Camus Energy
Camus Energy was founded in 2019 in the San Francisco Bay area. We have deep experience designing and operating distributed systems, and a passion for combating climate change. From pioneering work at Google, SpaceX, and Uber, we bring expertise in massively parallel cloud computing, high-scale real-time analytics, and high-reliability computing. We work on building software for the grid. The challenges faced by grid operators in an evolving energy landscape are unique. The existing grid is one of humanity’s largest machines, and keeping it running safely and smoothly is critical to modern life. As it becomes smarter, more connected, and more dynamic, we are leveraging the pioneering efforts and innovation from other industries to manage the challenges of scale and reliability for an effective energy transition.
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Senior Marketing Manager
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About Camus
Camus Energy builds software solutions that help new load and generation connect to the grid faster without sacrificing reliability.
As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.
Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, enabling them to navigate the complex interconnection process and innovate on hybrid grid/on-site solutions to expedite path to power.
We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.
About the Role
We’re hiring for a dedicated Senior Marketing Manager to own and drive the full marketing function at Camus. This is a high-autonomy, high-impact role: you’ll be the marketing team, supported by agencies, contractors, and the AI tools and systems you need to keep pace and achieve success. You’ll work closely with sales, product, and policy leadership to build Camus’ brand, grow our share of voice, and get the right stories in front of a small but critically important audience: data center developers, utility decision-makers, regulators, and investors.
The challenge you’ll take on is resonance, not reach—making Camus impossible to ignore in the rooms that matter. You’ll need to move fast, building differentiated campaigns that combine great content with smart distribution. Be prepared to delegate wisely to punch well above a one-person team’s weight and make a lasting impact on the industry.
What You’ll Do
- Build and execute a brand and content strategy that positions Camus as the definitive voice in transforming how utilities plan and operate the grid to make flexibility part of everyday grid management.
- Develop compelling product narratives that connect our software platform to the broader industry story—this is as much about growing a category as it is about promoting a product.
- Own our LinkedIn presence with a cadence of 3+ posts per week from the company page and support individual voices across the team.
- Manage marketing goals and budget in partnership with finance. Measure what matters—ensuring efficiency, velocity, and impact across the funnel.
- Plan and amplify our memberships, conference and event presence — turning every appearance into a content experience, not just a booth.
- Design and run differentiated campaigns that combine great content with smart distribution, tailored to specific audience segments like utilities, data center developers, and regulators.
- Delegate wisely to agencies, freelancers, and AI tools to maximize output and impact with limited resources.
- Establish relationships with key media partners for paid and earned placement.
- Collaborate with sales and policy teams to ensure marketing supports near-term commercial goals and long-term regulatory positioning
What You’ll Bring
- Expert-level brand and content skills. You’re a strong writer who can translate complex, technical topics into narratives that resonate with executives, engineers, and policymakers. You have a portfolio that proves it.
- Deep product marketing knowledge. You understand how to position a product within a broader market narrative, craft compelling product stories, and create content that moves prospects through a funnel—even when the “product” is a category-defining concept, not just software.
- High velocity with direction. You move fast, but not randomly. You set a strategic direction and execute quickly against it, adapting as you learn.
- Channel-first thinking. You start with where the audience is—conferences, LinkedIn, trade publications, regulatory proceedings, podcasts—and design content to fit. Then you reuse relentlessly.
- Comfort as a one-person team. You know how to get outsized results through smart delegation to agencies, contractors, and AI. You’ve thrived as the first or only marketer before.
- AI-first mindset. An AI-first approach to marketing. You actively design and use AI tools and systems across your work—content creation, campaign design, analytics, workflow automation. You don’t need years of experience (it’s new), but you must show real aptitude and a bias toward building AI into everything you do. This is our most important hiring criterion.
- Bonus: Experience marketing to utilities, energy companies, or data center operators; growth marketing tailored to niche B2B audiences; familiarity with the energy transition or climate tech space
What We Offer
- Competitive base salary
- Comprehensive benefits, including 401k and FSA
- Fully remote workplace with options for in office work in the Bay Area
- Flexible PTO, which we encourage you to use!
- 12 weeks fully paid parental leave
- A real impact on climate change - we’re building the world we want to live in and we want you to join us!
The expected base compensation range for this role is $115,0000-$140,000 annually, depending on experience, skills, and qualifications.
Ready to apply?
Apply to Camus Energy
Power Systems Software Engineer
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About Us
Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.
As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.
Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, providing a view of time-varying grid capacity for any given new interconnection point.
