Software Engineer (Full Stack)

About the Company

Algorized is a fast-growing deep tech startup building software platform for people positioning and sensing. We leverage algorithms and edge-ML with any wireless communication sensors available on the market such as Ultra-Wideband Radar for accurate people tracking, positioning, vital sign detection (breathing, heart-rate) and age classifications.

We’re seeking a Full Stack Software Engineer experienced in AI-driven applications, embedded APIs, databases, ML model integration, and cloud infrastructure. You’ll work across the stack—interfacing directly with sensor-level logic, integrating machine learning pipelines, and building intuitive UI dashboards that translate real-time data into intelligent decisions. Your contributions will power scalable, end-to-end systems that bring next-generation human sensing to life across industries like robotics and automotive.

Key Responsibilities

AI-Based Application Development & APIs on Linux

Design and implement intelligent applications that interpret real-time sensor data using AI/ML models.

Collaborate with embedded designers to enable seamless data acquisition and control from radars, cameras, and other sensors through efficient software-hardware interfacing, enabling real-time sensor fusion and integrated radar-vision systems

Build and maintain APIs and data pipelines that facilitate ML-driven decision-making in real-time environments.

Develop low-latency APIs and services that run directly on Linux-based edge devices and custom chips.

Database & Real-Time Data Handling

Design high-performance, scalable database architectures for storing sensor data and ML predictions (SQL/NoSQL).

Implement real-time data ingestion pipelines and data validation routines for large-scale sensor deployments.

Enable robust state synchronization across edge, server, and cloud systems using time-series data formats and event-driven design.

Cloud Integration & Full Stack Delivery

Architect and deploy full-stack features across front end, backend, and cloud infrastructure.

Collaborate on scalable cloud systems (AWS, Azure, GCP) for data storage, model hosting, and service orchestration.

Build secure, extensible APIs (REST, WebSocket, GraphQL) to enable platform integration with client applications.

Cross-Functional Collaboration & Platform Evolution

Work alongside MLOps, Data Scientist, and product to co-develop new sensing features and system architecture.

Contribute to Algorized’s platform evolution with deep input on scalability, reliability, and long-term technical roadmap.

Minimum Requirements

BSc with 5+ years’ experience or advanced degree with 3+ years of experience

Good coding skills in an object oriented language – C++, Java

Familiarity with C and embedded systems is a plus

Full stack development experience using React, Node.js, Python, and containerization technologies like Docker and Kubernetes

Hands-on experience with cloud platforms (AWS, GCP, Azure) for deploying distributed, scalable applications and ML pipelines

Familiarity with ML model deployment and inference acceleration tools such as TensorRT, or similar

Expertise in system architecture design, spanning the full software development lifecycle from prototyping to production

Experience working with time-series data, real-time systems, or stream processing frameworks (e.g., Kafka, MQTT)

Strong debugging and performance tuning skills across both edge and cloud environment

Passionate, curious, and driven to solve complex real-world problems in innovative ways

Willingness to travel for domestic and international development and on-site customer support

Addition:

Stock Options

401(k)

Health insurance

Dental insurance

Paid time off

Vision insurance