L

Luxor

Provides mining software, advisory, and derivatives

Golang Engineer - Cloud Platform

Full-Time
No salary listed
Mid
North America
RemoteMust work core hours in LATAM (GMT-3) or the Philippines (GMT+8).
DevOps & InfrastructurePlatform Engineering

About the job

Requirements
  • You have deep experience building high-performance, concurrent applications in Golang and optimizing performance at scale.
  • You have a strong track record of architecting and maintaining gRPC services and creating robust, documented contracts for internal and external consumers.
  • You have implemented or managed identity services using the Ory stack, including Kratos, Keto, Hydra, or similar OpenID Connect and OAuth2 providers.
  • You understand overlay networking, such as WireGuard and service mesh, for securely connecting microservices.
  • You have experience anticipating adversarial behavior, including distributed denial-of-service attacks, and implementing mitigation strategies, potentially using eBPF or traffic shaping techniques.
  • You design immutable infrastructure that supports full tear-down, failover, and rapid reconstruction without manual intervention.
  • You can write clear Engineering Requirement Documents and translate abstract concepts into actionable technical plans.
  • You build monitors, define error boundaries, and document operational expectations.
  • You can set direction in an early-stage environment where priorities shift and clarity must be created.
  • You can work reliably within core time zones in LATAM (GMT-3) or the Philippines (GMT+8) and communicate comfortably in English.
Responsibilities
  • Architect, maintain, and evolve core gRPC application programming interface services based on ConnectRPC.
  • Design and operate a private, programmable microservices fabric that securely connects microservices across the platform.
  • Manage identity services on top of the Ory stack, including Kratos, Keto, and Hydra.
  • Develop distributed denial-of-service mitigation strategies by anticipating and countering adversaries.
  • Build high-performance Golang gRPC services designed to scale to millions and eventually billions of users.
  • Define and implement infrastructure following immutable principles, enabling full tear-down, failover, and rapid reconstruction.
  • Drive ideas from concept to reality by writing Engineering Requirement Documents and translating them into actionable plans and measurable outcomes.
  • Collaborate with Applications teams using TypeScript and Platform teams to expose robust, well-designed APIs for internal and future external consumers.

About the company

L

Luxor

View
Website

Luxor operates in the Bitcoin mining and compute power space, offering software and financial services to optimize mining operations. Its products include ASIC miner procurement tools, mining advisory services, and hashrate derivatives, serving Bitcoin miners, market makers, and investment firms. The company uses software to optimize hashprice and mining profitability, with offerings that span procurement, advisory, and financial instruments like hashrate forwards. Luxor views compute power as a digital commodity and builds tools and infrastructure to help users manage, buy, and hedge mining capacity. Compared with competitors, Luxor bundles technical software, strategic advisory, and market-based financial products in one ecosystem and emphasizes treating compute power as a tradable asset. The goal is to improve the efficiency, profitability, and resilience of the Bitcoin mining industry by providing practical tools and financial solutions that align incentives across participants.

Company Size

51-200

Company Stage

Series A

Total Funding

$5.7M

Headquarters

Bellevue, Washington

Founded

2018

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Simplify's Take

What believers are saying

  • Luxor Energy currently services over 75 MW, giving immediate recurring power-management revenue.
  • Aug. 24, 2026 ERCOT testing validated GPU curtailment under 500 milliseconds without inference disruption.
  • Luxor's $1 billion ASIC trading history and 300,000 LuxOS machines create strong cross-sell leverage.

What critics are saying

  • Bitcoin miner demand concentration leaves Luxor exposed if hashrate economics collapse in 2027.
  • MicroBT partnership deepens hardware dependence; any rival firmware ban or supply squeeze damages distribution.
  • Luxor AI lacks disclosed revenue; if AI customers stay pilot-only, expansion burns cash quickly.

What makes Luxor unique

  • September 2026 Luxor AI unifies mining software, power procurement, hardware sourcing, and compute trading.
  • LuxOS now supports MicroBT WhatsMiner, while MicroBT signed a strategic investment term sheet on April 26, 2026.
  • Luxor Energy operates ERCOT and SPP demand response, proven by August 24, 2026 GPU curtailment.