We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.
The Role
We're looking for a Power Systems Software Engineer to own and advance the power systems modeling capabilities at the heart of the Camus platform. This is an individual contributor role with real technical depth and product influence; you'll be responsible for the full stack of power systems work, from developing and validating high-fidelity models to driving the architecture that makes these models run reliably at scale.
This is not a role where the product requirements are handed to you. You will work directly with utility customers to understand their data and validate model outputs against real system measurements, bringing that ground-truth perspective back into product decisions. You'll also work closely within the Engineering team to deploy power flow models in our cloud-native architecture, and unlock large-scale planning studies and real-time orchestration of DERs.
The problems we're solving don't have off-the-shelf answers. We work as a tight, technical team that moves with urgency but builds with the discipline that production-grade software demands. If you want to do the most technically interesting power systems modeling work in the industry while directly shaping how it becomes a product, this is the role.
What You'll Do
- Develop and maintain high-fidelity power flow & optimal power flow models
- Write and maintain automated tests and validation pipelines that verify model accuracy, catch regressions and ensure solver reliability
- Drive the architecture of solvers that balance accuracy with computational performance
- Build tooling that visualizes and translates model outputs into actionable insights, for internal and client-facing applications
- Partner with our utility customers to understand their datasets and validate model outputs against their system measurements
- Collaborate with Camus’ internal teams to integrate utility models (GIS, ADMS, and time series data) into the Camus platform
- Identify and resolve computational bottlenecks in large-scale grid simulations
What You'll Bring
- Masters/Ph.D. in Electrical Engineering, Computer Science, or related discipline with 5+ years of industry experience deploying power systems models for real world applications
- Strong foundations in power systems concepts, methods and convex/non-convex optimization solvers for distribution grids
- Experience working with large utility datasets (GIS, SCADA, AMI, network models)
- Experience with OpenDSS or other open source or commercial power flow modeling software
- Ability to translate complex mathematical formulations into production-ready code
- Strong Python skills: you write clean, maintainable, production-ready code, not just analysis scripts
- Excellent problem-solving, communication, and collaboration skills
- Comfortable operating with autonomy in a small team, balancing speed of delivery with the engineering discipline that production-grade software demands.
Nice to Have
- Experience with hosting capacity and interconnection studies
- Experience with transmission grid planning or operations software
- Experience with time-series forecasting, or other AI applications in grid analytics
- Experience with GCP or other cloud platforms
- Able to leverage AI code development tools to accelerate development.
What We Offer
- Competitive base salary
- Comprehensive benefits, including FSA and 401k for full time employees
- Fully remote workplace with options for in office work in the Bay Area
- Flexible PTO, which we encourage you to use!
- A real impact on climate change - we’re building the world we want to live in and we want you to join us!
The expected base salary for this role is $180,000 - $230,000 annually, depending on experience, skills, and qualifications.
Ready to apply?
Apply to Camus Energy
Machine Learning Software Engineer
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About Us
Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.
As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.
Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, providing a view of time-varying grid capacity for any given new interconnection point.
We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.
The Role
We're looking for a Machine Learning Engineer to own and advance the forecasting and predictive modeling capabilities at the heart of the Camus platform. This is an individual contributor role with real technical depth and product influence; you'll be responsible for the full lifecycle of ML model development, from exploratory analysis and model design through to production deployment and monitoring.
This is not a role where the problem statements are handed to you. You'll work directly with Camus’ teams and external stakeholders to understand their data, define the right questions, and translate messy real-world signals into reliable, production-grade data driven analytics. You'll bring that ground-truth perspective back into product decisions, and work closely within the Engineering team to integrate ML models into our planning and operational workflows.
The forecasting and predictive modeling problems we're solving often don't have off-the-shelf answers. We work as a tight, technical team that moves with urgency but builds with the discipline that production-grade software demands. If you want to do the most technically interesting ML work in the clean energy space while directly shaping how it becomes a product, this is the role.
What You'll Do
- Design, train, and evaluate predictive ML models with a focus on forecasting and time-series applications
- Conduct exploratory data analysis, feature engineering, and statistical modeling across large structured and unstructured datasets
- Collaborate with Engineering to define ML infrastructure requirements, and deploy and integrate ML models into operational workflows and decision-support tools
- Work cross-functionally with Camus teams to define problem statements and translate business objectives into ML solutions
- Communicate model performance, uncertainty, and limitations clearly to both technical and non-technical audiences
- Champion ML best practices around reproducibility, versioning, and testing
What You'll Bring
- PhD with 3+ years of industry experience, Masters with 5+ years, or Bachelors with 8+ years in Machine Learning, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
- Demonstrated track record of delivering ML models into production environments
- Experience with time-series forecasting methods — including classical approaches (e.g. ARIMA) and modern ML-based methods (e.g. gradient boosting or temporal neural networks)
- Strong proficiency in Python and core ML/data science libraries (PyTorch, scikit-learn, statsmodels, pandas, etc.)
