Lumai Limited is bringing the world's first optical AI compute platform to market. The Product Systems Engineer will own hands-on delivery of Iris servers, from integration through to deployment in data centres, with primary responsibility for field bring up, performance characterisation and post deployment support. You will work closely with our core engineering team and data centre operators, gaining deep platform expertise while shaping deployment playbooks and customer interactions in a
Oct 07, 2026
Full time
Lumai Limited is bringing the world's first optical AI compute platform to market. The Product Systems Engineer will own hands-on delivery of Iris servers, from integration through to deployment in data centres, with primary responsibility for field bring up, performance characterisation and post deployment support. You will work closely with our core engineering team and data centre operators, gaining deep platform expertise while shaping deployment playbooks and customer interactions in a
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Product Systems Engineer to own the hands on technical delivery of Iris servers - from integration and bring up inside our engineering team through to deployment and live operation in third party data centre environments. You will begin by working directly alongside our core engineering team - owning the integration and validation of Lumai Iris server units. This is intentional: the best way to develop deep expertise in a novel platform is to build it. As deployments go live, you will take ownership in the field - leading system bring up, performance characterisation, and post deployment support, and acting as the primary technical contact for data centre operators and end customers. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world. What You'll Do Integrate and build Lumai Iris server units alongside the engineering team - owning bring up, validation, and performance characterisation of units ahead of deployment Lead system bring up, validation, and performance characterisation of deployed units in third party data centre environments Own on site and remote troubleshooting of hardware issues, acting as the first line of response post deployment Train and enable data centre operators and customer engineering teams on the Iris platform Act as the primary post deployment technical contact for customers and data centre operators Feed field findings, deployment issues, and customer feedback back into product and engineering What We're Looking For Must Have Hands on experience in a systems engineering, field engineering, or hardware deployment role within AI infrastructure, HPC, or comparable hardware Practical experience with system integration, bring up, and hardware level troubleshooting Familiarity with data centre environments - rack power, thermal, and networking Comfortable in a customer facing role, able to communicate clearly with operators and engineering teams alike Comfortable working in a fast moving, early stage environment where the product and the deployment playbook are both still being developed Strong Preference For Experience with AI inference hardware or accelerated compute systems Enough performance analysis experience to characterise results and explain them to customer teams Genuine curiosity in novel compute architectures - post silicon approaches Programming literacy (for example Python) sufficient to engage credibly on benchmark methodology and basic automation Experience in a deep tech, semiconductor, or hardware startup environment Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Oct 07, 2026
Full time
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Product Systems Engineer to own the hands on technical delivery of Iris servers - from integration and bring up inside our engineering team through to deployment and live operation in third party data centre environments. You will begin by working directly alongside our core engineering team - owning the integration and validation of Lumai Iris server units. This is intentional: the best way to develop deep expertise in a novel platform is to build it. As deployments go live, you will take ownership in the field - leading system bring up, performance characterisation, and post deployment support, and acting as the primary technical contact for data centre operators and end customers. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world. What You'll Do Integrate and build Lumai Iris server units alongside the engineering team - owning bring up, validation, and performance characterisation of units ahead of deployment Lead system bring up, validation, and performance characterisation of deployed units in third party data centre environments Own on site and remote troubleshooting of hardware issues, acting as the first line of response post deployment Train and enable data centre operators and customer engineering teams on the Iris platform Act as the primary post deployment technical contact for customers and data centre operators Feed field findings, deployment issues, and customer feedback back into product and engineering What We're Looking For Must Have Hands on experience in a systems engineering, field engineering, or hardware deployment role within AI infrastructure, HPC, or comparable hardware Practical experience with system integration, bring up, and hardware level troubleshooting Familiarity with data centre environments - rack power, thermal, and networking Comfortable in a customer facing role, able to communicate clearly with operators and engineering teams alike Comfortable working in a fast moving, early stage environment where the product and the deployment playbook are both still being developed Strong Preference For Experience with AI inference hardware or accelerated compute systems Enough performance analysis experience to characterise results and explain them to customer teams Genuine curiosity in novel compute architectures - post silicon approaches Programming literacy (for example Python) sufficient to engage credibly on benchmark methodology and basic automation Experience in a deep tech, semiconductor, or hardware startup environment Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Software Inference Deployment Engineer to own the software-side integration and customer support of Lumai Iris servers in third-party data centre environments. You will begin by working alongside our software and engineering teams - helping integrate the Iris software stack, supporting model onboarding through the toolchain, and getting hands on with the disaggregated prefill/decode runtime. This is intentional: the best way to develop deep expertise in a novel platform is to build with it. As deployments go live, you will take ownership in the field - supporting customer integration into their inference stacks, troubleshooting software issues, and acting as a primary technical contact for customer ML and infrastructure engineering teams. