ZipRecruiter

Log In

1

Embedded Tinyml Jobs in Texas (NOW HIRING)

Medclinicx

Firmware Engineer

Austin, TX · On-site

$110 - $150/hr

Build low-level embedded software for real-time systems. * Optimize performance, memory usage, and ... AI-Enabled Medical Hardware Expose interfaces on microcontrollers to trigger local tinyML ...

All JobsEmbedded Tinyml JobsEmbedded Tinyml Jobs in Texas

Embedded Tinyml information

What are common challenges faced when deploying TinyML models on embedded devices?

Deploying TinyML models on embedded devices often involves managing strict resource constraints, such as limited memory, processing power, and energy consumption. Developers must carefully optimize model size and inference speed while ensuring accuracy remains acceptable for the application. Additionally, integrating models within existing embedded system workflows and testing for reliability under various real-world conditions can be challenging. Collaborating with hardware engineers and firmware developers is crucial to achieve efficient deployment and seamless operation.

What is an embedded TinyML engineer?

Embedded TinyML engineers specialize in developing and deploying machine learning models that run directly on small, resource-constrained embedded devices, such as microcontrollers and IoT sensors. Their work involves optimizing neural networks to ensure efficient performance with limited memory, power, and computational capacity. These engineers bridge the gap between embedded systems and AI, enabling smart features in everyday devices without the need for cloud connectivity.

What skills and qualifications are needed to thrive as an embedded TinyML engineer?

To thrive as an Embedded TinyML Engineer, you need a solid background in embedded systems, machine learning fundamentals, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with microcontroller platforms (such as ARM Cortex-M), TinyML frameworks (like TensorFlow Lite for Microcontrollers), and hardware debugging tools is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly set standout professionals apart in this field. These skills are crucial for efficiently developing, deploying, and maintaining machine learning models on resource-constrained devices, ensuring reliable and innovative edge AI solutions.
What are popular job titles related to Embedded Tinyml jobs in Texas? For Embedded Tinyml jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Embedded Tinyml jobs in Texas look for? The top searched job categories for Embedded Tinyml jobs in Texas are:
What cities in Texas are hiring for Embedded Tinyml jobs? Cities in Texas with the most Embedded Tinyml job openings:
Embedded Tinyml jobs near you
Infographic showing various Embedded Tinyml job openings in Texas as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Firmware Engineer

Medclinicx

Austin, TX • On-site

$110 - $150/hr

Other

Posted 4 days ago

Job description

Med Clinic X is a healthcare technology company building advanced digital health ecosystems that combine software, AI, cloud platforms, and connected medical devices for healthcare organizations across the United States.

We develop healthcare SaaS platforms, AI-driven healthcare systems, patient portals, telemedicine solutions, automation workflows, and integrated medical device technologies that support real-world clinical environments.

Our mission is to build reliable, secure, and high-performance healthcare systems that extend into connected devices and real-time monitoring solutions.

Job Overview

We are seeking a Firmware Engineer to design, develop, and optimize firmware for healthcare devices and IoT-enabled medical systems.

In this role, you will build low-level software that powers connected healthcare devices and ensures seamless communication with cloud-based healthcare platforms used across the United States.

You will collaborate with hardware engineers, embedded developers, and cloud teams to build safe and reliable healthcare technologies.

Responsibilities Firmware Development
  • Design and develop firmware for healthcare and IoT devices.
  • Build low-level embedded software for real-time systems.
  • Optimize performance, memory usage, and device reliability.
  • Develop firmware for microcontroller-based systems.
  • Integrate firmware with cloud-based healthcare SaaS platforms.
  • Enable secure communication between devices and backend systems.
  • Support data transmission from medical devices to clinical systems.
  • Ensure device interoperability within healthcare ecosystems.
Embedded & Real-Time Systems
  • Work with real-time operating systems (RTOS).
  • Develop event-driven firmware applications.
  • Ensure stability and fault tolerance in embedded systems.
  • Debug hardware-software interaction issues.
Security & Reliability
  • Ensure compliance with healthcare data protection standards.
  • Prevent vulnerabilities in connected medical systems.
  • Support safe and reliable device operations.
Qualifications Required
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, or related field.
  • Experience in firmware or low-level embedded software development.
  • Strong programming skills in C or C++.
  • Understanding of microcontrollers (ARM, STM32) and bare-metal programming.
  • Experience with real-time systems, concurrency, and task management.
Preferred
  • Experience in US healthcare or medical device industries (FDA-regulated).
  • Familiarity with IoT communication protocols (MQTT, BLE, CoAP).
  • Experience developing on FreeRTOS or similar embedded kernels.
  • Knowledge of embedded security practices (secure boot, encryption).
  • Experience interfacing with hardware debugging tools (JTAG, logic analyzers).
Why Join Med Clinic X?

At Med Clinic X, you will build the foundation of connected healthcare technology. You will:

  • Work on real healthcare device ecosystems used in the US
  • Build firmware powering connected medical technologies
  • Collaborate with AI, cloud, and engineering teams
  • Shape the future of connected healthcare systems
Technical Core

C / C++ Programming Embedded Systems Programming Microcontrollers (ARM / STM32) Real-Time OS (FreeRTOS) IoT Protocols (MQTT / BLE) Hardware Debugging & JTAG

Key Systems Involved Medical IoT Devices

Build firmware for real-time patient vital sign monitors and smart sensors.

Healthcare Embedded Systems

Design low-power microcontroller logic loops to ensure device longevity.

Real-Time Monitoring

Configure high-frequency sample buffers and local sensor processing logic.

Synchronize raw device readings with cloud portals using secure transport links.

AI-Enabled Medical Hardware

Expose interfaces on microcontrollers to trigger local tinyML algorithms.

Digital Health Ecosystems

Test hardware interactions with telemetry message queues and API layers.

#J-18808-Ljbffr

Apply