Edge Compute Engineer
About the Role:
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 rolled into one.
In this role, you will join Planet's High Resolution team, directly contributing to our next-generation Constellation Service platform. You will be responsible for building, deploying, and operating critical compute software that supports end-to-end imaging operations within customer environments. You will use your understanding of internal compute requirements as well as customers' environmental-specific constraints to help design and implement a robust system for reproducible deployments across operating environments, to guarantee the reliability, scalability, and availability of our services. To do this, you will partner closely with cross-functional engineering teams to enable and empower the integration of software solutions and the troubleshooting of distributed systems. Ideal candidates will have a passion for programming, photography, remote sensing, earth sciences and geography, with a willingness to learn about geospatial data and concepts.
This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.
Impact You'll Own:
Build and deploy software in customer environments for a next-generation imagery processing system
Own deployments, service orchestration, and documentation for cross platform stakeholders
Scale architecture while ensuring availability of services
Improve reliability and scalability by resolving edge cases, studying failure modes, and writing tests
Participate in on-call rotations to ensure operational excellence
Collaborate cross-functionally with Product, Engineering Management, and engineering teams on system design and roadmapping for scalable and robust solutions.
What You Bring:
Bachelor’s degree in Computer Science or similar
6+ years of experience building services that leverage cloud-native infrastructure and tooling
Experience deploying and maintaining bare-metal K8s through tools such as K3s, RKE2, TalOS
Proficient with Terraform, Ansible, Helm, Kustomize, and/or similar IaC / GitOps tooling
Experience successfully building, releasing, and supporting highly available, consistently performant services
Knowledge of hardware-level implications of on-prem compute
Experience with platform optimization, particularly resource optimization, management, and cluster tuning in a constrained environment
Ability to observe and troubleshoot distributed systems with tools such as Alloy, Prometheus, Grafana, and OpenTelemetry.
Advanced in Python, Bash, and other tooling as appropriate to build services and meet product goals
Excellent communication skills and the ability to work through collaboration with cross-functional engineering teams
Experience working with Jira for task management and progress tracking
What Makes You Stand Out:
Experience working with geospatial data and concepts
Exposure to geospatial raster data processing with tools such as GDAL and NumPy
Experience with CUDA-based GPU programs.
Security expertise in sensitive environments, including implementing zero-trust architectures, hardening Kubernetes clusters, conducting security audits, and deploying workloads in air-gapped environments
#LI-REMOTE
Application Deadline: December 16, 11:59pm PST
EAR/ITAR Requirements:
This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s 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.
New York City + California Salary Range
$153,100—$191,300 USD
San Francisco Salary Range
$162,600—$203,000 USD
US National Salary Range
$142,800—$178,500 USD
About the job
Apply for this position
Edge Compute Engineer
About the Role:
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 rolled into one.
In this role, you will join Planet's High Resolution team, directly contributing to our next-generation Constellation Service platform. You will be responsible for building, deploying, and operating critical compute software that supports end-to-end imaging operations within customer environments. You will use your understanding of internal compute requirements as well as customers' environmental-specific constraints to help design and implement a robust system for reproducible deployments across operating environments, to guarantee the reliability, scalability, and availability of our services. To do this, you will partner closely with cross-functional engineering teams to enable and empower the integration of software solutions and the troubleshooting of distributed systems. Ideal candidates will have a passion for programming, photography, remote sensing, earth sciences and geography, with a willingness to learn about geospatial data and concepts.
This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.
Impact You'll Own:
Build and deploy software in customer environments for a next-generation imagery processing system
Own deployments, service orchestration, and documentation for cross platform stakeholders
Scale architecture while ensuring availability of services
Improve reliability and scalability by resolving edge cases, studying failure modes, and writing tests
Participate in on-call rotations to ensure operational excellence
Collaborate cross-functionally with Product, Engineering Management, and engineering teams on system design and roadmapping for scalable and robust solutions.
What You Bring:
Bachelor’s degree in Computer Science or similar
6+ years of experience building services that leverage cloud-native infrastructure and tooling
Experience deploying and maintaining bare-metal K8s through tools such as K3s, RKE2, TalOS
Proficient with Terraform, Ansible, Helm, Kustomize, and/or similar IaC / GitOps tooling
Experience successfully building, releasing, and supporting highly available, consistently performant services
Knowledge of hardware-level implications of on-prem compute
Experience with platform optimization, particularly resource optimization, management, and cluster tuning in a constrained environment
Ability to observe and troubleshoot distributed systems with tools such as Alloy, Prometheus, Grafana, and OpenTelemetry.
Advanced in Python, Bash, and other tooling as appropriate to build services and meet product goals
Excellent communication skills and the ability to work through collaboration with cross-functional engineering teams
Experience working with Jira for task management and progress tracking
What Makes You Stand Out:
Experience working with geospatial data and concepts
Exposure to geospatial raster data processing with tools such as GDAL and NumPy
Experience with CUDA-based GPU programs.
Security expertise in sensitive environments, including implementing zero-trust architectures, hardening Kubernetes clusters, conducting security audits, and deploying workloads in air-gapped environments
#LI-REMOTE
Application Deadline: December 16, 11:59pm PST
EAR/ITAR Requirements:
This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s 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.
New York City + California Salary Range
$153,100—$191,300 USD
San Francisco Salary Range
$162,600—$203,000 USD
US National Salary Range
$142,800—$178,500 USD