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Benefits

  • Remote Work Options

Company News

PR Newswire
Sep 24th, 2026
Luxor Technology launches full-stack AI infrastructure business with $1B hardware desk

Luxor Technology has launched Luxor AI, extending its Bitcoin mining infrastructure into AI and high-performance computing markets. The company opened a San Francisco office to support the expansion. Luxor AI offers full-stack services for AI data centres, including energy supply through its Retail Electric Provider licence, GPU and AI hardware sourcing, compute trading, and over-the-counter derivatives. The company's Tenki Cloud platform has processed 1.8 million workloads year to date. Luxor's hardware brokerage has traded $1 billion in ASIC hardware and now sources GPUs through partnerships with major OEMs. The company holds licences as a Value-Added Reseller and freight forwarder. Luxor Energy currently services over 75 MW of load and operates in ERCOT and SPP markets, helping data centres participate in demand response programmes.

Maxbit
Aug 31st, 2026
AI data centers adopt Bitcoin mining's power flexibility strategy.

AI data centers adopt Bitcoin mining's power flexibility strategy. As AI data centers strain electrical grids, companies are testing demand-response techniques pioneered by Bitcoin miners, allowing flexible workloads to pause when power is scarce. The computational demands of artificial intelligence are creating strain on electrical grids across the United States. AI data centers consume enormous amounts of electricity, with some large campuses using as much power as small cities. When multiple data centers arrive faster than new transmission infrastructure can be built, the mismatch creates pressure on utilities to find new solutions. One emerging approach involves shifting non-urgent computing work to periods when electricity is more abundant. A demonstration in Texas shows how this might work in practice. Luxor Energy, a company with origins in Bitcoin mining, partnered with Bentaus, a software provider that controls power consumption on computer chips, to test demand response on a single Nvidia B200 chip used for AI inference tasks. During the test, the chip's power draw fell to roughly 25% of normal within half a second when software restrictions were applied. The companies reported no failed jobs or lost work, and the chip returned to full speed when the restriction ended. However, fewer requests were processed during the reduced-power period, meaning customers experienced longer wait times for some responses. The Texas grid crunch. Texas illustrates the urgency of the problem. The Electric Reliability Council of Texas (ERCOT) reported that on July 22, electricity use reached a preliminary record of 91,089 megawatts. Gov. Greg Abbott stated that ERCOT was reviewing requests to connect more than 474 gigawatts of new electricity use, with approximately 90% coming from data centers. According to a Lawrence Berkeley National Laboratory estimate published this year, data centers could consume 11.8% of US electricity by 2030, with estimates ranging from 9.5% to 15.3%. The International Energy Agency expects data centers to account for roughly half of the increase in US electricity use through the end of the decade. Building new transmission lines remains slow. In advanced economies, transmission lines typically take four to eight years to complete, and waits for critical equipment like transformers and cables have doubled over the past three years. Bitcoin mining as precedent. Bitcoin miners demonstrated that computation can be interrupted when electricity becomes scarce or expensive. When power prices spike, miners can shut down operations and resume almost immediately when prices normalize, since no customer is waiting for a response. An ERCOT review in April identified crypto miners as the primary price-sensitive participants in one of its emergency demand-response programs. For miners, the calculation is straightforward: when electricity costs exceed potential Bitcoin earnings, operations stop. Luxor's experience in Bitcoin mining positioned it to explore similar flexibility for AI workloads. The question now is whether machines serving customers can adopt the mining industry's responsiveness to electricity prices. Challenges and solutions. Implementing demand response across entire data centers involves significant complexity. Large AI operations run thousands of interdependent chips, and slowing one group can create delays that ripple through nearby systems. However, not all computing work requires immediate processing or full speed. Time-sensitive tasks like interactive services and safety systems could continue at normal capacity, while less urgent work such as internal experiments, indexing, or overnight processing could flex with grid conditions. Some workloads could even shift to data centers in regions with more available electricity. Making this work requires reliable measurement and verification. Utilities need to know how much power a data center would have used without restrictions, confirm actual reductions through meter data, and understand how long reductions can last and what happens when systems ramp back up. Customer contracts become essential in this framework. Data centers could offer lower rates for flexible workloads in exchange for the ability to reduce power during grid emergencies, while keeping mission-critical services uninterrupted. Texas is also reconsidering how it sets transmission charges for large users. Current rules based on four summer peaks may miss hours when the grid faces greatest stress, with regulators proposing a shift to monthly 30-minute peaks instead. The larger implication. The core insight is that not every computation carries equal urgency. An image might take longer to render or a training job might shift to the next day when the grid is stressed, while time-sensitive services continue normally. If data center operators can convert this flexibility into dependable, measurable power savings that utilities can count on, AI's substantial electricity appetite could become manageable within existing grid constraints. The next phase of AI expansion could depend as much on using power efficiently as on finding sufficient capacity to begin with.

