AIEdge Compute Engineer

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 Planets data to develop new technologies drive revenue power research and solve our worlds 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 AI/Edge Compute engineer to help develop onboard compute and analytics effort on the next generation satellites. . You will work with various teams to finalize the system requirements develop functional specifications and down-select the processors. You will work independently and with others on the development of onboard processing and machine learning algorithms for various Earth Observation applications.. You will collaborate with electrical engineers camera engineers firmware engineers data pipeline and analytics engineers to build and iterate on the solution.

This is a full-time hybrid role which will require you to work from our San Francisco HQ 3 days per week.

Impact Youll Own:

• Develop onboard computer vision and machine learning models that enable real time segmentation feature detection object recognition and geolocation.
• Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms
• Collaborate with other space systems and software engineering teams to implement deep-learning-based object detection systems on pre-processed imagery for identifying characterizing and classifying objects
• Explore and develop new methods for improving detection performance and improving the runtime of inference targeting the NVIDIA Jetson platform.
• Work with internal customers to develop onboard processing and machine learning pipelines for various use cases and classification tasks
• Help to architect and develop the data pipeline and platform supporting onboard processing
• Hardware/software co-development of edge computing solutions for Planets next generation spacecraft
• Own and drive performance metrics (e.g. latency memory bandwidth power)

What You Bring:

• 4 years developing algorithms and solving problems pertaining to image processing computer vision object detection machine learning
• Bachelors degree in Computer Science Computer Engineering Electrical Engineering or other relevant degree
• Experience in software development especially for computationally constrained environments
• Extensive experience programming in Python and/or C with computer vision libraries
• Understanding of version control (eg git) and CI tools
• Proficient in GPU-based computing frameworks (OpenCL/CUDA/TensorFlow) including working with NVIDIAs TensorRT
• Understanding of embedded and high efficiency software architectures
• Experience designing low latency highly performant code
• Experience in hardware and software co-design

What Makes You Stand Out:

• Experience with machine learning on earth observation data sets
• Experience with deployment environments for embedded devices CI and the cloud in machine learning scenarios
• Background in Visual Large Language Models Foundation Models zero/few shot learning and open vocabulary detectors
• Low-level programming experience in CUDA/OpenCL
• Excellent communication and analytical skills
• Ability to work well both autonomously and collaboratively
• Additional education or certifications in in a relevant field of study

Application Deadline:

April 19 2026 at 11:59p PT

EAR/ITAR Requirements:

This position requires access to export-controlled information and as such employment (or hiring of a contractor) is contingent upon the candidates ability 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.

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
• 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 base salary range for this full-time position at the commencement of employment is listed below. Additionally this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Why we care so much about Belonging.
Were 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. Thats why Planet is guided by an ultimate north star of Belongingdreaming big as we approach our ongoing work. If this job intrigues you but youre 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 dont just fill positions we aspire to fulfill peoples 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 youre 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 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.

AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such with the candidates consent select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect ones candidacy.

Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools and we encourage its responsible use. We understand that candidates may use various resources including AI tools to prepare for interviews and assessments. However during any live interview stage or when actively completing assessments for this position the use of AI toolse.g. Large Language Models (LLMs) deep fake technology strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation please contact with your request for assistance. Your message will be confidential and we will be happy to assist you. Violation of this policy may result in disqualification of your application.