Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy, fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We've raised more than $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the co-founder of Solana and GPs behind Meta, Revolut, Spotify and Uber. We're building a fully integrated energy company: from developing solar, wind and battery projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass savings on to customers. This is, without exaggeration, the role with the largest and most direct impact on Fuse's P&L of anyone at your level in the company. Every pound of cost you catch, question, or renegotiate flows straight to the bottom line: there is no layer between your work and the number the business reports. As a Cost Management Analyst, your decisions on what to challenge, what to flag, and what to push back on will directly move Fuse's margin, not as an abstract training exercise but as real money in or out of the company each month. Cost is a first-order lever at Fuse. Every pound we don't need to spend is a pound we can pass back to customers or reinvest in growth, and we treat finding and closing that gap as a core discipline, not a side task bolted onto month-end. You'll sit inside that discipline from day one, working alongside the team that owns cost control across the business, from supplier invoices to settlement charges to contract terms. This is not a back-office role: you'll be expected to find real savings, defend your numbers, and change how the business spends money. Responsibilities Owning cost lines with a direct, visible line to the P&L: what you catch or miss shows up in reported margin, not just an internal metric. Reconciling invoices against contracts and purchase terms across suppliers, catching discrepancies before they become write-offs. Building and maintaining trackers that give real-time visibility into cost drivers, so issues surface in days, not at quarter close. Validating settlement and regulatory charges (energy market invoices, third-party fees) against internal accruals and flagging variances. Digging into specific cost lines, contracts, or vendor relationships to find savings opportunities, then building the analysis to make the case. Supporting negotiations with suppliers and partners by preparing the cost and usage data behind the ask. Automating the manual, repetitive parts of cost tracking and reconciliation so the team's time goes toward judgment calls, not data entry. Very strong first-principles thinking: you want to understand why a cost exists before you try to reduce it. Comfortable in a fast, ambiguous, high-intensity environment. Analytical, structured and proactive: someone who chases down discrepancies rather than waiting for them to be explained. Strong Excel and financial modelling skills. A genuine interest in cost control, procurement, or operational finance. Bonus A prior internship in banking, consulting, accounting, procurement, or a startup finance team. Exposure to contract or invoice reconciliation, vendor management, or process automation. Coding skills (Python, SQL, or similar) for building cost-tracking tools. Competitive salary Fully expensed tech to match your needs Breakfast and dinner allowance for office based employees Opportunities for fast progression A front-row seat at a fast-growing, well-funded energy company solving a problem that matters, with real ownership and high autonomy from day one alongside an exceptional, first-principles team.
23/07/2026
Full time
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy, fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We've raised more than $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the co-founder of Solana and GPs behind Meta, Revolut, Spotify and Uber. We're building a fully integrated energy company: from developing solar, wind and battery projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass savings on to customers. This is, without exaggeration, the role with the largest and most direct impact on Fuse's P&L of anyone at your level in the company. Every pound of cost you catch, question, or renegotiate flows straight to the bottom line: there is no layer between your work and the number the business reports. As a Cost Management Analyst, your decisions on what to challenge, what to flag, and what to push back on will directly move Fuse's margin, not as an abstract training exercise but as real money in or out of the company each month. Cost is a first-order lever at Fuse. Every pound we don't need to spend is a pound we can pass back to customers or reinvest in growth, and we treat finding and closing that gap as a core discipline, not a side task bolted onto month-end. You'll sit inside that discipline from day one, working alongside the team that owns cost control across the business, from supplier invoices to settlement charges to contract terms. This is not a back-office role: you'll be expected to find real savings, defend your numbers, and change how the business spends money. Responsibilities Owning cost lines with a direct, visible line to the P&L: what you catch or miss shows up in reported margin, not just an internal metric. Reconciling invoices against contracts and purchase terms across suppliers, catching discrepancies before they become write-offs. Building and maintaining trackers that give real-time visibility into cost drivers, so issues surface in days, not