Lead Platform Engineer

Lead Platform Engineer - High Performance Computing / HPC / Linux / Python / MLOps

An experienced Lead Platform Engineer (HPC) is required to build and operate the foundational systems for a mission-critical environmental forecasting platform. You will be responsible for the high-performance infrastructure that deploys, runs, and maintains data-heavy machine learning applications, directly impacting the ability to model and predict complex Earth systems.


Apply your engineering skills to a tangible, real-world scientific challenge. Solve Unique Technical Problems: You will face fascinating challenges in data scale and processing that require deep technical thinking. This is an opportunity to build and maintain robust systems designed to handle petabyte-scale datasets and advanced AI/ML workloads.
Build the Foundation: As a key member of the operations team, you will have a significant impact on the reliability, scalability, and technical direction of the company's core machine learning applications. Relocation assistance and a hybrid work model are available for their offices in the Golden, CO , or greater Boston, MA areas.
A generous salary up to $230k + equity + 15% bonus + full benefits package .


My client is a venture-backed, deep-tech company operating at the intersection of aerospace and large-scale data analytics. This data is the lifeblood of their business, enabling them to generate some of the world's most accurate and high-resolution environmental predictions for a range of global industries.


Your primary responsibility is the operational excellence of the core AI/ML applications and computing infrastructure. Design, set up, and maintain the compute and storage infrastructure in both cloud and physical environments.
Ensure the reliability, performance, and scalability of data-heavy, high-performance computing (HPC) applications.
Deploy, run, and maintain large-scale AI/ML models, bridging the gap between model development and production.
Manage and manipulate datasets of 20 TB or larger, ensuring data integrity and availability.
Collaborate closely with machine learning scientists to understand their computational needs and provide a rock-solid foundation for their work.


3+ years in a DevOps, MLOps, or a similar technical position with a focus on high-performance computing and data-intensive workloads.
~ Experience running and maintaining AI/ML foundation models or other existing large-scale AI/ML models in a production environment.
~ Strong foundational knowledge of Python and a deep, practical understanding of Linux.
~ 1+ years of experience fine-tuning and validating existing AI/ML models.
~ Direct experience working with large-scale geographic or geospatial data sets.
~ A demonstrable interest and passion for acquiring new skills in the AI/ML, HPC, and satellite data domains.


If you are interested in this role, please apply with your resume through this site.


MLOps Engineer, Machine Learning Operations, DevOps Engineer, AI/ML Infrastructure, High-Performance Computing, HPC Engineer, Data Engineer, Python, Linux, Big Data, Geospatial Data, Satellite Data, Weather Forecasting, AI Operations, Cloud Infrastructure Engineer, Site Reliability Engineer, SRE, Data Infrastructure, Petabyte Scale Data, Machine Learning Deployment, AI Model Operations, Technical Operations, Scientific Computing, Infrastructure Engineer.


No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment.