Careers

Berlin (Hybrid / On-site)   |   Full-time   |   5+ years experience  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of data center energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

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The Role

We are looking for a Platform & Integration Engineer to build the Loadwise platform. This is the core software engineering role on the team.

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Owning this platform end-to-end is a unique challenge. Very few engineers are comfortable spanning the full stack of a platform like this: raw protocol handling, data normalization, backend service architecture, and production observability - all in a domain where the data comes from physical infrastructure and the decisions affect real assets.

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As one of the first people building Loadwise, you will design and operate everything that makes the platform run. Because there is no separate platform team, you have ultimate ownership over the ingestion layer, external connections, backend services, and production infrastructure. You will work closely with the Energy Systems Engineer (who defines facility interfaces) and the Controls Engineer (who builds forecasting and control logic). Your responsibility is building the platform layer that connects everything reliably. You will also be the technical point of contact when engaging with customer engineering teams, translating requirements directly into platform decisions.

What the first six months look like: By month six, the platform is ingesting live telemetry from pilot facilities via at least two industrial protocols, integrated with one external energy market signal feed, and serving a real-time backend API to the controls and forecasting stack. All services are fully instrumented with metrics, logging, and alerting. That technical foundation is what every subsequent feature builds on.

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The core of this role is well-defined. What happens beyond it is up to you.

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What You'll Work On
Protocol Adapters & Integrations

• Build and maintain protocol adapters connecting to physical facility infrastructure and building automation systems
• Connect to energy market APIs, grid operator signal feeds, and utility interfaces
• Build interfaces that provide real-time and forward-looking visibility into compute workload demand

Platform & Backend Services

• Build reliable data ingestion pipelines with validation, transformation, and storage
• Design and maintain backend APIs consumed by forecasting, control, and reporting services
• Implement data normalization and schema management across heterogeneous source systems
• Ensure pipelines handle reconnection, backfill, and partial failures gracefully

Reliability & Observability

• Instrument all services with metrics, logging, and alerting
• Define and track data freshness, completeness, and quality SLAs
• Own deployment, scaling, and operational runbooks for the platform

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What We're Looking For

‍You likely come from a background in backend engineering, systems integration, or data infrastructure.

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Backend Engineering & Systems

• Experience building backend services and data pipelines in production environments
• Our core stack is Python and TypeScript/JavaScript. We are looking for strong backend experience in either; Go also works. Comfort with distributed systems is expected
• Familiarity with event-driven architectures, message queues, or streaming systems (Kafka, NATS, or similar)

Infrastructure & Operations‍

• Comfort deploying and operating services in a Kubernetes-based environment
• Familiarity with observability tooling: Prometheus, Grafana, or similar
• Ability to design for fault tolerance, retry logic, and graceful degradation
• Familiarity with CI/CD pipelines and GitOps practices

Tools & Mindset

• You treat AI-assisted development tools (Cursor, Copilot, Claude Code, v0) as genuine force multipliers and build accordingly
• Comfortable operating as a senior individual contributor with broad ownership across the full stack
• Ability to navigate vendor documentation and proprietary system APIs
• Clear communicator across engineering, domain specialists, and founders

Nice to Have

• Exposure to IoT or industrial protocol integration (BACnet, Modbus, MQTT, OPC-UA). Prior experience is a plus, not a prerequisite; the protocols are learnable with the right engineering foundation
• Ability to build simple operator-facing dashboards (React, Vue, or similar) when needed
• Hands-on experience with specific DCIM or BMS vendors such as Schneider EcoStruxure, Siemens Desigo, or Nlyte
• Experience working with energy market APIs or grid operator interfaces

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What We Offer‍
Competitive Base & Meaningful Equity‍

We expect you to act like an owner, which means we offer an above-market compensation package for a seed-stage company: a strong base salary and equity stake.

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Relocation & Visa Support‍

We are building this in Berlin (Hybrid / On-site). If you are the right fit but not based here yet, we provide full visa sponsorship and relocation assistance to get you and your setup seamlessly moved.

