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Tinyml Jobs (NOW HIRING)

E-Space

AI / Embedded ML Engineer

Saratoga, CA · Hybrid

$145K - $190K/yr

... TinyML and Embedded Deployment Optimize models for deployment on microcontrollers and edge processors such as ARM Cortex-M, RISC-V, and DSPs Apply quantization, pruning, and knowledge distillation to ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · Hybrid

$145K - $190K/yr

... TinyML and Embedded Deployment ◦ Optimize models for deployment on microcontrollers and edge processors such as ARM Cortex-M, RISC-V, and DSPs ◦ Apply quantization, pruning, and knowledge ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

... TinyML and Embedded Deployment • Optimize models for deployment on microcontrollers and edge processors such as ARM Cortex-M, RISC-V, and DSPs • Apply quantization, pruning, and knowledge ...

Qeexo, Co.

Senior Account Executive

San Jose, CA · Remote

As leaders in automating end-to-end machine learning for edge devices, we are redefining the landscape of tinyML development. By collaborating with leading global companies, we enable teams to ...

Qeexo, Co.

Senior Account Executive

San Jose, CA · Remote

As leaders in automating end-to-end machine learning for edge devices, we are redefining the landscape of tinyML development. By collaborating with leading global companies, we enable teams to ...

Qeexo, Co.

Senior Account Executive

San Jose, CA · On-site

$130K - $150K/yr

As leaders in automating end-to-end machine learning for edge devices, we are redefining the landscape of tinyML development. By collaborating with leading global companies, we enable teams to ...

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Tinyml information

What are the key skills and qualifications needed to thrive in the Tinyml position, and why are they important?

To excel in a TinyML role, you need expertise in embedded systems, machine learning, signal processing, and proficiency in programming languages like C/C++ and Python, often backed by a degree in computer engineering, electrical engineering, or computer science. Familiarity with TensorFlow Lite, microcontrollers (such as ARM Cortex-M), and deployment tools is typically required, along with relevant industry certifications. Effective problem-solving, teamwork, and strong communication skills are valuable for translating business needs into efficient, resource-constrained ML solutions. These capabilities are crucial for integrating intelligent models onto edge devices, where memory, power, and processing efficiency are paramount.

What is a TinyML job?

A TinyML job involves developing and deploying machine learning models on ultra-low-power devices like microcontrollers and edge sensors. Professionals in this field work on optimizing algorithms for efficiency, ensuring models run with minimal computational resources. Tasks typically include data preprocessing, model quantization, and performance optimization for embedded systems. TinyML engineers collaborate with hardware and software teams to create AI-driven solutions in IoT, healthcare, and industrial applications.

What are some common challenges faced in a TinyML position?

Professionals in TinyML often encounter challenges such as optimizing machine learning models to fit within the tight memory and processing constraints of microcontrollers and edge devices. Adapting algorithms for low power consumption without sacrificing performance requires creative problem-solving and a deep understanding of both hardware and software limitations. Additionally, collaboration with hardware engineers, data scientists, and product designers is frequent, making strong communication and cross-disciplinary teamwork essential. Overcoming these challenges is highly rewarding, as it leads to innovative solutions powering the next generation of smart, connected devices.

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Tinyml jobs near you
Infographic showing various Tinyml job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Hybrid job distribution.
Principal Engineer- Applications (Embedded Vision Edge AI)

Principal Engineer- Applications (Embedded Vision Edge AI)

Microchip Technology Inc.

Chandler, AZ • On-site

Full-time

Posted 20 days ago

Microchip Technology rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

40th of 139 rated electronics manufacturers

Job description

Job Summary:
Microchip Technology Inc. is a global organization that designs technology powering the world. They are seeking a Principal Engineer to lead the architecture and deployment of embedded vision solutions on edge platforms, focusing on developing efficient computer vision pipelines for various applications.
Responsibilities:
• Architect end-to-end vision pipelines (capture → preprocessing → inference → post-processing)
• Optimize CNN models using quantization, pruning, and memory-aware techniques
• Enable camera interfaces, ISP pipelines, and real-time performance tuning
• Collaborate with silicon, tools, and applications teams to influence roadmap
• Mentor engineers and drive technical leadership across projects
Qualifications:
Required:
• BS in EE/CS or related field with 10+ years of experience
• Strong expertise in embedded systems and computer vision
• Proficiency in C/C++, RTOS/Linux environments
• Experience with TinyML frameworks (e.g., TFLite Micro) and model optimization
• Familiarity with low-power design and hardware acceleration
Preferred:
• MS/PhD in EE/CS or related field
Company:
Microchip Technology Inc. is a leading semiconductor supplier of smart, connected and secure embedded control solutions. Founded in 1989, the company is headquartered in Chandler, USA, with a team of 10001+ employees. The company is currently Late Stage.

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