Source description
About the role
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, or related field
- 5+ years of experience in infrastructure, ML systems, or platform engineering
- Proficiency in cloud infrastructure and distributed systems, with a focus on IoT or embedded devices
Preferred Qualifications
- Experience architecting and maintaining large-scale data or training pipelines
- Familiarity with edge ML inference and neural accelerator chips
- Experience with IoT networking and traditional multi-environment HPC networking
- Proven ability to own the full lifecycle of systems across hardware, firmware, and software integration
- High surface-area observability across disciplines
- Multiple security facets for securing edge devices and video data across a large lifecycle
Location & Compensation
- San Francisco, CA (on-site)
- Hyper competitive salary and equity package
- Ability to purchase xPU or devices for development
- Full benefits including health, dental, vision, and 401k +6% match
Compensation
The base pay range for this role is $175,000 – $325,000 per year.
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Req ID: R2D8
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