at quarter close. Validating settlement and regulatory charges (energy market invoices, third-party fees) against internal accruals and flagging variances. Digging into specific cost lines, contracts, or vendor relationships to find savings opportunities, then building the analysis to make the case. Supporting negotiations with suppliers and partners by preparing the cost and usage data behind the ask. Automating the manual, repetitive parts of cost tracking and reconciliation so the team's time goes toward judgment calls, not data entry. Very strong first-principles thinking: you want to understand why a cost exists before you try to reduce it. Comfortable in a fast, ambiguous, high-intensity environment. Analytical, structured and proactive: someone who chases down discrepancies rather than waiting for them to be explained. Strong Excel and financial modelling skills. A genuine interest in cost control, procurement, or operational finance. Bonus A prior internship in banking, consulting, accounting, procurement, or a startup finance team. Exposure to contract or invoice reconciliation, vendor management, or process automation. Coding skills (Python, SQL, or similar) for building cost-tracking tools. Competitive salary Fully expensed tech to match your needs Breakfast and dinner allowance for office based employees Opportunities for fast progression A front-row seat at a fast-growing, well-funded energy company solving a problem that matters, with real ownership and high autonomy from day one alongside an exceptional, first-principles team.
Fuse Energy is a forward-thinking renewable energy startup delivering real financial impact through disciplined cost management. The Cost Management Analyst will own cost lines, challenge and renegotiate where needed, and partner with procurement to protect margins from day one. You will build trackers, validate invoices, and automate repetitive tasks to free time for strategic analysis, directly influencing Fuse's bottom line in a fast, high growth environment.
23/07/2026
Full time
Fuse Energy is a forward-thinking renewable energy startup delivering real financial impact through disciplined cost management. The Cost Management Analyst will own cost lines, challenge and renegotiate where needed, and partner with procurement to protect margins from day one. You will build trackers, validate invoices, and automate repetitive tasks to free time for strategic analysis, directly influencing Fuse's bottom line in a fast, high growth environment.
Fuse Energy is seeking a seasoned CUDA performance engineer to design and optimise kernels for high-throughput workloads in a high-performance compute environment. You will profile GPU bottlenecks, build tooling to align power draw with energy pricing, and optimise multi-GPU scaling across NCCL/MPI. Collaboration with ML and systems teams is essential to improve training and inference pipelines.
23/07/2026
Full time
Fuse Energy is seeking a seasoned CUDA performance engineer to design and optimise kernels for high-throughput workloads in a high-performance compute environment. You will profile GPU bottlenecks, build tooling to align power draw with energy pricing, and optimise multi-GPU scaling across NCCL/MPI. Collaboration with ML and systems teams is essential to improve training and inference pipelines.
The Opportunity Demand for high-performance compute capacity across the markets we operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure. Responsibilities Design, implement, and optimise CUDA kernels for high-throughput, latency-sensitive workloads. Profile and tune GPU performance across compute, memory bandwidth, and interconnect (NVLink/PCIe) bottlenecks. Build tooling to correlate GPU cluster power draw and utilisation with real-time energy pricing and grid signals. Optimise multi-GPU and multi-node scaling using NCCL, MPI, or similar communication libraries. Work with data center infrastructure teams on power capping, dynamic voltage/frequency scaling, and workload scheduling strategies that reduce energy cost and carbon intensity. Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines. Benchmark against CPU/GPU baselines and drive continuous performance improvements. Contribute to internal libraries, documentation, and best practices for GPU performance engineering. 4+ years of experience writing production CUDA code, or equivalent strong project/industry experience. Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy). Proficiency in C++ and CUDA; experience with Python for tooling/orchestration. Experience with performance profiling tools (Nsight Systems/Compute). Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand). Strong grasp of memory optimisation, kernel fusion, and parallel algorithm design. Comfortable working across the stack from low-level kernels to system-level infrastructure. Nice to Have Experience with Triton, cuDNN, cuBLAS, or custom ML inference/training frameworks. Exposure to data center power/thermal management or demand-response systems. Background in HPC, quantitative finance, or large-scale distributed systems. Familiarity with Kubernetes/Slurm for GPU cluster orchestration. Interest or experience in energy markets, grid systems, or sustainability-focused compute. Competitive salary and an equity sign-on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Breakfast and dinner allowance for office based employees.