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world. What You'll Do Work alongside Lumai's software and engineering teams to integrate, test, and harden the Iris software stack ahead of deployment Support model onboarding through the Iris toolchain - loading, conversion, and framework integration Develop hands on familiarity with the disaggregated prefill/decode runtime, including how Iris servers operate alongside decode processors Support customer integration of Lumai Iris into their own frameworks Own software side troubleshooting in the field, acting as the first line of response post deployment Train and enable customer ML and infrastructure engineering teams on the Iris software platform Feed field findings, integration issues, and customer feedback back into product and engineering What We're Looking For Must Have Hands on software engineering experience in AI infrastructure, inference serving, accelerator integration, or comparable deep tech hardware software environments Strong Python skills and familiarity with major ML frameworks (PyTorch in particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer facing role, able to communicate clearly with ML and infrastructure engineering teams Comfortable working in a fast moving, early stage environment where the product and the deployment approach are both still being developed Strong Preference For Experience integrating accelerator hardware (GPUs, FPGAs, ASICs, NPUs, or novel architectures) into customer inference workflows Familiarity with the NVIDIA inference stack - CUDA, TensorRT, Triton Exposure to disaggregated inference architectures, prefill/decode separation, or KV cache management Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Oct 07, 2026
Full time
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Software Inference Deployment Engineer to own the software-side integration and customer support of Lumai Iris servers in third-party data centre environments. You will begin by working alongside our software and engineering teams - helping integrate the Iris software stack, supporting model onboarding through the toolchain, and getting hands on with the disaggregated prefill/decode runtime. This is intentional: the best way to develop deep expertise in a novel platform is to build with it. As deployments go live, you will take ownership in the field - supporting customer integration into their inference stacks, troubleshooting software issues, and acting as a primary technical contact for customer ML and infrastructure engineering teams. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world. What You'll Do Work alongside Lumai's software and engineering teams to integrate, test, and harden the Iris software stack ahead of deployment Support model onboarding through the Iris toolchain - loading, conversion, and framework integration Develop hands on familiarity with the disaggregated prefill/decode runtime, including how Iris servers operate alongside decode processors Support customer integration of Lumai Iris into their own frameworks Own software side troubleshooting in the field, acting as the first line of response post deployment Train and enable customer ML and infrastructure engineering teams on the Iris software platform Feed field findings, integration issues, and customer feedback back into product and engineering What We're Looking For Must Have Hands on software engineering experience in AI infrastructure, inference serving, accelerator integration, or comparable deep tech hardware software environments Strong Python skills and familiarity with major ML frameworks (PyTorch in particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer facing role, able to communicate clearly with ML and infrastructure engineering teams Comfortable working in a fast moving, early stage environment where the product and the deployment approach are both still being developed Strong Preference For Experience integrating accelerator hardware (GPUs, FPGAs, ASICs, NPUs, or novel architectures) into customer inference workflows Familiarity with the NVIDIA inference stack - CUDA, TensorRT, Triton Exposure to disaggregated inference architectures, prefill/decode separation, or KV cache management Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Lumai Limited is a UK-based startup bringing optical compute to market. We seek a Senior Solutions Architect to own the technical heart of customer engagements, translating interest into credible opportunities and working with hyperscalers and advanced labs. You will shape engagements, run technical discovery, and collaborate with product and engineering to ensure customer voices influence our roadmap, while enabling fast, concrete technical responses.
Oct 07, 2026
Full time
Lumai Limited is a UK-based startup bringing optical compute to market. We seek a Senior Solutions Architect to own the technical heart of customer engagements, translating interest into credible opportunities and working with hyperscalers and advanced labs. You will shape engagements, run technical discovery, and collaborate with product and engineering to ensure customer voices influence our roadmap, while enabling fast, concrete technical responses.
