Senior ML/AI Engineer - Observability

Hybrid Sunnyvale, California, United States of America Austin, Texas, United States of America Warren, Michigan, United States of America Full time

JR-202613387

Job Description About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. The Role We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and is able to effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This engineer will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance. The Team As a part of the AV Developer Productivity Org, the AV Agentic Developer Engineer is responsible for creating and maintaining a robust, reliable, and cohesive inner loop development experience for AV developers at GM to optimize the rate at which quality code is produced at Cruise. We achieve through a combination of internally developed tools, vendor tools, and vendor tool integrations. The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance. What You’ll Do Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems. Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability. Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively. Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors Influence the team’s technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these Guide the team to find the right balance between delivering impact and addressing technical debt Mentor and grow engineers on the team and across the organization Your Skills & Abilities (Required Qualifications) 5+ years of experience designing, building, and operating production systems at scale in the cloud Bachelors Degree in Computer Science or related field or equivalent work experience Understanding of AI Engineering principles and concepts Experience designing highly scalable, reliable, and maintainable services Experience writing in effective Go or other equivalent languages at production scale Understanding of Unix/Linux, SSH, and networking fundamentals Attention to detail, and a desire to improve processes and systems around you Ability to lead and influence others, both internal and external to the team Principled reasoning and the ability to research, document, communicate, and defend proposals, and provide and take critical feedback Ability to effectively make trade-offs and communicate the reasoning Ability to manage competing priorities, focus on shipping, and work effectively under pressure Passion for mentoring and growing junior engineers Passion for leveling up the overall efficiency and effectiveness of the team Passion for self-driving technology and its potential impact on the world What Will Give You a Competitive Edge (Preferred Qualifications) Experience working with GCP, AWS, or Azure Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing) Skilled in defining and instrumenting SLIs and SLOs Own or contribute to Open Source projects Passion for self-driving technology and its potential impact on the world 5+ years of experience designing, building, and operating production systems at scale in the cloud 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 compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $178,420 to $230,500. The actual base salary a successful candidate will be offered within this 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. Benefits: 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. 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}. This job may be eligible for relocation benefits. 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. 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