23/07/2026
Full time
The Opportunity Demand for high-performance compute capacity across the markets we operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure. Responsibilities Design, implement, and optimise CUDA kernels for high-throughput, latency-sensitive workloads. Profile and tune GPU performance across compute, memory bandwidth, and interconnect (NVLink/PCIe) bottlenecks. Build tooling to correlate GPU cluster power draw and utilisation with real-time energy pricing and grid signals. Optimise multi-GPU and multi-node scaling using NCCL, MPI, or similar communication libraries. Work with data center infrastructure teams on power capping, dynamic voltage/frequency scaling, and workload scheduling strategies that reduce energy cost and carbon intensity. Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines. Benchmark against CPU/GPU baselines and drive continuous performance improvements. Contribute to internal libraries, documentation, and best practices for GPU performance engineering. 4+ years of experience writing production CUDA code, or equivalent strong project/industry experience. Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy). Proficiency in C++ and CUDA; experience with Python for tooling/orchestration. Experience with performance profiling tools (Nsight Systems/Compute). Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand). Strong grasp of memory optimisation, kernel fusion, and parallel algorithm design. Comfortable working across the stack from low-level kernels to system-level infrastructure. Nice to Have Experience with Triton, cuDNN, cuBLAS, or custom ML inference/training frameworks. Exposure to data center power/thermal management or demand-response systems. Background in HPC, quantitative finance, or large-scale distributed systems. Familiarity with Kubernetes/Slurm for GPU cluster orchestration. Interest or experience in energy markets, grid systems, or sustainability-focused compute. Competitive salary and an equity sign-on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Breakfast and dinner allowance for office based employees.
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting edge technology to build a radically better energy system. We raised $210M from top tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. As data centers become one of the largest and fastest growing sources of electricity demand, Fuse is expanding into high performance compute infrastructure that sits at the intersection of energy and AI - optimising how power dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time. We're looking for a CUDA Engineer to write and optimise the low level GPU code that powers our inference workloads. You'll design custom CUDA kernels, tune performance across memory bandwidth and compute bottlenecks, and squeeze maximum throughput out of every GPU in our fleet, working at the level of SMs, warps, and memory hierarchies. The Opportunity Demand for high performance compute capacity across the markets we operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure. Responsibilities Write and optimise custom CUDA kernels for core transformer inference operations. Profile kernels to identify and eliminate bottlenecks in occupancy, memory throughput, and warp divergence. Apply kernel fusion to reduce memory round trips and launch overhead across inference pipelines. Optimise memory access patterns and manage the memory hierarchy for maximum bandwidth utilisation. Implement quantisation aware kernels and mixed precision arithmetic to reduce latency and memory footprint. Build and tune caching mechanisms for efficient autoregressive decoding. Tune kernel launch configurations for target GPU architectures. Benchmark kernels against existing baselines and drive measurable throughput and latency improvements. Write tests for CUDA code to catch performance and correctness regressions. Maintain internal CUDA libraries and contribute to team coding standards and documentation. Qualifications 4+ years writing production CUDA code, with a track record of shipping performance critical kernels. Deep understanding of GPU microarchitecture, warps, occupancy, register pressure, and memory hierarchy. Strong CUDA C++ skills, including streams and asynchronous execution. Hands on experience profiling to diagnose compute bound vs. memory bound bottlenecks. Experience with kernel fusion, memory coalescing, and avoiding warp divergence. Experience writing quantised and mixed precision kernels. Solid grasp of parallel algorithm design and numerical precision tradeoffs. Nice to Have Experience with transformer/attention style kernels or autoregressive decoding. Experience building high performance GPU libraries from scratch. Background in HPC or other latency critical performance engineering. Exposure to multi GPU or multi node kernel level optimisation. Comfortable reading PTX/SASS to validate kernel efficiency. Benefits Competitive salary and an equity sign on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Breakfast and dinner allowance for office based employees.
