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Embedded AI Engineer
Summary by AIEngineer.careers
Embedded AI Engineer is a AI Hardware Engineer role (full-time). with Hark. in SAN JOSE, US. Compensation shown: $200K–$450K. Imported listing (source: aihiringboard.com). Apply on the employer's site (aihiringboard.com).
Imported listing (source: aihiringboard.com) · Apply on aihiringboard.com
SAN JOSE · US
$200K–$450K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from aihiringboard.com
Hark is an AI company building personalized, multimodal intelligence paired with next-generation hardware. As an Embedded AI Engineer, you will own the full on-device AI stack, from sensor data ingestion and model development to optimization and deployment on embedded systems. You will collaborate with AI researchers to co-design models that meet strict latency, memory, power, and bandwidth constraints. This role is based on-site in San Jose, CA.
Responsibilities
- Build data collection and ingestion pipelines for embedded systems with various sensors at scale
- Co-design model architectures with model teams to meet latency, memory, power, and bandwidth requirements
- Work with platform vendors to bring up toolchains, SDKs, and new accelerators for efficient model deployment
- Integrate ML inference into embedded firmware written in C, C++, or Rust
- Profile and optimize memory usage, power consumption, and real-time performance
- Evaluate and select silicon platforms (GPUs, NPUs, etc.) for on-device and edge deployment
Requirements
- 5 years of experience in machine learning engineering, with at least 2 years focused on embedded or edge ML
- Familiarity with embedded systems and CPU/DSP/NPU hardware architectures
Hark
San Jose · US · 70+ employees
Hark is an artificial intelligence company focused on building proactive, multimodal personal intelligence systems that integrate foundation models with bespoke, AI-native hardware. Founded by serial entrepreneur Brett Adcock, the company aims to create a universal, seamless interface between humans and machines that can see, listen, and reason with persistent memory.
