Senior Software Engineer, Data Platform Job at General Motors (Austin)

Senior Software Engineer, Data Platform

General Motors

Location:
United States , Austin ▼
Bellevue
Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

125000.00 - 234100.00 USD / Year

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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.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

What we offer:

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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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