Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
Planet is working on the next generation small satellite bus that will host a high resolution optical imaging payload (Pelican) and a hyperspectral payload (Carbon Mapper). We are seeking an Associate Computer Vision Engineer to work on the onboard compute and analytics effort on the next generation satellites. You will work with a multidisciplinary team to design, prototype, test, and deploy geolocation algorithms and hardware/software solutions for processing data directly onboard satellites. This position offers the unique opportunity to work at the intersection of hardware, software, and machine learning to tackle challenging problems in Earth observation.
This is a part-time, temporary position based remotely in the United States.
Impact You'll Own:
- Combine neural-net based geolocation with GNSS, IMU & star tracker information to improve geolocation accuracy to sub-15 meters
- Develop SLAM-like techniques incorporating optical flow and constrained optimization for spatial consistency
- Calibrate and align main camera data with cloud camera data using modern transformer-based feature matching
- Curate datasets of image pairs for fine-tuning transformer-based models
- Develop and optimize neural nets for matching images at different scales and perspectives
- Investigate compression of key-point data into neural net weights for satellite storage and transmission
- Design and prototype embedded C++ software for satellite systems with a focus on real-time performance, robustness and power efficiency
- Conduct hardware in the loop (HIL) testing and validate algorithms on flight-equivalent hardware in simulated environments
- Perform rigorous testing and validation to ensure algorithms meet mission-specific accuracy and energy constraints
- Optimize system performance for cost, latency and onboard computation
- Document methodologies, results and findings in high-impact publications & contribute to the academic and applied geolocation research community
What You Bring:
- BS or MS/PhD in Electrical Engineering, Computer Science, Physics, or a related field.
- Proficiency in Computer Vision algorithms including SLAM, optical flow and geolocation techniques
- Proficiency in Python and C++.
- Proficiency with Deep Learning frameworks such as TensorFlow/Pytorch
- Familiarity with CUDA
- Understanding of satellite based sensors (eg: GPS, IMU, star-tracker) and their data fusion
- Experience developing and deploying algorithms in computationally constrained environments.
- Experience with hardware/software integration and system architecture.
What Makes You Stand Out:
- Experience with satellite imaging systems and geolocation on earth observation data sets
- Background in constrained optimization
- Low-level programming experience in CUDA/OpenCL
- Excellent communication and analytical skills
- Self-motivated and a great teammate
Application Deadline:
January 31, 2025 by 11:45pm PT.
#LI-REMOTE
Benefits While Working at Planet:
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
- 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
- Remote-friendly work environment
- 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)
- Volunteering Paid Time Off
Compensation:
The US hourly wage for this part-time, temporary position at the commencement of employment is listed below. The range displays our typical range for new hire wages in US locations only. Your recruiter can share more during the hiring process.
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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