Senior Software Engineer, Data Platform (Autonomous Vehicles)

Job Description

The Role

We are seeking a highly skilled and experienced Senior Software Engineer to join our Autonomous Vehicles Data 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

·       Own and Improve deployment of key Autonomy Data platform services used in AV model training, mining, labeling and replay.

·       Champion operational excellence via SLO/SLI definition and measurement including leadership in incident and support response.

·       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.  

·       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.

·      5+ years in building and supporting large-scale data platforms, including deployment of high-performance services supporting Petabytes of weekly data serving.

·       Expert-level proficiency in Java, C++, Go or Python, with a proven track record of designing and implementing robust, distributed systems. 

·       Expertise in deployment and managing services in at least one major public cloud provider (Azure, GCP or AWS) utilizing automation and observability for operational excellence

·       Experience optimizing services for cost efficiency, performance & reliability.

·       Experience with multi-language hosted services architecture and proven ability to manage the full operational lifecycle of systems. 

What Can Give You a Competitive Advantage (Preferred Qualifications)

·       Experience in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery. 

·       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.

 #LI-KL2

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The salary range for this role is $153,200 - $269,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as the geography of the selected candidate.

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 and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Relocation benefits are available for candidates who qualify under company policy.



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

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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.

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