Job Overview
Job description
- Location:
- San Francisco, CA, United States
- Work arrangement:
- On-site
Role Summary
We are seeking a Senior Applied Scientist, On-Device ML to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams.
Responsibilities
- Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization.
- Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware.
- Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques.
- Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, or a related technical field.
- 3+ years of experience developing and deploying production ML models, on-device.
- 3+ years of applied research experience in ML or algorithm development.
- Hands-on experience working with physical sensors such as IMU, magnetometer, audio and modeling time-series data.
- Strong foundation in ML architectures and on-device algorithm design for real-world systems.
Bonus Skills
- Familiar with DSP algorithms and C/C++ for resource-constrained embedded systems.
- Experience porting ML models from Python frameworks to firmware-level implementations.
- Familiarity with edge ML tools, quantization, model compression, or on-device inference strategies.
- **At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**
- This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
- Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
Benefits
- Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
- Paid parental leave
- Alternating day off (every other Monday)
- “Off the Grid”, a two week per year paid break for all employees.
- Commuter allowance
- Company-paid training
- Role:
- Senior Applied Scientist - Multi-Sensor & On-Device ML
- Job Type:
- Full-Time
Company profile
Gridware
gridware.ioGridware builds grid monitoring technology that helps electric utilities detect hazards, restore power quickly and safely, and extend the life of field assets. Co-founded by a lineman turned engineer, it pioneered Active Grid Response, a category of grid intelligence that gives real-time visibility into the physical, electrical and environmental conditions of every span of the grid. Its tools have more than 90 million field hours.