Luminar is a global automotive technology company ushering in a new era of vehicle safety and autonomy. For the past decade, Luminar has built an advanced hardware and software/AI platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. From consumer vehicle programs with Volvo Cars and Mercedes-Benz to technology partnerships including NVIDIA and Mobileye, Luminar is poised to be the first automotive technology company to enable next-generation safety and autonomous capabilities for global production vehicles. For more information please visit www.luminartech.com.

Team Overview

We are seeking a Senior MLOps Engineer to design, build and maintain machine learning infrastructure for autonomous driving applications.

Responsibilities

• Design and build MLOps pipelines to support data selection, training, experimentation, optimization, continuous integration, deployment, verification, validation, and monitoring of ML models in production 
• Enable ML teams to be highly productive and deliver safe AI products
• Build an internal ML Platform which would help ML teams to train large distributed DL models on scale.
• Follow the best MLOps practices of automation, monitoring, scale and safety
• Evaluate the latest state of the art tools and frameworks in the ML ecosystem

Minimum Qualifications

• BS or MS in Computer Science and Engineering, or a related field
• 4+ years of experience in software development or DevOps fields
• 2+ years MLOps experience
• Proven track record building robust and scalable ML pipelines from scratch
• Deep understanding of data science and ML and knowledge of the basic tools (Python, Pytorch, Pandas, Numpy)
• Experience with cloud native infrastructure (AWS, GCP, Azure)
• Experience with orchestration tools (ArgoWorkfglows, Airflow, KubeFlow, Docker, Kubernetes)
• Excellent interpersonal, verbal and written communication skills
• Enjoy working within a dynamic and continuously evolving environment, 
• High energy personality, with a strong and demonstrable work ethic

Preferred Qualifications

• Experience working in automotive, self-driving or IoT projects
• Expert level knowledge of ML training and experimentation tools (Weights and Biases)
• Experience with on-prem infrastructure and datacenter management
• Knowledge of cloud ML platforms
• Extensive Linux troubleshooting experience
• General networking knowledge and troubleshooting experience
• Able to work successfully in cross-functional teams, especially across organizational and geographical boundaries
• Experience in working in Agile teams and within frameworks such as SAFe

Industry: Computer Software, Automotive, Autonomous Systems

Employment Type: Full-time

Job Functions: Engineering

Luminar is an equal opportunity employer.  All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, service in the military, or any other characteristic protected by applicable federal, state or local laws.  We will make a reasonable accommodation for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business.  Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview at the company.

At Luminar, your base pay is one part of your total compensation package. This role pays a base between $142,000 and $199,000* per year. Within this range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. You will also be eligible to receive other benefits including: equity in the form of restricted stock unit awards, comprehensive medical and dental coverage, 401k plan, life and disability benefits, flexible time off, paid parental leave, and tuition reimbursement for formal education related to advancing your career at Luminar. The specific programs and options available to an employee may vary depending on date of hire and schedule type.

*Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.