电力系统研究科学家
Gridmatic
公司概况
他们的业务
Gridmatic是一家私营的人工智能驱动的电力营销公司,专注于通过先进的机器学习算法优化可再生能源和电池存储操作。公司成立于2016年,专注于预测美国主要市场(如ERCOT(德克萨斯州)和CAISO(加利福尼亚州))的能源供应、需求、定价和电网交易(来源: cience.com, gridmatic.com)。他们的核心技术利用人工智能和机器学习模型来预测电力市场动态,从而帮助优化可再生能源发电机、电池存储系统和零售能源消费者的运营。这种创新的方法使Gridmatic能够与依赖手动流程的传统电力营销商区分开来(来源: gridmatic.com, gridmatic.com)。公司提供一系列产品和服务,包括为存储所有者提供的投标优化、收益分享协议,以及为大型能源用户(如数据中心)量身定制的零售能源合同(来源: gridmatic.com, gridmaticretail.com)。
项目与业绩
Gridmatic成功管理了多个显著项目,包括在德克萨斯州的50 MW / 100 MWh电池存储系统,该系统于2023年通过其5000万美元的能源存储基金投入运营(来源: gridmatic.com)。另一个重要项目是位于德克萨斯州斯卡里县的57 MW / 114 MWh Cross Trails电池能源存储系统(BESS),该项目与Energy Vault签订了10年的购电协议,预计将在最近的公告后开始建设(来源: ess-news.com)。此外,Gridmatic还参与了位于加利福尼亚州尼波莫的100 MW / 400 MWh Caballero BESS,作为Alpha Omega Power的优化者,并与Sol Systems在ERCOT签署了一份10 MW的太阳能购电协议(PPA),为EdgeConneX数据中心提供每小时匹配的清洁能源(来源: gridmatic.com)。这些项目突显了Gridmatic在可再生能源领域扩展其影响力的承诺。
近期发展
在过去两年中,Gridmatic取得了显著进展,包括在2023年11月关闭其5000万美元的能源存储基金,该基金使得50 MW的德克萨斯电池的运营成为可能,并计划管理总计高达500 MW(来源: gridmatic.com)。公司还在2024年与Sol Systems为EdgeConneX签署了一份10 MW的ERCOT太阳能PPA,并为Energy Vault的57 MW Cross Trails BESS获得了10年的购电协议(来源: gridmatic.com)。此外,Gridmatic与Alpha Omega Power合作,作为其100 MW Caballero BESS的优化者,该项目于2024年12月宣布,从而将其投资组合提升至300 MW(来源: ess-news.com)。公司还在2024年10月推出了Gridmatic Retail,专注于在德克萨斯州的增长并扩展到PJM市场。
在这里工作
Gridmatic雇佣了多样化的专业人才,包括研究人员、工程师、数据科学家和能源行业资深人士,他们共同为公司在能源领域的创新方法做出贡献。领导团队包括首席执行官兼创始人Matt Wytock、首席商业官David Miller和首席财务官Erin Kogan等(来源: gridmatic.com)。公司文化强调团队合作、持续学习、多样性和诚信,营造了一个重视工作与生活平衡的协作环境。招聘主要集中在其库比蒂诺总部,支持在ERCOT、CAISO和PJM市场的增长(来源: climatebase.org)。虽然具体福利没有公开详细说明,但Gridmatic作为湾区的ClimateTech初创企业,其竞争性福利与其使命驱动的理念相一致。
最后更新于 2月 23, 2026 | 报告问题
We are looking for a Power Systems Research Scientist to develop physics-based models of large-scale transmission systems and their impact on electricity markets.
You will work on large-scale optimization and simulation problems, including power flow, congestion, and security-constrained unit commitment and economic dispatch (SCUC/SCED). This role focuses on designing scalable algorithms and high-performance implementations for solving complex power system problems.
This role sits at the core of our research and trading stack, building models and computational tools that directly impact how we understand and operate in electricity markets.
We are particularly interested in rethinking power system optimization and simulation using modern computing (e.g., GPU acceleration).
What you'll do
- Develop and analyze power network models, including AC/DC power flow, contingency analysis, and security constraints
- Build and enhance large-scale optimization models (e.g., SCUC/SCED) with detailed transmission constraints
- Design and implement scalable algorithms and solver components for large-scale power system optimization
- Identify and address computational bottlenecks in network-constrained simulations and optimization
- Model and analyze congestion and transmission-driven market outcomes
- Simulate grid scenarios with high penetration of renewables, storage, and outages
- Collaborate with ML and trading teams to integrate network-aware signals into forecasting and decision systems
Qualifications
- Advanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related field
- Strong background in power systems analysis and modeling
- Experience with power flow (AC/DC), transmission modeling, and congestion analysis
- Familiarity with ISO/RTO markets and network-constrained market outcomes
- Experience with optimization algorithms and large-scale mathematical programming
- Understanding of numerical methods for convex and/or non-convex optimization
- Strong programming skills in Python
Nice to Have
- Experience with tools such as PSS/E, PowerWorld, PSLF, or similar
- Familiarity with SCUC/SCED implementations
- Background in electricity market modeling or trading
- Experience working with large-scale datasets and cloud applications
- Familiarity with key power systems concepts such as PTDFs (power transfer distribution factors) and security constraints
- Experience with GPU-accelerated computing for large-scale optimization or simulation
- Experience with frameworks such as PyTorch or JAX for high-performance numerical computing
Taking care of you today
- Continuing Education Opportunities
- Flexible PTO
- Medical, Dental and Vision plans with competitive employer contributions
- Pre-Tax commuter benefits
- $1500/year non profit donation matching program through Millie
- Home Office Stipend
Protecting your future for you and your family
- 401K contribution match up to 4%
- Company-paid parental leave
- Company Paid Life Insurance
- Stock Option Loan Program
Pay range
$175,000 - $235,000 USD
立即申请
职位已过期?请告知 Gridmatic 您是在 Rejobs 上找到这份工作的。这有助于我们发展,并让更多人进入可再生能源行业。
立即申请
职位已过期?请告知 Gridmatic 您是在 Rejobs 上找到这份工作的。这有助于我们发展,并让更多人进入可再生能源行业。
获取职位提醒
获取 库比蒂诺,美国 地区 能源分析 领域的职位提醒
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职位详情
2026年6月23日
全职
公司
- 库比蒂诺,美国
Advanced degree with strong background in power systems analysis and modeling
UTC-08:00