Gridware
Senior ML Engineer, Multi-Sensor Modeling
San Francisco, CA · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$3,149 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid.
- We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety.
- This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently.
Responsibilities
- Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems
- Design models that are robust, interpretable, and deployable in production environments.
- Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment.
- Optimize models for performance, reliability, and real-world constraints.
- Collaborate on infrastructure for model monitoring, validation, and continuous improvement.
- Partner cross-functionally with software, data engineering, product, and event-reporting teams.
Requirements
- Strong programming skills in Python and experience contributing to large, shared codebases.
- Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
- Familiarity with power systems, embedded sensing, or edge ML.
- Proven experience with time-series modeling and noisy real-world sensor data.
- Track record of technical leadership or mentoring.
- This describes the ideal candidate
- many of us have picked up this expertise along the way.
Compensation
- 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.
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
- Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals
- 5+ years of experience in machine learning, signal processing, or applied physics in production environments.
- Experience with multimodal learning or sensor fusion.
Company info
- Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation.
- The company is backed by climate-tech and Silicon Valley investors.
- For more information, please visit www.Gridware.io.
This listing is sourced directly from Gridware's careers page and normalized into a canonical job model.