PR Newswire
Aug 24th, 2026
Luxor Energy and Bentaus cut AI GPU power to 25% in under 500ms, first to respond to ERCOT grid signals

Luxor Energy and Bentaus have successfully demonstrated the first AI GPU response to Texas ERCOT grid signals. Using Bentaus's Ziani platform, the companies reduced a live GPU's power draw to 25% in under 500 milliseconds without disrupting inference workloads. The test involved ERCOT's Four Coincident Peak programme, which allocates transmission costs based on consumption during peak demand periods. The GPU workloads could checkpoint, pause and resume, enabling significant power reduction through Ziani software. The companies are now enrolling the technology in additional grid programmes, including ERCOT's Emergency Response Service. They are testing across multiple GPU generations whilst researching profitability impacts. Luxor Energy provides energy services to Bitcoin miners and AI data centres. Bentaus develops infrastructure that transforms AI data centres into grid-interactive resources responding to energy conditions in real time.

Data Centre Magazine
Aug 12th, 2026
Mindstream Energy: partnerships key to AI campus in Jordan.

Mindstream Energy: partnerships key to AI campus in Jordan. August 12, 2026 Mindstream Energy brings Fog Hashing's closed-loop liquid cooling and Luxor Technology's fleet management software to its Al-Risha AI data centre campus Mindstream Energy has signed separate agreements with Fog Hashing and Luxor Technology covering cooling hardware and operating software for the Al-Risha Sovereign AI & Digital Infrastructure Campus, the site it is developing in Jordan. The company is positioning Al-Risha as an energy-backed platform for sovereign AI, high-performance computing and digital asset computing, working to the principle of building compute where the energy already sits. Fog Hashing will supply modular liquid-cooled systems for the first computing deployment on site, while Luxor's firmware and fleet management tools will run the machines inside them. Closed-loop cooling in the desert. Water availability shapes what can be built in Jordan, and the cooling choice reflects that. Fog Hashing's closed-loop design recirculates fluid through the system rather than drawing on a continuous external supply, removing one of the constraints that has limited high-density deployments in arid regions. Fog Hashing is a modular data centre solutions provider covering both energy and cooling infrastructure, with customers in more than 40 countries and more than 400MW deployed to date. The systems arriving at Al-Risha are factory-built, which shortens the gap between site readiness and live capacity. "Mindstream's energy-to-compute model comes down to how quickly you can deploy dense, reliable power and efficient cooling infrastructure," says Paul Li, CEO of Fog Hashing. "That is exactly what its prefabricated modular digital asset computing systems are designed to deliver. Its closed-loop liquid-cooling technology continuously recirculates cooling fluid, eliminating the need for a continuous external water supply, an important advantage for large-scale computing in desert environments such as Al-Risha. "Combined with factory-built modular deployment, these systems can bring substantial computing capacity online in months rather than years, with the efficiency, scalability and flexibility required for large-scale operations." An operating layer for the fleet. Luxor Technology handles the software side. The company's portfolio spans LuxOS firmware, its Commander fleet management platform, mining pool services, ASIC hardware, derivatives and risk-management tools and the Hashrate Index market intelligence service. For Mindstream, the relevant pieces are LuxOS, which gives operators control over power draw, hashrate and thermal behaviour at machine level, and Commander, which centralises monitoring and automates routine tasks across the estate. The combination allows a small team to run a large fleet and to tune consumption against whatever energy is available at a given moment - a useful property for a campus whose economics rest on flexible load. Why digital assets come first. Digital asset computing is expected to serve as the initial workload at Al-Risha, absorbing available energy while the AI and HPC build-out progresses. It is a familiar sequencing decision for energy-led developers: mining load can be deployed quickly, scaled in increments and curtailed without the service commitments that come with hosting AI training or inference customers. That approach also lets Mindstream establish power, cooling and operating practices on site before the more demanding workloads arrive. The two agreements are separate arrangements, with Fog Hashing responsible for the physical environment and Luxor for what runs inside it. "Fog Hashing and Luxor bring two critical capabilities to our operating model," says Mark Thimmig, Chairman and CEO of Mindstream Energy. "Fog provides the modular physical infrastructure and efficient liquid-cooling environment, while Luxor provides the technology and operational intelligence to manage and optimise the computing assets operating within it. "Together, they strengthen our ability to build a scalable, efficient and professionally managed digital asset computing platform." Company Portals

