Description
We are looking for an exceptional, hands-on scientist to help develop our instruments, model our observations, create algorithms to process our data, and create the GNSS and radar-based data products that will measure the Earth’s atmosphere and carbon and water volumes on the Earth’s surface (among other things).
GeoOptics is committed to having a diverse workforce.
Responsibilities:
- Collaborate with multidisciplinary scientific and engineering team in design, programming and development of new instruments and data products.
- Develop, test and deploy data processing and evaluation techniques for new data types and instruments.
- Analyze and develop our data gathering and processing stack to maximize the information provided to our customers.
- Evaluate instrument and satellite performance to inform operations, software upgrades and new designs.
- Create documentation and give presentations to internal and external audiences.
The Bottom Line
Our team is made up largely of scientists and engineers who have worked on cutting edge programs in government, in industry and in academia. We’re looking for exceptional people of all levels of experience who broaden our expertise and thrive in a fast-paced, dynamic environment. We’re small, meaning everyone participates in activities across our portfolio, including new technologies in every stage from conception to operations. Adaptability is a must.
Both junior and senior level applicants will be considered. Compensation is commensurate with experience and includes competitive benefits and equity participation.
Quarterly travel to California and/or elsewhere.
Requirements
See below for some of the expertise and skills of interest, but please keep in mind that we don’t expect candidates to have all of these—if you currently have some of the listed qualifications and have a demonstrated capacity to learn fast, you would make a great candidate.
- Masters or PhD in a relevant technical field, e.g. Earth Science, Physics, Engineering, Math, etc.
- Knowledge of the Python scientific data stack
- Experience with AWS or other cloud-computing platforms
- Knowledge of one or more of the following areas:
Remote sensing system development, data processing and/or data analysis.
High-performance computing on non-CPU platforms (including FPGA and GPU).
Remote sensing measurement of oceans, snowpack and/or freshwater bodies of water.
Remote sensing measurement of forests and other ecosystems.
Algorithm development using machine learning and other techniques.
- Ability to respectfully and collaboratively communicate in spoken and written English, while explaining highly technical subject matter.
- A knack for learning quickly from colleagues and the scientific literature.
- Track record of self-starting, taking ownership of projects and juggling multiple priorities.
- Enthusiasm for our mission to create a new way of observing the Earth.
