Software Engineer, Systems Architecture
Valinor Enterprises, Inc. · USA
About this role
## Software Engineer, Systems Architecture ### About the Role Valinor is a defense and government technology company focused on solving the quiet, unaddressed problems that impact national strength, stability, and security. Backed by General Catalyst, Founders Fund, and Friends & Family Capital, Valinor was founded in 2024 and is building a new product in stealth. We’re looking for a software engineer to own the architecture, data handling, and product layer of the software stack at one of Valinor’s product companies. The system turns raw sensor data into a usable, trusted picture for the end user. You’ll work directly with the General Manager and alongside a small engineering team to rapidly develop a new product, partnering with product enablement to stand up infrastructure and management. This is a step-up role: you’ve already helped build systems like this (edge/embedded software, sensor/data pipelines, detection/classification), and you’re ready to own the architecture end-to-end for the first time. ### What You’ll Do 1. **Overall Software Architecture Design** - Design end-to-end architecture connecting product data flow, processing, and user-facing product. - Define clean interfaces across sensor integration and APIs so the system works as a coherent whole. - Make and document core architecture decisions early to support iteration as product needs evolve. 2. **Data Handling & Pipeline Architecture** - Architect the edge vs. cloud split (what runs on-system under power/compute constraints vs. what is backhauled). - Stand up time-series and object storage for sensor/telemetry data and build reliable ingestion pipelines. - Design for bandwidth-constrained, compression-aware transport. - Implement data versioning and observability to maintain trust as sensor types expand. 3. **Detection, Classification & Pattern-of-life** - Work across sensor modalities (e.g., acoustic, EO/IR, radar, RF/AIS) to build detection/classification capability. - Start with classical signal-processing where appropriate, and apply ML where it earns complexity. - Contribute to pattern-of-life anomaly detection. - Fuse multi-modal signals into a unified detection/classification output. 4. **User Interface — Configuration & Visualization** - Build the product configuration interface. - Develop the geospatial visualization layer (common operating picture) used by end customers. ### What We’re Looking For **Required** - **Architecture contribution, ready to lead:** You’ve been part of a small team that designed/built a system with real architectural stakes (edge/embedded, sensors, data pipelines, etc.) and are ready to own it yourself. - **Data pipeline and storage experience:** Comfortable designing and operating time-series systems and message-based ingestion pipelines (MQTT, Kafka, or equivalent), including intermittent/unreliable connectivity. - **Full-stack range:** Comfortable moving between backend/data pipeline work (Python, Go, or similar) and frontend (React/TypeScript). Familiar enough with embedded/edge constraints to architect around them. - **At least one sensing/signal domain:** Hands-on experience with acoustic, EO/IR, or radar signal processing/detection, plus excitement to expand into others. - **Cloud infrastructure ownership:** Able to stand up and maintain CI/CD and cloud infrastructure (AWS preferred; GovCloud a plus) without a dedicated DevOps function. - **Step-up temperament:** Proven ability
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