23/07/2026
Full time
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting edge technology to build a radically better energy system. We raised $210M from top tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. As data centers become one of the largest and fastest growing sources of electricity demand, Fuse is expanding into high performance compute infrastructure that sits at the intersection of energy and AI - optimising how power dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time. We're looking for a CUDA Engineer to write and optimise the low level GPU code that powers our inference workloads. You'll design custom CUDA kernels, tune performance across memory bandwidth and compute bottlenecks, and squeeze maximum throughput out of every GPU in our fleet, working at the level of SMs, warps, and memory hierarchies. The Opportunity Demand for high performance compute capacity across the markets we operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure. Responsibilities Write and optimise custom CUDA kernels for core transformer inference operations. Profile kernels to identify and eliminate bottlenecks in occupancy, memory throughput, and warp divergence. Apply kernel fusion to reduce memory round trips and launch overhead across inference pipelines. Optimise memory access patterns and manage the memory hierarchy for maximum bandwidth utilisation. Implement quantisation aware kernels and mixed precision arithmetic to reduce latency and memory footprint. Build and tune caching mechanisms for efficient autoregressive decoding. Tune kernel launch configurations for target GPU architectures. Benchmark kernels against existing baselines and drive measurable throughput and latency improvements. Write tests for CUDA code to catch performance and correctness regressions. Maintain internal CUDA libraries and contribute to team coding standards and documentation. Qualifications 4+ years writing production CUDA code, with a track record of shipping performance critical kernels. Deep understanding of GPU microarchitecture, warps, occupancy, register pressure, and memory hierarchy. Strong CUDA C++ skills, including streams and asynchronous execution. Hands on experience profiling to diagnose compute bound vs. memory bound bottlenecks. Experience with kernel fusion, memory coalescing, and avoiding warp divergence. Experience writing quantised and mixed precision kernels. Solid grasp of parallel algorithm design and numerical precision tradeoffs. Nice to Have Experience with transformer/attention style kernels or autoregressive decoding. Experience building high performance GPU libraries from scratch. Background in HPC or other latency critical performance engineering. Exposure to multi GPU or multi node kernel level optimisation. Comfortable reading PTX/SASS to validate kernel efficiency. Benefits Competitive salary and an equity sign on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Breakfast and dinner allowance for office based employees.
Fuse Energy is seeking an experienced CUDA Engineer to design and optimise low level GPU code for high throughput inference workloads. You will work on custom CUDA kernels, memory hierarchies, and mixed precision arithmetic to maximise throughput and minimise latency across GPU fleets. The role focuses on profiling, kernel fusion, and performance driven optimisations with strong ownership of engineering quality and tests. London based office, competitive equity package.
23/07/2026
Full time
Fuse Energy is seeking an experienced CUDA Engineer to design and optimise low level GPU code for high throughput inference workloads. You will work on custom CUDA kernels, memory hierarchies, and mixed precision arithmetic to maximise throughput and minimise latency across GPU fleets. The role focuses on profiling, kernel fusion, and performance driven optimisations with strong ownership of engineering quality and tests. London based office, competitive equity package.
Fuse Energy is seeking a founding AI Inference Engineer to define and build how we serve AI workloads at scale, reporting to the CTO. You'll own the layer above CUDA/GPU work, shaping inference delivery, throughput, and reliability as we scale data-centre compute for energy applications. With 4+ years in large-scale inference systems, you'll collaborate with GPU engineers on model-level optimisations and architecture decisions, driving high-impact solutions across the platform.
23/07/2026
Full time
Fuse Energy is seeking a founding AI Inference Engineer to define and build how we serve AI workloads at scale, reporting to the CTO. You'll own the layer above CUDA/GPU work, shaping inference delivery, throughput, and reliability as we scale data-centre compute for energy applications. With 4+ years in large-scale inference systems, you'll collaborate with GPU engineers on model-level optimisations and architecture decisions, driving high-impact solutions across the platform.
