Hark
Embedded AI Engineer
- Confirmed live in the last 24 hours
- $200k–$450k
- Mid level
- Full-time
- On-site · San Jose
- 5+ yrs exp
- Added 1 month ago
About this role
Hark is seeking an Embedded AI Engineer to develop and deploy AI models on their next-generation hardware. This role involves the full AI lifecycle, from data ingestion to model optimization and deployment, considering the unique constraints of embedded systems. You'll collaborate closely with research teams to build intelligent systems that seamlessly interact with the real world.
What you'll do
- Build data collection and ingestion pipelines for embedded systems.
- Co-design model architectures for optimal latency and resource usage.
- Integrate ML inference into embedded firmware (C, C++, or Rust).
- Profile and optimize memory usage and power consumption.
- Evaluate and select silicon platforms (GPUs, NPUs).
- Work with platform vendors to bring up toolchains and SDKs.
What they're looking for
- Machine Learning Engineering
- Embedded Systems
- Rust
- TFLite
- llamacpp
- QNN
- ARM Cortex-M/A
- RISC-V
- CNN
- RNN
- Transformers
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Hark
- Industry
- Manufacturing
Likely interview questions
- Describe your experience optimizing models for deployment on resource-constrained microcontrollers.
- Walk me through your process for profiling and identifying performance bottlenecks in an embedded system.