Edge AI Systems Engineer

Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
We are seeking an exceptionally talented Edge AI Systems Engineer to join our rapidly growing consulting team. We're seeking an experienced Edge AI Systems Engineer to join our team focused on developing, training, optimizing and deploying AI/ML Models on Edge AI devices. This role combines hands-on software development with strong analytical and communication skills.

Location

Remote 100% / European Residence required

Compensation

Salary

Work Schedule

Full time/ Flexible working hours

Reports to

Head of Engineering & Delivery

Member of

Engineering Team

To be considered for this position, you must have the following qualifications: 

• Strong proficiency in PyTorch, TensorFlow Lite (TFML), ONNX and Python
• Familiarity with AI model building blocks, inference flow, edge ML models, and AI model compiler
• Experience with small transformer models (and multimodal models)
• Experience with Microcontrollers, SoC, Arm Ethos-U class of NPUs and Arm Ethos-vela tools
• Experience with ML Frameworks, Model training, optimization & compression for edge ML (for Ethos-U NPU class) devices
• Experience in fine-tuning models for edge-specific deployment on limited resource devices
• Experience with model compression, quantization and pruning
• Excellent communication skills and experience working with various teams

Ideal candidates will also have: 

• Bachelor's/master's degree in computer science or electrical engineering with 5+
• Proficiency with essential tools: PyTorch, TFML, Arm Ethos-U NPU
• Strong coding and debugging skills
• Proven track record in customer support
• Self-motivated team player with strong interpersonal skills 

Responsibilities: 

• Develop and Optimize AI Models: Design, train, and fine-tune AI/ML models for deployment on edge devices, ensuring performance and accuracy on resource-constrained hardware.
• Edge-Specific Deployment: Implement and optimize AI solutions on microcontrollers, SoCs, and NPUs (e.g., Arm Ethos-U), leveraging tools like Arm Ethos-vela.
• Model Compression and Efficiency: Perform model compression, quantization, pruning, and other optimization techniques to ensure efficient inference at the edge.
• Collaborate Across Teams: Work closely with engineering, delivery, and client teams to understand requirements, address challenges, and deliver scalable AI solutions.
• Leverage Frameworks and Tools: Utilize ML frameworks such as PyTorch, TensorFlow Lite (TFML), and ONNX for model development and deployment workflows.

Why join Janea? Because world-class talent deserves world-class opportunities. What we offer: 

• Competitive compensation with benefits, paid vacation, and sick leave.
• The opportunity to work with a globally diverse team of top Engineering  talent on the industry’s toughest Engineering challenges. 
• Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary. 
• An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
• Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done. 

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