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Your Setup‍

We cover licenses for Cursor, Copilot, and whatever else keeps you moving. Top-of-the-line hardware, no approval process.

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High Autonomy, Zero Bureaucracy

You own the platform end to end: from the first protocol adapter to production observability. You will have the freedom and responsibility to make architectural decisions that matter from day one.

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Our Process‍

We keep it lean. Three stages, no more than four weeks from first call to offer.

Berlin (Hybrid / On-site)   |   Full-time   |   5+ years experience  |  Loadwise.ai
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About Loadwise
Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of data center energy assets.

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Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

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The Role

Our first customer projects become the references everything else is built on. We are looking for a Founding Energy Projects Engineer to make sure each one lands, and lands well.

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Today that means running engagements with data center operators, developers and utilities: understanding what they need, translating it into something we can deliver, coordinating whoever else has to be involved, and making sure it actually works. You are the person the customer calls, and the person who understands what we have to build next.

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A concrete example of what is on the desk right now: a data center operator wants to market their backup generators. That involves the operator, an aggregator, the grid operator and their electricity supplier. Four parties, four sets of requirements, one timeline. Someone has to hold that together, understand enough about balancing markets to know when an answer does not add up, and keep it moving without either founder in every call.

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As one of the first people building Loadwise, you will work directly with both founders, our Founding Data Scientist and our Founding Systems Engineer. This is not a software engineering role: you will not build the models or integrations yourself. You own the customer, the project and the outcome, in a company where that relationship decides what gets built.

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Excellence here means execution, not slide decks. If your projects tend to move when others stall, you will fit right in.

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What the first six months look like: By month six, you run customer projects independently, including at least one multi-party engagement. You run customer workshops on your own, and the lessons from each project are captured in a playbook that makes the next engagement faster than the last.

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What great looks like: Good is a project delivered on time. Great is a customer who asks for you by name on the next one, a grid operator who takes your call because your last answer was right, and a playbook the next hire can run without you.

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The core of this role is well-defined. What happens beyond it is up to you.

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What You'll Work On

Customer Projects & Delivery

• Run customer projects from kickoff to delivery, with real ownership of timeline and outcome
• Prepare and run customer workshops together with the founders, and increasingly on your own
• Turn what we learn in each project into something reusable, so the second engagement is faster than the first

Stakeholder Coordination

• Coordinate external stakeholders: grid operators, suppliers, aggregators, planners and OEMs
• Keep multi-party projects moving without formal authority over anyone in them

Energy Modelling & Requirements

• Build simplified energy and business models for data center sites, enough to make a decision on
• Gather and maintain requirements on live projects, and bring them back to our product and engineering team

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What We're Looking For‍

You likely come from a background in electricity supply, utilities, grid operators, energy consultancies, or an energy-adjacent startup.

Background

• A strong academic track record in engineering, energy economics, physics or a related quantitative field

Energy Markets

• At least five years of experience in the energy sector
• Working knowledge of how European power markets function. You do not need to be a trader, but you should know what a balancing group is and why prequalification takes time

Project & Analytical Skills

• Proven ability to keep a multi-party project moving without formal authority over anyone in it
• You turn incomplete site data into a robust decision basis fast, using LLMs and AI tools to model scenarios, test assumptions and stress-test the result, and you can defend every assumption in front of a customer

Collaboration & Mindset

• German and English, both good enough for a technical conversation with a Netzbetreiber
• You treat AI tools as genuine force multipliers and use them to move faster
• You hold the bar on every detail, because in a four-party project the one assumption nobody checked is the one that breaks it

Nice to Have

• Experience with data centers, industrial loads or large connection projects
• Having worked somewhere small enough that the process did not exist yet

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What We Offer‍
Competitive Base & Meaningful Equity‍

We expect you to act like an owner, which means we offer an above-market compensation package for a seed-stage company: a strong base salary and equity stake.

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Relocation Support‍

We are building this in Berlin (Hybrid / On-site). This role lives on customer meetings and close work with the founders. If you are the right fit but not based here yet, we support your relocation.

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Your Setup

We cover the licenses and tools that keep you moving fast. Top-of-the-line hardware, no approval process.