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch and we're looking for the founding engineer to own the latter. We're looking for a Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered against committed performance targets. The Opportunity Fuse is seeing significant demand for data centre capacity across the markets we operate in, primarily for inference. Few companies in the world can pair real power delivery with real compute the way Fuse can, which puts inference serving at the heart of how we turn that advantage into the best offering in the market. That's this role. Responsibilities Define Fuse's inference serving strategy and architecture from first principles. Design and build the serving stack: request routing, batching, scheduling, and autoscaling for high-throughput, latency-sensitive inference workloads. Own model-level optimisation strategy for serving - deciding where and how to apply quantisation, distillation, speculative decoding, and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers. Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents). Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans. Act as a direct technical owner of inference performance and reliability. Work closely with the CUDA and GPU engineering teams to ensure custom kernels and hardware performance work are integrated cleanly into the serving layer. Set the standards, tooling, and benchmarks this function will run on as it grows. Qualifications 4+ years of experience building or operating large-scale inference serving systems, or equivalent strong project/industry experience. Deep, hands-on experience with inference serving frameworks and the techniques used to optimise them (batching, KV-cache management, quantisation, speculative decoding). Strong systems thinking - able to reason about the full path from incoming request to served response across a large cluster. Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a serving system. A track record of making high-stakes architecture calls and owning the outcome. Comfort operating without a playbook - this is a founding role shaping a new function around architecture that's still early-stage, not joining an established one. Nice to Have Experience with Triton or custom ML inference/training frameworks. Experience with autoscaling or capacity planning for large-scale inference workloads. Exposure to multi-tenant serving or SLA-driven infrastructure. Background at a hyperscaler, frontier AI lab, or large-scale distributed inference system. Familiarity with Kubernetes/Slurm for cluster orchestration. Interest or experience in energy markets, grid systems, or sustainability-focused compute. Benefits Competitive salary and an equity sign-on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Breakfast and dinner allowance for office based employees.
23/07/2026
Full time
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. As data centres become one of the largest and fastest-growing sources of electricity demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch and we're looking for the founding engineer to own the latter. We're looking for a Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered against committed performance targets. The Opportunity Fuse is seeing significant demand for data centre capacity across the markets we operate in, primarily for inference. Few companies in the world can pair real power delivery with real compute the way Fuse can, which puts inference serving at the heart of how we turn that advantage into the best offering in the market. That's this role. Responsibilities Define Fuse's inference serving strategy and architecture from first principles. Design and build the serving stack: request routing, batching, scheduling, and autoscaling for high-throughput, latency-sensitive inference workloads. Own model-level optimisation strategy for serving - deciding where and how to apply quantisation, distillation, speculative decoding, and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers. Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server, or equivalents). Translate throughput, latency, and uptime commitments into concrete technical specifications and serving capacity plans. Act as a direct technical owner of inference performance and reliability. Work closely with the CUDA and GPU engineering teams to ensure custom kernels and hardware performance work are integrated cleanly into the serving layer. Set the standards, tooling, and benchmarks this function will run on as it grows. Qualifications 4+ years of experience building or operating large-scale inference serving systems, or equivalent strong project/industry experience. Deep, hands-on experience with inference serving frameworks and the techniques used to optimise them (batching, KV-cache management, quantisation, speculative decoding). Strong systems thinking - able to reason about the full path from incoming request to served response across a large cluster. Comfortable working directly with GPU/CUDA engineers to integrate low-level performance work into a serving system. A track record of making high-stakes architecture calls and owning the outcome. Comfort operating without a playbook - this is a founding role shaping a new function around architecture that's still early-stage, not joining an established one. Nice to Have Experience with Triton or custom ML inference/training frameworks. Experience with autoscaling or capacity planning for large-scale inference workloads. Exposure to multi-tenant serving or SLA-driven infrastructure. Background at a hyperscaler, frontier AI lab, or large-scale distributed inference system. Familiarity with Kubernetes/Slurm for cluster orchestration. Interest or experience in energy markets, grid systems, or sustainability-focused compute. Benefits Competitive salary and an equity sign-on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Breakfast and dinner allowance for office based employees.
