Staff Full Stack Engineer, Platform
Netradyne - San Diego, CA
Posted Mar 11, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Staff Full Stack Engineer, Platform San Diego, CA Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. POSITION SUMMARY: We are looking for a staff full-stack engineer whose core strength is backend systems and infrastructure. You will own the platform that ingests, processes, stores, and serves large volumes of video and sensor data. The primary data sources are edge/IoT devices operating in the field. You need to understand how to design systems that work reliably under those conditions. You care about reliability, scalability, and cost efficiency, and you are comfortable making architectural decisions early when requirements are still evolving. Privacy and security engineering is a first-class concern for this product, and you will own that infrastructure. If you have ML engineering experience, there are opportunities to apply it - but it is not required. This is a small, early-stage team. You will design systems from scratch, make foundational architecture choices, and own entire subsystems end-to-end ESSENTIAL FUNCTIONS: - Device-to-cloud data platform: the systems that receive data from edge devices in the field, process it, store it efficiently, and make it queryable. This includes handling store-and-forward uploads, media pipelines, metadata indexing, tiered storage, and APIs that serve rich content to
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