Principal Software Engineer, AI Platform (Infrastructure) - ADAS

Job Description

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We are looking for a technical expert to join our team and enhance the robustness and scalability of the infrastructure to support scaling our Machine Learning workloads.

This role will involve working across various areas, from enhancing underlying HPC infrastructure to optimizing Kubernetes and Kubeflow setups, as well as refining training infrastructure components.

You will collaborate closely with datacenter engineers, ML engineers, and vendors to diagnose and resolve ML infrastructure issues effectively.

Key Responsibilities :

• Enhance the resilience and reliability of our Machine Learning platform infrastructure.
• Optimize Kubernetes clusters and manage Kubeflow deployments.
• Streamline and optimize training infrastructure to improve efficiency and scalability.
• Collaborate closely with cross-functional teams to understand requirements and implement solutions.
• Troubleshoot complex HPC infrastructure issues and implement effective resolutions with partner team.
• Implement best practices for monitoring, logging, and alerting to ensure system health.

Minimum Qualifications :

• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.
• Proven experience (8+ years) in designing and building scalable data platforms and data pipelines.
• Experience optimizing and scaling distributed systems for Machine Learning workloads or equivalent workloads.
• Strong proficiency in managing and optimizing Kubernetes clusters.
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their Machine Learning services.
• Strong problem-solving skills and ability to work both independently and collaboratively.
• Excellent communication skills and ability to interact effectively with stakeholders.

This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.

Compensation :

The salary range for this role is $225,000 and $334,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

An incentive pay program offers payouts based on company performance, job level, and individual performance.

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 aspire to be the most inclusive company in the world. 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.

Benefits Overview :

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information :

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging.

We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.

Equal Employment Opportunity Statements :

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals.

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