Gridware

高级研究工程师,固体力学

加入Gridware旧金山团队,担任固体力学高级研究工程师。领导物理测量算法和现场验证研究。享受带薪育儿假和独特的两周带薪休假“Off the Grid”。
Gridware
Gridware
旧金山,加利福尼亚州,美国 现场 全职 USD 185k–200k yearly UTC-07:00

Gridware

公司概况

Gridware

美国加利福尼亚州

2020年

大约30名员工(来源:businessinsider.com)。

他们的工作

Gridware是一家开创性的初创公司,专注于通过创新技术增强电网的韧性。他们的核心产品,主动电网响应(AGR),利用安装在电杆上的Gridscope传感器实时监测配电电力线路的各种条件。这些传感器由太阳能供电,并通过设备对设备、蜂窝和卫星网络进行通信,确保无论电网电压如何都能持续运行(来源:gridware.io)。该技术旨在检测一系列问题,包括植被接触、倒下的电线和设备故障,使公用事业公司能够进行预测性维护和动态断电,以防止野火和停电(来源:cbsnews.com)。目标市场包括美国电力公用事业,特别是在加利福尼亚州和中西部等易发生野火的地区,并计划未来进行国际扩展(来源:promptloop.com)。他们的产品与公用事业运营管理系统无缝集成,覆盖超过9000万的现场工时,并通过合作伙伴关系服务于40%的美国客户(来源:gridware.io)。

项目与业绩

Gridware已成功在八个州部署了大约13,000个传感器,特别是在加利福尼亚州的高风险野火区域,覆盖约1,000英里的电力线路。他们的技术被认为能够防止野火,报告显示其警报成功阻止了冒烟的植被点燃(来源:cbsnews.com)。值得注意的整合包括与PG&E的高阻抗故障检测合作,以及与Puget Sound Energy的试点项目,旨在改善风暴和野火修复的优先级。在一个案例中,加利福尼亚北部的一个电路停电巡逻时间减少了70%,而中西部的一家公用事业公司在四个电路上节省了400,000分钟的停电时间(来源:gridware.io)。正在进行的项目包括与NorthWestern Energy在蒙大拿州城市的2024年试点,专注于实时资产监测以减轻野火风险(来源:northwesternenergy.com)。

近期发展

在过去两年中,Gridware筹集了大量资金以支持其增长和扩展努力。在2024年,他们宣布了一轮由红杉资本主导的2640万美元的A轮融资,此前在2023年获得了由Lowercarbon Capital和Fifty Years共同主导的1050万美元种子扩展融资(来源:gridware.io)。这笔资金旨在增强他们在美国的运营并为国际部署做准备。此外,Gridware因其创新技术而获得认可,包括在2022年被《时代》杂志评选为最佳发明之一,因其Gridscope传感器而受到关注,并在2023年被《福布斯》评选为30位30岁以下的杰出人物(来源:engineering.berkeley.edu)。该公司继续深化与公用事业的合作关系,包括计划于2024年底与NorthWestern Energy进行试点项目(来源:northwesternenergy.com)。

在这里工作

Gridware提供多种以工程为中心的职位,包括软件工程、电气设计工程、数据工程和技术招聘等职位。该公司由电工和工程师组成,反映出一种强调与现场工人合作的文化,以及以使命为导向的野火预防方法(来源:climatepeople.com)。招聘主要集中在他们的湾区总部,他们正在迅速扩展团队以支持传感器的生产和部署工作。Gridware的文化被描述为严格且以使命为导向,强烈关注实现实际成果,例如其技术记录的显著现场工时(来源:gridware.io)。虽然来源中没有详细说明具体的员工福利,但公司的风险投资背景表明可能会提供具有竞争力的初创公司福利(来源:cbsnews.com)。


最后更新于 2月 23, 2026 | 报告问题

Job Description

We are seeking a Senior Research Engineer with deep expertise in solid mechanics to build the theoretical foundation of Gridware's new sensing capabilities. You will be the team's subject matter expert on the mechanics of structures, and your work will directly shape how we measure, validate, and improve our physics-based measurement systems.

