Radar Software Engineer

Umbra builds next-generation space systems that observe the Earth in unprecedented fidelity. 

Our mission: Deliver global omniscience.

To stay ahead of climate change, geopolitical risk, and other major crises and issues, we need a global understanding of what is changing, where, and how fast. Umbra provides easy access to the highest quality commercial satellite data available, which is an indispensable tool for the growing number of organizations monitoring the Earth. We empower our customers to create the solutions that inform, inspire, and address our planet’s most pressing needs. We’re helping to create a brand new industry that has never meaningfully existed before. 

We are looking for someone to join Umbra’s Radar Processing Group as a Radar Software Engineer to aid in the development of processing RF data. As a Radar Software Engineer, your duties will include developing, implementing, and maintaining production quality SAR algorithms.

Key Responsibilities

• Develop and improve radar algorithms including: MTI, Passive RF, and SAR
• Write production quality software with unit and integration testing
• Support commercial and government teams in modeling, simulation, mission design, and systems analyses for current and future architecture
• Monitor, evaluate and improve production throughput for cost and timeliness efficiency
  

Basic Qualifications

• Bachelor's degree or equivalent experience in a related STEM field (such as electrical engineering, physics, or computer science)
• 5 or more years experience signal / image processing development
• 5 or more years experience with Python’s scientific stack: Numpy, Scipy, and Numba
• Experience with version control software such as Git
• Excellent communications skills, ability and desire to work collaboratively in a team environment, and willingness to learn new skills and technology
• Excited to share knowledge and experience across the engineering team
• Comfortable working in a dynamic and fast-paced development environment
  

Desired Qualifications

• Advanced degree in a relevant field
• Machine learning experience
• 10 or more years experience with Python’s scientific stack: Numpy, Scipy, and Numba
• Strong software development background, C/C++, Rust, CUDA
• Significant background with SAR processing

Benefits

• Flexible Time Off, Sick, Family & Medical Leave
• Medical, Dental, Vision, Life, LTD, STD (employer funded)
• Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded)
• 401k with 3% non-elective company contribution
• Stock Options
  

Umbra is an Equal Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Employment Eligibility Verification:

In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire.

ITAR/EAR Requirements:

This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. § 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S.Department of Commerce as applicable.

Pay Transparency:
This job posting may span more than one career level. To provide greater transparency to candidates, we share base ranges for all job postings regardless of state. We set standard base pay ranges for all roles based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by skills, responsibilities and relevant work experience.