Job Description
A position within Planet's Edge Compute Team focused on designing, prototyping, and testing onboard data processing modules and algorithms for satellite spacecraft, with opportunities to collaborate on developing edge computing solutions for Earth observation data.
Key Responsibilities
- Develop hardware and software co-development of edge computing solutions for spacecraft
- Pre-process raw imagery onboard satellites for machine learning algorithms
- Collaborate with machine learning teams to implement deep-learning classification systems on imagery
- Explore and improve detection performance and inference runtime for onboard data processing
Requirements
- Experience with computer vision, machine learning, and deep learning-based approaches.
- Ability to deploy algorithms and solutions to solve real-world problems in computationally constrained environments.
- Experience in C, Python, or related tools and system software architecture.
- Currently enrolled in a Master of Science (MS) or Doctor of Philosophy (PhD) program in Electrical Engineering (EE), Computer Science (CS), Physics, or related field.
- Application must have access to export-controlled information, and the candidate must be able to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.
- This is a temporary, part-time position expected to last 12 months.
- Position is remote and based in the United States; if located near an office, the candidate is expected to work from that office 3 days per week.
Benefits & Perks
Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off in addition to holidays and company-wide days off
16 Weeks of Paid Parental Leave
Wellness Program and Employee Assistance Program (EAP)
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Commuter Benefits if local to an office
Paid Volunteering Time Off
Discretionary short-term and long-term incentives bonus and equity (potentially)
Ready to Apply?
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