- Experience with probabilistic forecasting, uncertainty quantification and backtesting
- Ability to translate ambiguous business problems into well-scoped ML projects
- Comfortable operating with autonomy in a small team, balancing speed of delivery with the engineering discipline that production-grade software demands.
Nice to Have
- Experience in the energy sector — e.g. load forecasting, renewable generation prediction, price modeling or grid operations
- Experience with MLOps tooling and infrastructure: cloud platforms, containerization, and model serving patterns
- Experience with data pipeline tooling, e.g. Airflow, Spark, or Databricks
- Able to leverage AI code development tools to accelerate development
What We Offer
- Competitive base salary
- Comprehensive benefits, including FSA and 401k for full time employees
- Fully remote workplace with options for in office work in the Bay Area
- Flexible PTO, which we encourage you to use!
- A real impact on climate change - we’re building the world we want to live in and we want you to join us!
The expected base salary for this role is $180,000 - $230,000 annually, depending on experience, skills, and qualifications.
Ready to apply?
Apply to Camus Energy
Infrastructure Software Engineer
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Overview Camus
Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.
As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.
Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, providing a view of time-varying grid capacity for any given new interconnection point.
We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.
Role Overview
We're looking for an Infrastructure Software Engineer to sit at the intersection of software development and site reliability. Our software stack is cloud-native, built on active collaboration with popular open source technologies from developer tooling through production. You'll spend roughly half your time writing production code for product platform and core systems infrastructure and the other half driving reliability, observability, and operational health of these systems with the rest of the engineering team.
On the software side, you'll contribute to the full backend of our product — building and shipping features while also helping to define and build the platform and infrastructure layers those features run on. That means writing production-quality services and APIs and thinking carefully about what it means for a system to be maintainable, observable, and operable at scale. You'll bring an infrastructure-aware perspective to product development, helping the team build things that are designed to run well in production from the start. On the reliability side, you'll take the lead on how we build, deploy, monitor, and alert on our systems — but this isn't a sole-ownership role. You'll work alongside the broader engineering team, building the culture and practices around reliability as much as the tooling itself. That means driving postmortems and remediations collaboratively, establishing the frameworks that help everyone participate meaningfully in on-call and incident response, and closing the loop by improving internal tooling and systems.
Our platform sits at the heart of how utilities and energy providers manage an increasingly complex grid. The systems you build and operate need to be fast, correct, and available — grid operators make real-time decisions based on the data and interfaces we provide, and reliability has consequences that extend well beyond our codebase. We take that responsibility seriously, and we want someone who does too.
What You'll Do
- Design and build backend services, APIs, and platform infrastructure that power our platform
- Contribute to product features end to end — from backend logic and data pipelines to the deployment and operational scaffolding that ships them reliably
- Lead the development of our observability stack — metrics, logging, and alerting — and establish the practices that keep the whole team engaged in production health
- Own and evolve our CI/CD pipelines, deployment tooling, and release processes to make shipping software faster and safer
- Drive incident response and postmortems collaboratively, and follow through by building the automation and tooling that closes the loop on recurring issues
What you’ll bring
- Minimum 3 years of experience in a software engineering role with a strong infrastructure or platform focus
- Experience working with Python 3 — you're comfortable owning backend services and APIs end to end, not just writing scripts
- Hands-on experience with Kubernetes and GCP (or comparable cloud), ideally in production environments
- Experience working with CI/CD pipelines
- Familiarity with observability tooling such as Prometheus and Grafana, and an instinct for what good monitoring looks like
- A collaborative approach to reliability — you know how to bring a team along, not just fix things yourself
Nice to have
- Experience with energy, utilities, or other regulated/critical infrastructure domains
- Familiarity with the Bazel build tool
- Familiarity with Go, Node.js and Python packaging
- Experience with SQL, databases or data warehouses
What We Offer
- Competitive base salary
- Comprehensive benefits, including FSA and 401k for full time employees
- Fully remote workplace with options for in office work in the Bay Area
- Flexible PTO, which we encourage you to use!