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are looking for a technically deep and commercially astute Senior Solutions Architect to own the technical heart of our customer engagements as we bring the world's first optical compute inference platform to market. You will be the person who turns a customer's interest into a credible, technical opportunity. You will lead deep technical discovery with the most demanding customers in the industry - hyperscalers, neoclouds, frontier AI labs, and national laboratories - and translate what they need into a Lumai-based solution, mapping their requirements against Lumai's current and roadmap solutions. You will work hands-on with our benchmark team to prove the solution against real customer workloads, and you will author the technical proposals and responses that allow a customer to make the argument for Lumai inside their own organisation. This is an early-stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering teams, ensuring the voice of the customer shapes what we build next. What You'll Do Work with Lumai's business development lead, owning the technical relationship Conduct deep technical discovery with customer infrastructure and ML engineering teams Translate customer requirements into a Lumai-based solution, mapping needs against both near-term and roadmap solutions Define the shape of an engagement - benchmark, proof of concept, reference architecture, or statement of work Works hands-on with Lumai's benchmark team to scope, run, and interpret benchmarks, and owns the presentation of results Produce the technical case for Lumai - proposals, solution documentation, and responses to RFIs, RFPs, and tenders Design and delivers demos and technical workshops for customer technical teams Feed customer requirements, evaluation feedback, and roadmap reactions back into product and engineering, playing a critical role in driving the Lumai roadmap What We're Looking For Must-Have Substantial experience in a solutions architecture, technical pre-sales, or senior field engineering role within AI infrastructure, high-performance compute, semiconductors, or a comparable deep-tech hardware domain Strong working knowledge of AI inference at scale - how large language models are deployed Familiarity with data centre architecture: rack power, thermal, networking, and integration with existing software stacks Demonstrated ability to lead technical discovery with sophisticated customers and translate requirements into a solution Comfortable operating in a fast-moving, sometimes ambiguous, pre-product environment Strong Preference For Direct experience selling into, or working within, hyperscalers, neo-clouds, frontier AI labs, or national laboratories Awareness of the competitive landscape and how Lumai's optical approach is positioned against it Background or genuine curiosity in novel compute - photonics, optical computing, or other post-silicon architectures Enough hands-on credibility with benchmarking and performance analysis that customer ML and infrastructure engineers respect your reading of results Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Oct 07, 2026
Full time
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are looking for a technically deep and commercially astute Senior Solutions Architect to own the technical heart of our customer engagements as we bring the world's first optical compute inference platform to market. You will be the person who turns a customer's interest into a credible, technical opportunity. You will lead deep technical discovery with the most demanding customers in the industry - hyperscalers, neoclouds, frontier AI labs, and national laboratories - and translate what they need into a Lumai-based solution, mapping their requirements against Lumai's current and roadmap solutions. You will work hands-on with our benchmark team to prove the solution against real customer workloads, and you will author the technical proposals and responses that allow a customer to make the argument for Lumai inside their own organisation. This is an early-stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering teams, ensuring the voice of the customer shapes what we build next. What You'll Do Work with Lumai's business development lead, owning the technical relationship Conduct deep technical discovery with customer infrastructure and ML engineering teams Translate customer requirements into a Lumai-based solution, mapping needs against both near-term and roadmap solutions Define the shape of an engagement - benchmark, proof of concept, reference architecture, or statement of work Works hands-on with Lumai's benchmark team to scope, run, and interpret benchmarks, and owns the presentation of results Produce the technical case for Lumai - proposals, solution documentation, and responses to RFIs, RFPs, and tenders Design and delivers demos and technical workshops for customer technical teams Feed customer requirements, evaluation feedback, and roadmap reactions back into product and engineering, playing a critical role in driving the Lumai roadmap What We're Looking For Must-Have Substantial experience in a solutions architecture, technical pre-sales, or senior field engineering role within AI infrastructure, high-performance compute, semiconductors, or a comparable deep-tech hardware domain Strong working knowledge of AI inference at scale - how large language models are deployed Familiarity with data centre architecture: rack power, thermal, networking, and integration with existing software stacks Demonstrated ability to lead technical discovery with sophisticated customers and translate requirements into a solution Comfortable operating in a fast-moving, sometimes ambiguous, pre-product environment Strong Preference For Direct experience selling into, or working within, hyperscalers, neo-clouds, frontier AI labs, or national laboratories Awareness of the competitive landscape and how Lumai's optical approach is positioned against it Background or genuine curiosity in novel compute - photonics, optical computing, or other post-silicon architectures Enough hands-on credibility with benchmarking and performance analysis that customer ML and infrastructure engineers respect your reading of results Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On-site Lunches: Enjoy on-site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all-company off-sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR-team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Lumai Limited in the United Kingdom is seeking a Senior Embedded Engineer to build firmware, drivers and RTOS based control software for our AI accelerator, enabling reliable power-on and production operation. You will lead BSP bring-up, develop Linux kernel drivers and collaborate with hardware engineers to validate bring up using JTAG, oscilloscopes and logic analyzers. Strong RTOS and debugging skills are essential.
