2 дня назад
AI Infrastructure Engineer (Automotive)
140 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Infrastructure Engineer (Automotive): Building and operating infrastructure for production ML, LLM, and agentic AI workloads with an accent on cloud and on-premise deployment, MLOps, and platform reliability. Focus on designing CI/CD pipelines, automating infrastructure with Terraform, containerizing AI services, and implementing observability and security for high-availability systems.
Location: Charlotte, North Carolina, United States; 4–5 days per week in the office. Regular in-person meetings, events, and occasional travel are required.
Annual base salary: $140,000–$170,000, plus eligibility for an annual performance bonus.
Company
is developing electric pickup trucks and rugged SUVs, including all-electric and range-extender powertrains.
What you will do
- Install, configure, maintain, and operate AI platforms supporting ML, LLM, and agentic AI workloads.
- Deploy AI services across cloud and on-premise environments using Docker and Kubernetes.
- Build and maintain machine learning CI/CD pipelines for training, testing, and deployment.
- Automate infrastructure provisioning with Terraform and Infrastructure as Code.
- Monitor platform performance, reliability, scalability, and observability.
- Apply security updates, access controls, vulnerability remediation, troubleshooting, documentation, and operational runbooks.
Requirements
- Bachelor’s degree in computer science, information technology, or a related field, or equivalent experience; minimum high school diploma, GED, or equivalent required.
- 8+ years of practical experience with LLM platforms, LLMOps, and MLOps.
- Experience deploying and maintaining AI or data platforms in production and supporting high-availability AI systems.
- Strong experience with Terraform, Infrastructure as Code, Docker, Kubernetes, AWS, networking, and CI/CD tools such as GitHub Actions or GitLab CI.
- Scripting experience with Python, PySpark, or Bash, plus knowledge of security practices, patch management, and access controls.
- Experience designing agentic automation workflows and collaborating with engineering, data, and product teams.
Culture & Benefits
- Collaborative, inclusive, entrepreneurial, and fast-paced work environment.
- Medical, dental, vision, and income protection plans.
- 401(k) with employer match and immediate vesting.
- 20 days of planned PTO, 40 hours of unplanned PTO, and 14 company or floating holidays annually.
- Up to 16 weeks of paid parental leave and additional paid leave for bereavement, jury duty, voting, and military service.
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