View • California, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $95,200 - $156,150 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing distributed ML data platforms using GCP and open-source frameworks, with a strong focus on data processing frameworks and microservices architecture. Proven ability to mentor junior engineers and drive technical projects while optimizing for performance and cost efficiency.

Highest-signal resume keywords

Distributed Data Platform DevelopmentExpert-Level Proficiency in Java, C++, or PythonData Processing Frameworks (Beam, Spark)Microservices ArchitectureTechnical Project Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Systems DesignData Lake to Lakehouse EvolutionHigh-Throughput, Low-Latency OptimizationCost Efficiency OptimizationOperational Lifecycle Management

Soft Skills

Collaboration with StakeholdersMentoring Junior EngineersTechnical Interviewing

Tools & Technologies

GCPOpen-Source FrameworksMicroservices

Industry Keywords

Data EngineeringMachine LearningData ProcessingCloud Computing

Tech Stack

Tools & technologies

CloudDistributed SystemsGoogle Cloud PlatformJavaPythonSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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