Energy Optimization Engineer | Ascend Analytics
Posted 2025-09-08
Remote, USA
Full Time
Immediate Start
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Energy Optimization Engineer,</strong> <em>Boulder, CO, or Remote within the U.S.</em></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">About Ascend</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Ascend Analytics</strong>’ climate technology software and services provide critical insights to power the energy transition. The company’s products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascend’s solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at www.ascendanalytics.com.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Your Impact at Ascend Analytics</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">We are looking for a <strong class=" font-semibold">Energy Optimization Engineer</strong> with a strong commitment to energy system modeling to join our team in Boulder, CO (remote work possible from other locations). You make cross-functional contributions to energy optimization, and will be responsible for advancing software solutions and analytics to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Job Responsibilities</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Solve complex analytic problems to make mission critical decisions for energy supply by:</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Translating requirements into model formulation</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implementing forecasting and optimization models for operation and valuation of renewable resources and battery storage</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Developing both prototype models and production software</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Supporting existing commercial software and production systems</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimization techniques including: computational stochastic optimization, decision making under uncertainty, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, unit dispatch and transmission modeling, modeling of hydroelectric storage systems, and planning and control of electric battery storage.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Required Qualifications</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Master’s in electrical engineering, Computer Science, Operations Research, Economics, Power Systems, or related disciplines</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">1+ year experience in an energy optimization focused role in industry or academics</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">1+ year of general Software Development experience</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimization methods and commercial solvers (e.g., GAMS, Goroubi, CPLEX, Xpress)</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Ability to communicate with impact and confidence, both verbally and in writing</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Strong interpersonal skills, teamwork skills, and work ethic</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Preferred Qualifications</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">PhD in Electrical Engineering, Computer Science, Operations Research, Economics, Power Systems, or related disciplines.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Familiarity with relational database platforms (Oracle, MS SQL, Postgres)</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Interest in learning about and deploying novel software solutions</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Prior knowledge of, or strong interest in learning about wholesale electricity markets</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Python and relevant libraries (e.g., NumPy, Pandas, SciPy)</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Compensation: $100,000 – $150,000</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.</em></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at</em> <a href="mailto:recruiting@ascendanalytics.com" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer"><em>recruiting@ascendanalytics.com</em></a></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">About Ascend</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Ascend Analytics</strong>’ climate technology software and services provide critical insights to power the energy transition. The company’s products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascend’s solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at www.ascendanalytics.com.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Your Impact at Ascend Analytics</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">We are looking for a <strong class=" font-semibold">Energy Optimization Engineer</strong> with a strong commitment to energy system modeling to join our team in Boulder, CO (remote work possible from other locations). You make cross-functional contributions to energy optimization, and will be responsible for advancing software solutions and analytics to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Job Responsibilities</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Solve complex analytic problems to make mission critical decisions for energy supply by:</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Translating requirements into model formulation</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implementing forecasting and optimization models for operation and valuation of renewable resources and battery storage</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Developing both prototype models and production software</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Supporting existing commercial software and production systems</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimization techniques including: computational stochastic optimization, decision making under uncertainty, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, unit dispatch and transmission modeling, modeling of hydroelectric storage systems, and planning and control of electric battery storage.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Required Qualifications</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Master’s in electrical engineering, Computer Science, Operations Research, Economics, Power Systems, or related disciplines</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">1+ year experience in an energy optimization focused role in industry or academics</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">1+ year of general Software Development experience</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimization methods and commercial solvers (e.g., GAMS, Goroubi, CPLEX, Xpress)</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Ability to communicate with impact and confidence, both verbally and in writing</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Strong interpersonal skills, teamwork skills, and work ethic</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Preferred Qualifications</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">PhD in Electrical Engineering, Computer Science, Operations Research, Economics, Power Systems, or related disciplines.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Familiarity with relational database platforms (Oracle, MS SQL, Postgres)</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Interest in learning about and deploying novel software solutions</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Prior knowledge of, or strong interest in learning about wholesale electricity markets</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Python and relevant libraries (e.g., NumPy, Pandas, SciPy)</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Compensation: $100,000 – $150,000</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.</em></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><em>Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at</em> <a href="mailto:recruiting@ascendanalytics.com" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer"><em>recruiting@ascendanalytics.com</em></a></p>