PR Newswire
Apr 27th, 2026
Luxor expands LuxOS to MicroBT WhatsMiner, and MicroBT intends for a strategic investment.

Luxor expands LuxOS to MicroBT WhatsMiner, and MicroBT intends for a strategic investment. Apr 26, 2026, 19:30 ET SEATTLE, April 26, 2026 /PRNewswire/ - Today, Luxor Technology Corporation ("Luxor") announces the expansion of LuxOS firmware support to MicroBT WhatsMiner series miners, growing the LuxOS ecosystem. In addition, MicroBT, via its investment manager Inflection Technology Limited ("ITL"), has signed a term sheet to make a strategic investment into Luxor. Luxor has also committed to a US$100,000,000 purchase of MicroBT WhatsMiner hardware. Luxor is working directly with a select group of mining partners to deploy and expand model support over time. With more than 300,000 Bitcoin mining machines already running LuxOS globally, Luxor brings to the WhatsMiner ecosystem the same enterprise-grade firmware infrastructure that large-scale mining operators rely on. MicroBT hardware represents a significant share of global Bitcoin mining capacity, and with this expansion, those operators now have access to flexible firmware features. WhatsMiner fleets running LuxOS gain access to Power Targeting, Advanced Thermal Management, safe rapid curtailment, and faster ramp-up time - unlocking new capabilities beyond stock settings. Power Targeting delivers consistent, predictable performance across individual machines and makes infrastructure planning easier at scale. When shifting power targets, LuxOS completes the transition in 30-60 seconds while continuing to hash at higher hashrates - capturing additional hashrate. LuxOS also improves ramp-up time across curtailment events, reaching full capacity faster and reducing the unharvested hashrate lost every time machines cycle. Initial support spans select models in the M50 series. For the full list of supported models, visit docs.luxor.tech. "We are excited to build on the MicroBT WhatsMiner platform. We are consistently impressed by their ability to execute with high-quality machines. Our clients have been asking for WhatsMiner firmware for years, and we have shipped a product that is going to help deliver significant profitability and usability benefits. We are also excited to welcome MicroBT as a strategic investor." - Lauren Lin, Head of Hardware and Software of Luxor "Luxor has continued to be one of MicroBT's trusted global partners. With their talented engineering team, we are excited they are building on top of the Whatsminer platform. We are happy to be taking a strategic position in Luxor and supporting their continued growth through this hardware partnership." - Dr.Yang, CEO and Co-Founder of MicroBT Operators running LuxOS have access to Luxor's full-stack mining experience: pool, hashrate derivatives, energy services, and Luxor Commander for fleet management - unified under a single platform. Commander includes Intelligent Miner, which keeps fleets running at peak profitability by continuously adjusting power settings based on real-time hashprice and energy prices. Luxor is rolling out LuxOS for WhatsMiner in a phased approach, onboarding operations directly to ensure a high-quality deployment experience. Mining operations running WhatsMiner hardware can express interest in access at luxor.tech/contact. About Luxor Technology Corporation Luxor delivers hardware, software, and financial services that power the global compute and energy industry. Its product suite spans Bitcoin Mining Pools, ASIC Firmware, Hardware trading, Hashrate Derivatives, Energy services, a Miner Management software, Commander, and a bitcoin mining data platform, Hashrate Index. If you are interested in contacting Luxor, please email [email protected]. SOURCE Luxor Technology