Agerpoint Is a Fast Growing, Mid-Sized, Agriculture Technology Company Located in Daytona

AGERPoint-- Defining a new technological space for the growers' industry with cutting-edge information solutions and expertise.
We’ve developed a series of industry-leading technologies that are redefining data acquisition, analysis, and translation for growers, giving personnel at all levels access to mission critical data they need to drive a business forward.

AGERpoint is a fast growing, mid-sized, agriculture technology company located in Daytona Beach, FL.

We are highly focused on the creation of information products to help the growers of permanent crops (trees, vines and bushes). Our company sits at the intersection of time honored techniques in agriculture and some of the most advanced laser technologies available to capture unprecedented amounts of data.We then use information analytics to derive meaning from big data for our customers to use in every facet of their organization.

Job Description:

AGERpoint is seeking a Lead High Performance/Throughput Computing Architect/Engineer with a history of cutting-edge advancements in developing HPC and HTC environments. This is a unique opportunity for a well-qualified, creative candidate to produce a custom solution for AGERpoint’s massive computational requirements from the ground up. The HPC Engineer will produce an intelligent optimization system utilizing AGERpoint’s vast computational resources to generate real-time intelligence from seriously big data (multiple petabytes).In this role, you will:

·  Develop a custom cluster management solution from the ground up integrating data stored in multiple forms (e.g., Hadoop, Spark, NoSQL, and SQL)

·  Simultaneously optimize utilization of multiple resources (CPUs, GPUs, RAM, and Disk IO) from a diverse resource pool.

·  Create next-generation responsiveness to reallocate resources, on the fly, to adapt to rapidly changing priorities.

·  Enable in-depth job tracking and analytics to drive future improvements.

Desired Skills and Experience

·  Bachelor’s Degree (Master’s or PhD preferred) in Computer Science, Mathematics, hard Sciences, or related field.

·  Ability to set-up and maintain the overall (network) security of the designed HPC systems.

·  A proven track record of solving big data computational challenges by engineering novel solutions.

·  Proficient with multiple languages and architectures present in an enterprise architecture (e.g., C/C++, C#, Java, Python, Linux, and Windows).

·  Strong analytical and communication skills with an enthusiasm for teamwork and the ability to meet deadlines.