Software Engineer (Full Stack)

Society of Exploration Geophysicists; Campbell (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

A fast-growing deep tech startup located in Campbell, California is looking for a Full Stack Software Engineer with a strong background in AI-driven applications. You will design and implement intelligent applications using embedded systems and cloud infrastructures, contributing to transformative projects across various industries, including robotics and automotive. This role promises growth and the chance to work on innovative technologies that push the boundaries of human sensing.

Benefits

Stock Options

401(k)

Health insurance

Dental insurance

Paid time off

Vision insurance

Qualifications

• 5+ years experience in software development required.
• Full stack development experience with React, Node.js, and Python.
• Experience with cloud platforms for deploying scalable applications.

Responsibilities

• Design and implement AI applications interpreting real-time sensor data.
• Collaborate with embedded designers and build APIs for data pipelines.
• Architect and deploy full-stack features across front end, backend, and cloud.

Skills

Coding skills in C++

Coding skills in Java

Full stack development

Hands-on experience with cloud platforms

Strong debugging skills

Education

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

Tools

React

Node.js

Python

Docker

Kubernetes

AWS

GCP

Azure

Job description

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