- A real impact on climate change - we’re building the world we want to live in and we want you to join us!
The expected base salary for this role is $180,000 - $230,000 annually, depending on experience, skills, and qualifications.
Ready to apply?
Apply to Camus Energy
Transmission Engineer
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Overview Camus
Camus Energy builds software solutions that help new load and generation connect to the grid faster—without sacrificing reliability.
As electricity demand accelerates and clean energy scales, traditional interconnection processes are becoming the bottleneck. Utilities and developers face growing queues, long timelines, and costly upgrades that slow progress across the grid.
Camus enables flexible grid connections that allow new load and generation to connect sooner by planning for and operating within real system constraints. Our platform bridges the gap between grid operators and large load developers, providing a view of time-varying grid capacity for any given new interconnection point.
We combine high-reliability software experience from companies like Google and Meta with deep power systems expertise across the utility sector. If you’re excited to work at the intersection of infrastructure, software, and climate, we’d love to hear from you.
Role Overview
We’re seeking an experienced Transmission Planning and Modeling Engineer to join our Product Team to support the growth of our rapidly expanding flexible interconnection product. This role expands upon existing utility planning and analysis approaches to support a new interconnection model that addresses one of the principal challenges of our industry: rapid integration of unprecedented data center and industrial load growth.
The successful candidate will combine a strong technical foundation with an innovative, problem-solving mindset to support the expansion of the planning product required to analyze how flexible interconnections can be structured to achieve speed-to-power while maintaining/enhancing transmission reliability. You will be responsible for integrating a variety of utility data sets to construct and run time series powerflow models. Working closely with Engineering and Customer Success teams, you’ll integrate these data sets in the Camus platform and execute the analysis. Additionally, you will help shape product development for our flexible interconnection planning platform, including input on product roadmap, capability definition, and drafting of product specifications and requirements.
The problems we are addressing are new and don’t have known solutions. We work together as a team to rapidly develop products that address these critical needs.
Note: this is a temporary full-time position with full benefits starting as an initial 6 month commitment that can be extended to a long term position depending on the needs of the company.
What you’ll do:
- Perform modeling and technical analyses to evaluate proposed data center/large load sites for flexible interconnections, such as:
- Time series power flow simulations
- Contingency analyses
- Production cost model simulations
- Configuring probabilistic scenario analyses
- Inform and shape the product roadmap for flexible interconnection planning and operations
- In collaboration with Camus’ Customer Success team, engage with data center and utility customers to evaluate and implement flexible interconnections.
- Work with our utility customers/partners to evaluate and understand utility data sets so that they can be integrated into the Camus platform.
- Collaborate with Camus’ Customer Success and Engineering teams to integrate utility-specific transmission models, GIS data, and time series data into the Camus platform.
- Stay informed on the regulatory and policy landscape around large load interconnection processes for the relevant utility and/or ISO/RTO regions of focus
- Inform development of the operational model supporting flexible interconnections in utility and ISO/RTO operations
- Document product capabilities and requirements that support the analysis and adoption of flexible interconnections in the transmission system
What you’ll bring
- 7+ years in the utility industry (at a utility or adjacent consulting or academic roles) with a focus on transmission interconnections and planning analyses
- Masters or PhD in power systems or electrical engineering, or equivalent industry experience with a demonstrated ability to understand the technical foundations for transmission modeling and analysis
- Experience with PSS/E, TARA, PSLF or other commonly used modeling platforms and a demonstrated ability to learn new modeling platforms.
- Experience running time series AC power flow, and contingency analyses
- Experience with SQL and/or Python scripting that support data analysis and process automation
- Inquisitive nature that drives data investigation and establishing relationships between utility data sets and time series data
- Passionate about transforming the grid and making an impact on climate change
- High integrity and low ego - you are self motivated to do your best work and collaborate well with others
Nice to have
- Experience running DC OPF in the form of a production cost model
- Experience with encoord’s SAInt modeling platform
- Experience with transmission operations and/or operational planning and day-ahead contingency scenarios
What We Offer
- Competitive base salary
- Comprehensive benefits, including FSA and 401k for full time employees
- Fully remote workplace with options for in office work in the Bay Area
- Flexible PTO, which we encourage you to use!
- A real impact on climate change - we’re building the world we want to live in and we want you to join us!
The expected base salary for this role is $150,000 - $200,000 annually, depending on experience, skills, and qualifications. As this is a temporary position, the expected compensation will be pro-rated based on length of commitment.
Ready to apply?
Apply to Camus Energy