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High Autonomy, Zero Bureaucracy

You own our customer projects end to end, on projects that decide where the company goes, in a market that is being defined right now, in regulation and in practice, with us in the room.

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Our Process‍

We keep it lean. Three stages, no more than four weeks from first call to offer.

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To apply, send us your CV and tell us about the most complicated project you kept alive, and what you did that others would not have.

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Berlin (On-site)   |   Full-time (3-6 months) |  Loadwise.ai

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‍About Loadwise

AI data centers are becoming one of the fastest-growing electricity consumers in history. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions.

‍

Loadwise builds software that allows data center infrastructure to respond intelligently to these energy signals. We connect data centers directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

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Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy sources. To achieve that goal, we are backed and supported by top tier European energy and infrastructure VCs and business angels.

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The Role‍

We are looking for a Founders’ Associate Intern to work directly with the founding team on the two things that matter most at this stage: winning early customers and keeping the company running while everything else is on fire.

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The core of the role is commercial: you will help build the company strategy, go-to-market approach, and drive the conversations we have with data center operators and energy market players. You will own projects end to end, not just support them.

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You will work directly with the founders, be present in the most important conversations, and have real influence over how Loadwise positions itself in the market. We value drive, curiosity, and people who care more about building something real than about what it says on their business card.

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What You'll Work On

Commercial & Go-to-Market

• Define and execute Loadwise’s commercial strategy, focused on data center operators and energy market players
• Track trends in AI compute, data center deployment models, and energy markets to inform positioning and outreach
• Drive the development of commercial materials and processes: pitch decks, case studies, pricing frameworks, deployment playbooks, and CRM setup

Strategy Projects and Founders’ Office

• Own strategic projects end to end: from initial research and stakeholder mapping to execution. An early example: set up a European demonstration project with data center operators, grid operators, and research institutions.
• Prepare board meetings, investor communication, financial models, and external speaking engagements
• Pick up what needs picking up and take full ownership of it when you do.

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What We're Looking For

Domain knowledge in energy or AI infrastructure is useful but not required. What matters more is that you are smart, reliable, and want to build something.

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Background

• Strong academic track record from a top business, economics, engineering, or natural sciences program
• Early prior internship experience in a fast-moving tech company, startup, or consulting
• Experience building financial models and managing commercial processes
• Exposure to a technical or infrastructure business is a meaningful plus: clean-tech, energy, cloud, AI infrastructure

What Makes This Work

• You have a founder's mentality: You want to build something from scratch and see it work in the real world. You do what needs doing and you figure out what you don't yet know.
• You thrive in ambiguity: You can prioritize without being told what matters most.
• You write clearly: You prepare materials that do not need to be redone.
• You move fast and follow through: Things you own get done without reminders.
• You leverage tech: You treat AI tools as genuine productivity multipliers and use them to punch above your weight.
• You communicate clearly: Strong written and verbal communication in English. (Note: Conversational German is a strong plus for navigating local Berlin operations and vendors).

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What We Offer‍

• High Autonomy, Zero Bureaucracy: You will be in the room where decisions are made. Not observing, contributing. The Founders’ Associate Intern role at a pre-seed company is a really high-leverage positions that exists at this stage of company building. We take that seriously.‍
• Your Setup: We expect every team member to treat AI tools as genuine force multipliers. We cover licenses for whatever keeps you moving. Top-of-the-line hardware, no approval process.

Berlin (Hybrid / On-site)   |   Freelance / Contract Basis  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

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The Engagement

The incumbents (Schneider, Eaton, Vertiv and others) built excellent tools for a stable grid. That grid is gone. Data centers now operate in a world of volatile energy prices, grid flexibility demands, and AI-scale power loads. The existing tooling was not built for this. We are.

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We are looking for a Data Center Infrastructure Advisor to act as the facility reality check for the Loadwise platform. You have built, run, or operated data centers from the inside. You know what DCIM dashboards actually look like in production, which BMS vendors are a nightmare to integrate with, how cooling systems behave under real load, and what keeps a facility operator up at night.