Oct 06, 2026
Full time
Lumai Limited in the United Kingdom is seeking a Senior Embedded Engineer to build firmware, drivers and RTOS based control software for our AI accelerator, enabling reliable power-on and production operation. You will lead BSP bring-up, develop Linux kernel drivers and collaborate with hardware engineers to validate bring up using JTAG, oscilloscopes and logic analyzers. Strong RTOS and debugging skills are essential.
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role Lumai's hardware needs software that runs reliably at the lowest levels of the stack. As our Senior Embedded Engineer, you will build the firmware, drivers, and RTOS based control software that bring our AI accelerator to life - from initial power on through to stable, performant operation in production systems. What You'll Do Develop and maintain device drivers for Lumai's AI accelerator, targeting Linux kernel and bare metal environments Write and debug firmware for control and management processors alongside the main accelerator die Lead BSP bring up for new hardware revisions: clock tree configuration, interrupt routing, peripheral initialisation Implement RTOS based control tasks using FreeRTOS or equivalent, ensuring deterministic scheduling and safe resource management Work with hardware engineers to validate bring up through JTAG debugging, oscilloscope analysis, and logic capture Establish coding standards, review practices, and testing methodology for the embedded team What We're Looking For Must Have 5+ years of embedded software experience with C/C++ in production hardware products Proven experience writing Linux device drivers (character, platform, or PCIe drivers) Hands on BSP bring up experience on custom hardware - from schematic review to first OS boot Solid understanding of RTOS concepts: task scheduling, inter task communication, memory protection Proficiency with hardware debug tools: JTAG/SWD debuggers, oscilloscopes, logic analysers Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or equivalent experience Strong Preference For Experience with PCIe driver development or DMA engine programming Familiarity with power management frameworks (ACPI, Linux PM runtime) Prior work on AI accelerator or GPU driver development Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with various members of our engineering team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.
Oct 06, 2026
Full time
The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role Lumai's hardware needs software that runs reliably at the lowest levels of the stack. As our Senior Embedded Engineer, you will build the firmware, drivers, and RTOS based control software that bring our AI accelerator to life - from initial power on through to stable, performant operation in production systems. What You'll Do Develop and maintain device drivers for Lumai's AI accelerator, targeting Linux kernel and bare metal environments Write and debug firmware for control and management processors alongside the main accelerator die Lead BSP bring up for new hardware revisions: clock tree configuration, interrupt routing, peripheral initialisation Implement RTOS based control tasks using FreeRTOS or equivalent, ensuring deterministic scheduling and safe resource management Work with hardware engineers to validate bring up through JTAG debugging, oscilloscope analysis, and logic capture Establish coding standards, review practices, and testing methodology for the embedded team What We're Looking For Must Have 5+ years of embedded software experience with C/C++ in production hardware products Proven experience writing Linux device drivers (character, platform, or PCIe drivers) Hands on BSP bring up experience on custom hardware - from schematic review to first OS boot Solid understanding of RTOS concepts: task scheduling, inter task communication, memory protection Proficiency with hardware debug tools: JTAG/SWD debuggers, oscilloscopes, logic analysers Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or equivalent experience Strong Preference For Experience with PCIe driver development or DMA engine programming Familiarity with power management frameworks (ACPI, Linux PM runtime) Prior work on AI accelerator or GPU driver development Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with various members of our engineering team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.