A next-generation energy company in the United Kingdom seeks a Software Engineer to build the core digital infrastructure for its operations. The ideal candidate will have 2+ years of experience in software engineering, capable of constructing a real-time digital twin and developing high-volume data pipelines. The role offers competitive salary, equity bonus, and fully expensed tech. Join us to be part of a transformative journey in the energy sector.
19/07/2026
Full time
A next-generation energy company in the United Kingdom seeks a Software Engineer to build the core digital infrastructure for its operations. The ideal candidate will have 2+ years of experience in software engineering, capable of constructing a real-time digital twin and developing high-volume data pipelines. The role offers competitive salary, equity bonus, and fully expensed tech. Join us to be part of a transformative journey in the energy sector.
Responsibilities In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none. Constructing a real-time digital twin of our renewable generation and customer demand Developing messaging interfaces with our third-party providers Building high-volume pipelines for processing customer energy consumption Build the backend of a world class energy app Qualifications Demonstrable excellence as a Software Engineer Ideally 2+ years experience Proven ability to define and build complex systems Hands on experience shipping highly available production systems Clear communication Bonus Experience with infrastructure as code (e.g. AWS CDK) Experience in the Energy sector Experience shipping consumer facing products Benefits Competitive salary and an equity sign on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave
19/07/2026
Full time
Responsibilities In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none. Constructing a real-time digital twin of our renewable generation and customer demand Developing messaging interfaces with our third-party providers Building high-volume pipelines for processing customer energy consumption Build the backend of a world class energy app Qualifications Demonstrable excellence as a Software Engineer Ideally 2+ years experience Proven ability to define and build complex systems Hands on experience shipping highly available production systems Clear communication Bonus Experience with infrastructure as code (e.g. AWS CDK) Experience in the Energy sector Experience shipping consumer facing products Benefits Competitive salary and an equity sign on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave
Fuse Energy is a forward thinking renewable energy startup seeking a hands on 2nd Line IT Engineer to keep operations running across two London offices. You will own day to day IT and hardware, collaborating with both IT and engineering teams to automate and scale our IT environment. The role involves managing Google Workspace and other SaaS tools, supporting end user devices, and implementing solutions to improve reliability in a fast paced setting.
18/07/2026
Full time
Fuse Energy is a forward thinking renewable energy startup seeking a hands on 2nd Line IT Engineer to keep operations running across two London offices. You will own day to day IT and hardware, collaborating with both IT and engineering teams to automate and scale our IT environment. The role involves managing Google Workspace and other SaaS tools, supporting end user devices, and implementing solutions to improve reliability in a fast paced setting.