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Your role is to ensure our platform reflects how facilities actually operate. You will help shape integrations, product decisions, and customer deployments based on real-world constraints and trade-offs. This is not a strategy consulting role. We are looking for someone with hands-on experience in live facilities.

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Typical engagement: approximately 3-5 days per month, with flexibility depending on integration and deployment phases.

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What You'll Work On‍

Operational Grounding & Product Direction

• Review product and integration decisions from an operator perspective, identifying gaps between theory and facility practice
• Define what “good” looks like for core facility integrations (cooling, power, automation)
• Help prioritize features based on operational impact and deployment feasibility

‍Integration Acceleration

• Guide the engineering team through vendor-specific quirks, undocumented APIs, and real-world protocol behavior
• Help design integration pathways that fit within the operational and security constraints of live facilities
• Support early customer deployments and troubleshooting with hands-on facility knowledge

Customer & Partner Engagement

• Participate in technical customer conversations to accelerate trust with operators
• Feed vendor ecosystem knowledge and operational intelligence back into product and commercial decisions

Example Problems You Might Help Solve

To give a concrete sense of how this role contributes, examples include:

• Should UPS systems ever be cycled for demand response or energy optimization?
• What telemetry is actually available from production DCIM platforms like Schneider EcoStruxure or Vertiv?
• How can facility and customer SLAs be minimally adjusted to create operational flexibility and energy leverage without compromising reliability?

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What We're Looking For‍

‍Data Center Operations

• Direct experience running or scaling live data center environments
• Familiarity with facility management systems in a data center environment
• Experience with power distribution, UPS systems, generators, cooling, and facility redundancy architectures

Customer & SLA Perspective

Understanding how facility operations interact with customer-facing uptime guarantees and service commitments is essential. Relevant environments may include:

• Colocation data centers
• Hyperscale or cloud infrastructure
• HPC research facilities
• Vertically integrated compute operators

‍Technical Breadth

• Ability to read and reason about integration schematics, control sequences, and facility system architectures
• Comfort participating in architecture discussions with software engineers

Collaboration & Mindset

• Ability to explain operational realities clearly and challenge assumptions constructively
• Curiosity about how software can make data center infrastructure significantly more efficient and responsive to energy markets

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What We Offer‍
Flexible Engagement‍

This is a freelance or fractional engagement. We are open on structure: day rate, freelance contract, or project-based arrangements depending on what works best. What matters is your operational expertise, not the exact contract structure.

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Our Process‍

We keep it simple. A couple of direct conversations with the founders to align on scope, expectations, and impact, and we can move quickly to agreed terms.

Berlin (Hybrid / On-site)   |   Full-time or Freelance |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

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Don’t See Your Role Listed?

We are building at the intersection of two of the most consequential infrastructure shifts of our time. The team we need does not fit neatly into a single job description, and the right person does not always show up at the right moment.

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If you have deep expertise in energy systems, data center infrastructure, software engineering, or European energy markets and you think you belong here, we want to hear from you.

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Early in Your Career

Our open roles are written for senior profiles, but we know exceptional people come at every stage. If you are earlier in your career and you have the depth, the drive, and a genuine understanding of what we are building, do not let the seniority language put you off. The bar is high but it is not about years on a CV.

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Tell us what you have built, what you know deeply, and why Loadwise. Make the case for yourself and we will read it seriously.

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Areas We Care About

• Optimization & Control: Time-series forecasting, MPC, and dispatch optimization for physical energy assets
• Facility Systems: Data center infrastructure, DCIM, BMS, cooling architectures, and power systems
• Backend & Platform: Data pipelines, systems integration, industrial protocols, and production data infrastructure
• Compute Orchestration: ML workload scheduling, GPU power management, and distributed cluster orchestration (Kubernetes, Slurm)
• Energy Markets & Policy: Demand response, grid services, and regulatory work at the EU and national level

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How to Apply

Click on Apply Here below or send us a short note at careers@loadwise.ai.

Tell us who you are, what you have built or know deeply, and why Loadwise specifically. No template, no cover letter format. Just make it easy for us to understand why you are reaching out.

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