Role OverviewWe are looking for an Edge AI Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators.
What You Will Do
Design and implement edge AI solutions optimized for diverse hardware, apply quantization, pruning, distillation, and architectural optimization, tune model performance for latency, energy efficiency, and memory footprint, build cross-platform inference runtimes, and implement on-device model update, versioning, and rollback workflows.
Why It Might Be a Fit
The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs, and has strong systems engineering skills to ship reliable AI capabilities outside the data center.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
Benefits
- Competitive base salary commensurate with experience, plus benefits
- 100% remote work
- Long-term, multi-year employment
- Direct W2 employment with Bright Vision Technologies
- No C2C, 1099, or third-party arrangements
- H1B transfers welcomed for qualified candidates
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