软件工程师,电网级电池
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
Job Description
We're looking for a Software Engineer to join the team building the core of Gridmatic's battery optimization platform. Our challenges are shaped by the nature of energy markets: optimization models run on tight schedules, bids must be submitted reliably within tight market clearing windows, and data pipelines need to ingest and process market signals continuously. You'll partner with our ML, optimization, and data science teams to bring research into production, and work alongside the Platform Infrastructure team on the compute and orchestration layers that underpin it all.
We recognize some candidates may hesitate to apply if they do not have all the listed skills. We encourage interested individuals to apply if they have relevant skills even if they do not have experience in every listed area.
What You'll Do
- Build and maintain data pipelines that ingest real-time market and telemetry data and pass these to our forecasting and optimization models
- Own production systems using workflow orchestration for battery dispatch and market bidding, where reliability has direct revenue consequences
- Partner with ML and optimization researchers to evaluate and productionize bidding strategies e.g. by adding or improving workflow orchestration
- Collaborate with the our data and optimization teams to build reliable data calculations and visualization for settlement calculations, trading operations, and bid strategy evaluation
- Contribute to tooling, observability, and patterns that help the team ship and operate software reliably
- Make architectural decisions as we scale the platform alongside our asset portfolio
- Join on call rotation to maintain systems you build
What We're Looking For
- 4+ years of experience building and operating production software systems
- Strong proficiency in Python, including production-grade code beyond notebooks and scripts
- Experience with Go, or a background in a similar typed language (Java, Rust, C++)
- Solid experience building and operating data pipelines-streaming or batch, at meaningful scale
- Hands-on experience with workflow orchestration tools such as Airflow, Flyte, or Temporal
- Enthusiasm to learn about and work on details of the application, in this case electricity markets and grid-scale batteries
- Systems thinking-understanding how components interact, where failures cascade, and how to build for reliability and efficiency
- Clear communication, whether writing a design doc, reviewing code, or explaining a system to someone unfamiliar with it
- Comfort in a fast-moving, small-team environment where ownership is broad
Nice to Have
- Infrastructure-as-code experience with Terraform or similar tools
- Hands-on experience with Kubernetes in production (we run on GKE)
- Background working with ML, optimization, or research teams to bring models into production
- Familiarity with optimization, forecasting, or simulation workflows
- Prior work in domains where latency and reliability have direct business consequences
- Experience in energy markets, SCADA, or battery management systems
$175,000 - $235,000 a year
Join our team and make a difference! Click below or email us at [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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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。这将帮助我们成长,并让更多人投身于可再生能源工作!
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职位详情
2026年5月12日
全职
公司
- 库比蒂诺,美国
4+ years
UTC-07:00