高级性能工程师
Senior Performance Engineer
职位概述
高级性能工程师负责SunStrong服务车队的预期与实际能源性能，涵盖住宅系统、商业和工业场所、社区太阳能以及大型电网项目。该职位对生产进行建模，量化并维护合同性能义务，并与运营和现场服务团队合作，对性能不足的问题进行根本原因分析。作为车队性能的高级技术负责人，该职位确定性能报告背后的数据需求，就仪表板和分析开发提供建议而非自行构建，并与资产管理和运维团队合作确保计费和结算的准确性。该职位隶属于车队管理技术团队，需要在住宅逆变器车队、计量型大型电网PPA结算以及承载两者的数据平台方面都具备同等熟练度。
职责
- 在PlantPredict和车队监控平台（AlsoEnergy、Power Factors、3E）中对住宅、C&I、社区太阳能和大型电网资产的能源性能进行建模和监控，使用Solcast、SolarAnywhere和Open-Meteo提供的天气和辐照度数据，将计量产量与模拟结果进行对比。
- 计算并维护合同性能指标，包括可用性、性能比、发电保证和违约金风险，并生成支持计费、PPA和租赁发票以及投资者和证券化报告的定期分析。
- 与资产管理及运维团队合作评估计费和结算准确性，核对计量、监控和发票数量，并在源头解决差异。
- 对逆变器、电表、通信、储能和现场条件等导致性能不足的问题进行根本原因分析，并与运维和现场服务团队合作推动纠正措施完成。
- 确定车队性能的数据需求——标签、粒度、单位、时间戳和质量规则，并与数据平台团队合作支持数据采集、摄入和核对。
- 就Power BI仪表板和性能报告的开发提供建议，定义指标定义、计算逻辑和验收标准，并验证输出结果，而非直接构建报告。
- 为新安装和改造的站点定义监测、收入级计量和遥测要求，并在站点被纳入车队前验证调试数据。
- 建立性能标准
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Job Summary
The Senior Performance Engineer is responsible for expected-versus-actual energy performance across SunStrong’s serviced fleet, spanning residential systems, commercial and industrial sites, community solar, and utility-scale projects. This role models production, quantifies and defends contractual performance obligations, and drives underperformance to root cause with operations and field services. As the senior technical authority on fleet performance, the position sets the data requirements behind performance reporting, advises on dashboard and analytics development rather than building it, and partners with asset management and O&M on billing and settlement accuracy. The role sits on the Fleet Management Technology team and requires equal comfort with a residential inverter fleet, a metered utility-scale PPA settlement, and the data platform that carries both.
Responsibilities
- Model and monitor energy performance across residential, C&I, community solar, and utility-scale assets in PlantPredict and the fleet monitoring platforms (AlsoEnergy, Power Factors, 3E), comparing metered production against simulation using weather and irradiance data from Solcast, SolarAnywhere, and Open-Meteo.
- Calculate and defend contractual performance metrics including availability, performance ratio, production guarantees, and liquidated damages exposure, and produce the recurring analysis that supports billing, PPA and lease invoicing, and investor and securitization reporting.
- Evaluate billing and settlement accuracy with the asset management and O&M teams, reconciling metered, monitored, and invoiced quantities and resolving discrepancies at the source.
- Investigate underperformance to root cause across inverters, meters, communications, energy storage, and site conditions, and drive corrective work to closure with O&M and field services.
- Direct the data requirements for fleet performance — tags, granularity, units, timestamps, and quality rules — and support data collection, ingestion, and reconciliation with the data platform team.
- Advise on the development of Power BI dashboards and performance reporting, defining metric definitions, calculation logic, and acceptance criteria, and validating output rather than building the reports directly.
- Define monitoring, revenue-grade metering, and telemetry requirements for new and retrofitted sites, and validate commissioning data before a site is accepted into the fleet.
- Establish performance baselines and data mappings for newly acquired or transitioned portfolios, including migration from legacy monitoring platforms.
- Validate storage system performance against contracted operating modes, including dispatch behavior, state of health, cycling, and demand-charge and tariff-driven response.
- Apply AI tooling and agentic workflows to accelerate fleet diagnostics, anomaly triage, and recurring analysis, and define where model output requires engineering verification before it is relied on.
- Serve as technical reviewer for warranty, insurance, and equipment claims requiring quantified production loss, and mentor junior engineers and analysts on performance methods.
Qualifications
- Bachelor’s or Master’s degree in engineering, physics, or a related technical field.
- 8+ years in solar or storage performance engineering, asset performance management, or renewable O&M engineering, including 3+ years supporting commercial or utility-scale assets.
- Hands-on experience with PV performance modeling in PlantPredict (PVsyst or SAM acceptable as a secondary), and with satellite irradiance and weather datasets including Solcast, SolarAnywhere, and Open-Meteo.
- Working experience with fleet monitoring and asset performance platforms including AlsoEnergy, Power Factors, and 3E, including data extraction, tag mapping, and alarm configuration.
- Proficiency in SQL and in Python for engineering analysis (pandas, numpy, pvlib or equivalent).
- Practical fluency with AI tooling — coding assistants, LLM-based analysis, and agentic workflows — applied to engineering work, with sound judgment on where output must be verified.
- Demonstrated ability to specify data requirements, validation rules, and reconciliation logic for engineering and BI teams, and to review dashboards and reporting for correctness.
- Working knowledge of monitoring, metering, and SCADA data acquisition, including common protocols and vendor APIs (Modbus, SunSpec, DNP3, REST).
- Familiarity with leased, PPA, and securitized portfolios, including production and availability guarantees, settlement mechanics, and investor reporting obligations.
- Battery energy storage experience covering BMS behavior, state-of-health analysis, and dispatch validation.
- Ability to work against incomplete legacy as-built and monitoring data, and to state assumptions and uncertainty explicitly to engineering, asset management, and capital partners.
Originally posted on Himalayas