Company Overview
Amperesand is reinventing how the world powers its most critical systems.
We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.
And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.
We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.
Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.
Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.
Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.
With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.
Join us in building the power foundation of the future!
Role Summary
This role is an opportunity to work with a high‑agency startup team operating in the hard‑tech and energy systems space. You will play a critical role in building and scaling predictive analytics and AI systems on top of Amperesand’s IoT platform.
This is a hands‑on role. You will design, build, and productionize machine‑learning systems that ingest high‑volume telemetry data and generate actionable insights such as failure prediction, anomaly detection, forecasting, and optimization signals. The role requires close collaboration with backend, edge, firmware, manufacturing, and product teams.
Responsibilities
- Own the design and implementation of predictive analytics systems for Amperesand’s IoT and energy platforms.
- Build end‑to‑end ML pipelines including data ingestion, feature engineering, model training, inference, deployment, and monitoring.
- Develop and deploy models for predictive maintenance, anomaly detection, and performance forecasting.
- Collaborate with edge and cloud teams to define where intelligence runs.
- Productionize models with strong focus on reliability, observability, retraining, and explainability.
- Design and integrate AI agentic frameworks enabling systems that reason, plan, and act.
- Partner with product and domain experts to translate operational problems into ML objectives.
- Continuously improve models using real‑world feedback loops.
- Document system designs and tradeoffs for cross‑functional stakeholders.
Qualifications
- 5+ years of experience in machine learning or applied AI, including production deployments.
- Strong experience with time‑series data and predictive modeling.
- Strong programming skills in Python; Go, Java, or Rust is a plus.
- Experience with ML frameworks such as PyTorch, TensorFlow, or scikit‑learn.
- Experience building data pipelines using streaming or event‑driven systems.
- Cloud and containerization experience (AWS/GCP/Azure, Docker).
- Strong understanding of monitoring, drift detection, and retraining.
- Work experience into defining hardware specifications for training environment.
- Hands‑on experience with AI agentic frameworks.
- Proficiency in English and ability to communicate with wider teams
- Ability to travel up to 20% including internationally
Bonus Qualifications
- Background in energy engineering systems (power systems, energy storage, power electronics, or controls).
- Experience with IoT, manufacturing, or industrial platforms.
- Exposure to edge AI deployments.
- Knowledge of signal processing or physics‑informed ML.
- Experience with MES, digital twins, or asset health monitoring.
- Open source AI agents project contribution.
- Familiarity with MLOps and CI/CD workflows.
- Experience working with hardware, firmware, or operations teams.
Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
Pay Disclosure & Benefits
Compensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
- Competitive Salary + Incentive Stock Options
- Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- 401k retirement savings plan through Empower
- Employees receive paid time off (PTO), paid sick days, and paid company holidays
- Commuter Benefits
- 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)
Singapore-based employees receive benefits in accordance with local government provisions.
Equal Employment Opportunity
Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