Fuse Energy is a forward thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're creating a fully integrated energy company: from developing energy generation projects to real time power trading and distributed energy installations. We're looking for a hands on and technically skilled 2 nd Line IT Engineer to keep Fuse running at full speed. You will own the day to day technical environment across two office locations, ensuring our applications, infrastructure and end user hardware operate reliably so we can focus on building the future of energy. The ideal candidate is a problem solver who thrives in a fast paced environment and is comfortable owning issues end to end, from Google Workspace to a firewall policy change. Responsibilities You will manage the applications, workspaces and hardware that our team relies on every day and will work closely with the wider IT and engineering teams to operate, automate, and grow our IT environment. Work across our London based offices, external sites and our growing cloud presence Administer SaaS applications including but not limited to Google Workspace, Iru, Revolut People, Linear Use AI tooling to automate manual IT related tasks. Own all office hardware problems: laptops, meeting room AV and printers Provide 2 nd line IT support and assist in onboarding/offboarding staff Qualifications Proven 2 nd line IT experience Experience working in a fast moving SaaS based IT environment Scripting ability in one or more languages (Python, Bash, etc.) Confident supporting end user hardware (Windows/macOS) Good debugging skills and willingness to pick up unfamiliar tasks Desirable AWS cloud experience or cloud certifications Strong grasp of core networking (TCP/IP, routing, switching, VLANs, VPNs, Wi Fi) Networking or security certifications (e.g. CCNP, Fortinet NSE) Bachelor's degree in a related field Benefits Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees
18/07/2026
Full time
Fuse Energy is a forward thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're creating a fully integrated energy company: from developing energy generation projects to real time power trading and distributed energy installations. We're looking for a hands on and technically skilled 2 nd Line IT Engineer to keep Fuse running at full speed. You will own the day to day technical environment across two office locations, ensuring our applications, infrastructure and end user hardware operate reliably so we can focus on building the future of energy. The ideal candidate is a problem solver who thrives in a fast paced environment and is comfortable owning issues end to end, from Google Workspace to a firewall policy change. Responsibilities You will manage the applications, workspaces and hardware that our team relies on every day and will work closely with the wider IT and engineering teams to operate, automate, and grow our IT environment. Work across our London based offices, external sites and our growing cloud presence Administer SaaS applications including but not limited to Google Workspace, Iru, Revolut People, Linear Use AI tooling to automate manual IT related tasks. Own all office hardware problems: laptops, meeting room AV and printers Provide 2 nd line IT support and assist in onboarding/offboarding staff Qualifications Proven 2 nd line IT experience Experience working in a fast moving SaaS based IT environment Scripting ability in one or more languages (Python, Bash, etc.) Confident supporting end user hardware (Windows/macOS) Good debugging skills and willingness to pick up unfamiliar tasks Desirable AWS cloud experience or cloud certifications Strong grasp of core networking (TCP/IP, routing, switching, VLANs, VPNs, Wi Fi) Networking or security certifications (e.g. CCNP, Fortinet NSE) Bachelor's degree in a related field Benefits Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. Responsibilities Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams Implement tests and data quality checks to ensure reliable and trustworthy datasets Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards Manage all database and infrastructure changes through IaC - minimise direct DB modifications Qualifications 3+ years of experience in a backend engineering or data-focused engineering role Writes the cleanest SQL you've ever seen - proficiency in Python and SQL is non-negotiable Hands on experience with relational databases, particularly Postgres Experience designing schemas and building data models that reflect real world business logic Familiarity with DBT or similar data transformation frameworks Strong understanding of data validation, testing, and quality assurance practices Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) - treats the database as code, not a manual system Grasps new business domains quickly - able to translate unfamiliar logic into clean, intuitive data models without hand-holding Bonus Experience with ClickHouse or columnar databases Familiarity with cloud-based data orchestration tools (Dagster, Step Functions) CI/CD practices for data pipelines and transformations Experience operating databases at scale in a production environment Benefits Competitive salary and an equity sign on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees
06/07/2026
Full time
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. Responsibilities Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams Implement tests and data quality checks to ensure reliable and trustworthy datasets Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards Manage all database and infrastructure changes through IaC - minimise direct DB modifications Qualifications 3+ years of experience in a backend engineering or data-focused engineering role Writes the cleanest SQL you've ever seen - proficiency in Python and SQL is non-negotiable Hands on experience with relational databases, particularly Postgres Experience designing schemas and building data models that reflect real world business logic Familiarity with DBT or similar data transformation frameworks Strong understanding of data validation, testing, and quality assurance practices Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) - treats the database as code, not a manual system Grasps new business domains quickly - able to translate unfamiliar logic into clean, intuitive data models without hand-holding Bonus Experience with ClickHouse or columnar databases Familiarity with cloud-based data orchestration tools (Dagster, Step Functions) CI/CD practices for data pipelines and transformations Experience operating databases at scale in a production environment Benefits Competitive salary and an equity sign on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees