Software Engineer (Full Stack)

Algorized; Campbell (CA); On-site; USD 130,000 - 150,000; Full time

Job summary

Algorized, a fast-growing tech startup, is seeking a Full Stack Software Engineer to develop AI-driven applications and integrate machine learning pipelines. You will play a pivotal role in building scalable, end-to-end systems that utilize cutting-edge technology for real-time data processing. The ideal candidate has 5+ years of experience in software development and is passionate about solving complex problems in innovative ways. This role offers competitive salary and benefits including stock options and health insurance.

Benefits

Stock Options

401(k)

Health insurance

Paid time off

Vision insurance

Qualifications

• Good coding skills in an object-oriented language – C++, Java.
• Experience working with time-series data and real-time systems.
• Familiarity with ML model deployment tools like TensorRT.

Responsibilities

• Design and implement intelligent applications using AI/ML.
• Collaborate with teams to build scalable cloud features.
• Enable real-time data synchronization across systems.

Skills

AI-driven applications

Embedded APIs

Database management

Machine Learning model integration

Cloud infrastructure

Education

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

Tools

React

Node.js

Python

Docker

Kubernetes

AWS

GCP

Azure

SQL

NoSQL

Job description

This range is provided by Algorized. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

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.
• 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.
• 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
• Paid time off
• Vision insurance

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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