You will develop performant measurement algorithms, lead sensitivity analyses that quantify how physical assumptions and algorithm inputs propagate into measurement error and run field validation studies. You will bridge the gap between structural mechanics theory and deployed sensing products.

This position focuses on mechanics modeling, algorithm design, validation study design, and technical leadership rather than fleet-scale data operations or software implementation.

Responsibilities

  • Design physics-based measurement algorithms.
  • Determine which physical and structural input parameters most reduce algorithm uncertainty, to what precision they are needed, and how to acquire them-optimizing the tradeoff between input data cost and measurement accuracy. Identify which error sources dominate and mitigate them.
  • Design and execute field validation studies: develop the protocol, sample size, acceptance criteria, and ground truth measurement methods to evaluate our measurement products.
  • Serve as the team's theoretical subject matter expert on structure mechanics: failure modes, material nonlinearity, creep, damage progression, soil-structure interaction, and regulatory strength standards.
  • Investigate alternative measurement principles that could improve accuracy or add interpretability.
  • Mentor team members on structural mechanics fundamentals and raise the rigor of the team's scientific work.
  • Collaborate closely with cross functional stakeholders to operationalize new capabilities from measurement to customer delivery.

Required Skills

  • PhD in Mechanical Engineering, Civil/Structural Engineering, or a closely related field plus 3+ years of relevant industry experience, or MS in one of those fields plus 6+ years of relevant industry experience with a demonstrated track record of leading structural mechanics work end-to-end.
  • Deep expertise in solid mechanics: beam theory, stress-strain constitutive models, failure criteria, fracture mechanics, fatigue. Able to derive and critically evaluate structural models from first principles.
  • Experience with nonlinear material behavior-specifically wood, composites, biological materials, or other anisotropic/viscoelastic materials. Understanding of how material structural variability, environmental factors, anisotropy, and aging affect mechanical properties.
  • Track record of designing and analyzing physical experiments or validation studies with quantitative rigor-defining acceptance criteria, characterizing uncertainty, and drawing defensible conclusions.
  • Scientific computing: comfortable developing mechanics models and writing experimental analysis pipelines in Python, MATLAB, or equivalent.
  • Strong technical judgment, communication, and ability to translate complex mechanics into actionable engineering recommendations.
  • Experience leading technically complex work across multiple stakeholders and deadlines.

Relevant Depth Areas

We do not expect every senior candidate to be equally deep in every area below. Strong candidates will usually bring deep experience in several of these areas.

  • Wood, timber, or nonlinear material mechanics: experience with the mechanical behavior of wood, fiber-reinforced composites, or other anisotropic/viscoelastic materials-species- or batch-dependent properties, moisture and environmental effects, progressive degradation, load duration factors, and relevant standards.
  • Sensor data interpretation for physical systems: experience using sensor signals to infer the physical state of a structure or system-developing physics-based models that connect indirect measurements to quantities of interest, and understanding how measurement error propagates into derived quantities.
  • Geotechnical mechanics: soil-structure interaction modeling, foundation stiffness characterization, or embedded pile/pole analysis.
  • Probabilistic structural analysis: reliability methods, Monte Carlo simulation, extreme value statistics, or load and resistance factor design (LRFD) applied to structural systems.
  • Experimental mechanics: strain gauging, load testing, DIC, or other experimental stress/strain measurement on structures. Experience designing controlled loading experiments.
  • FEA of nonlinear or composite structures: finite element modeling of wood, composite, or other nonlinear material systems under combined loading-including material model selection, mesh sensitivity, and validation against experimental data.

Bonus Skills

Bonus Experience

  • Familiarity with GIS tools or spatial analysis for infrastructure data.
  • Published research in wood mechanics, structural reliability, or structural health monitoring.
  • Experience designing field studies or validation trials with external partners.

$185,000 - $200,000 a year

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!

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

立即申请

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职位详情

2026年4月16日

全职

公司

2026年4月16日

现场

USD 185k–200k yearly

智能电网

Gridware

gridware.io

  •  旧金山,加利福尼亚州,美国

PhD with 3+ years or MS with 6+ years of relevant experience

UTC-07:00