Develop and deploy advanced computer vision models for embedded devices in a robotics-focused startup.
Posted by employer 5 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Train and evaluate computer-vision models for deployment on embedded devices
- Build efficient C++ inference pipelines
- Optimize models for latency, memory, and power consumption
- Test performance on representative data and hardware
- Set architecture and evaluation standards
Must have
- Strong Python and C++ programming skills
- Experience training and evaluating computer-vision models
- Experience developing on embedded Linux
- Understanding of quantization and inference optimization
- Ability to evaluate accuracy across changing conditions
Nice to have
- Experience with accelerator runtimes
- Experience with dataset curation
- Experience with custom operators
- Experience with camera and video pipelines
AI in the day-to-day
Mecka uses AI responsibly to support administrative and efficiency-focused aspects of our recruitment process.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Edge ML Engineer focuses on integrating advanced computer vision models into hardware for robotic learning applications. Key skills include proficiency in Python and C++, experience with embedded Linux, and a solid understanding of model optimization techniques. This position is well-suited for candidates with a strong background in computer vision and embedded systems, particularly those who can lead technical projects and guide model deployment. Mecka AI emphasizes collaboration with robotics teams, enhancing the practical application of AI in real-world scenarios.
Joblaze insights
- Listed yesterday — first seen on Joblaze October 12, 2026. Last confirmed on Mecka AI's careers page October 12, 2026.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Computer Vision, Linux, PyTorch, Python.
- What seniority level is this role?
- Mecka AI targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Edge ML Engineer– Computer Vision role at Mecka AI.
From the original posting
The Role
You'll put advanced computer vision into the hardware that captures experience for robot learning. You'll train models, make them run on embedded devices, and carry their accuracy from controlled evaluation into real operating conditions, all within strict limits on latency, memory, and power. The role can include technical leadership of model development and deployment, and either way you'll be directly responsible for implementation and evaluation.
What You'll Do
Train and evaluate computer-vision models for deployment on embedded devices.
Build efficient C++ inference pipelines and integrate them with embedded Linux software.
Optimize models and runtime performance for latency, memory, power consumption, and sustained operation.
Test performance on representative data and hardware, and investigate errors across preprocessing, inference, and integration.
For the lead position: set architecture and evaluation standards while continuing to develop models and software.
What You Bring
Must-have:
Strong Python and C++ programming skills, including debugging and performance profiling.
Experience training and evaluating computer-vision models with a framework such as PyTorch.
Experience developing on embedded Linux and deploying models on resource-constrained hardware.
Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs.
Ability to evaluate accuracy, false positives, and missed detections across changing lighting, motion, and operating conditions.
For the lead position: experience making architecture decisions and guiding engineers through model development and deployment.
Nice-to-have:
Experience with accelerator runtimes, custom operators, or camera and video pipelines.
Experience with dataset curation and rigorous evaluation of computer-vision models.
Standard company text repeated across Mecka AI's postings is omitted here.