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Utilidata

Utilidata

Software-defined grid optimization for utilities

Application Engineer - Data Center Software

Full-Time
$175k - $245k/yr

+ Stock options

Senior
Bachelor's
Remote in USA
Remote

Periodic travel to customer data center sites and company headquarters in Ann Arbor, Michigan is required.

About the job

Requirements
  • At least 6 years of experience in systems integration, application engineering, solutions engineering, platform engineering, or related technical roles supporting enterprise software deployments in data center environments.
  • A bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a similar field, or equivalent training and on-the-job experience.
  • Strong working knowledge of Linux-based environments, including software installation, system configuration, troubleshooting, and validation.
  • Ability to design and implement application programming interface integrations between disparate software systems, including Representational State Transfer APIs and other common patterns.
  • Experience with containerized and virtualized environments, including the ability to understand and troubleshoot customer deployment architectures.
  • Experience developing integration validation tools, configuration checks, test automation, or deployment verification processes for enterprise software environments.
  • Ability to develop scripts, automation, and integration tooling using Python or Rust.
  • Familiarity with APIs, messaging frameworks, and integration technologies such as Representational State Transfer, gRPC, Kafka, Protocol Buffers, or similar technologies.
  • Ability to engage customer data center operations teams and translate requirements into integration designs.
  • Ability to work independently and own complex technical problems end-to-end.
  • High learning agility across diverse customer software environments.
  • Experience integrating with Data Center Infrastructure Management platforms, hypervisors, or data center management APIs such as Redfish, IPMI, or vendor-specific management interfaces.
  • Experience working directly with customers, stakeholders, or cross-functional technical teams to gather requirements, design solutions, and troubleshoot complex integration challenges.
Responsibilities
  • Work directly with customer data center operations and engineering teams to assess software environments, lead integration discussions, and translate requirements into actionable designs across Data Center Infrastructure Management platforms, custom dashboards, hypervisors, and management APIs.
  • Design, develop, and validate custom API connectors between Karman and customer-specific data center software systems.
  • Validate server builds against Karman's software requirements and write and execute configuration checkers and test suites for installation across customer environments.
  • Conduct benchmark-driven and exploratory performance testing to identify and resolve bottlenecks.
  • Debug integration issues and installation failures independently by collaborating closely with internal software engineering teams on the Karman platform.
  • Drive execution and sign-off of software installation requirement checklists for each customer engagement.
  • Use an AI-first approach to automate processes and generate test frameworks, configuration checkers, integration artifacts, and deployment documentation.
  • Build the software integration playbook, including repeatable processes, templates, and documentation that scale the function beyond individual customer engagements.
  • Create and maintain software integration artifacts, including software validation checklists, test plans, configuration guides, key performance indicator trackers, and After-Action Reports.
  • Participate in roadmap meetings, engineering design reviews, and sprint planning to maintain a current understanding of the Karman platform.
  • Serve as the feedback loop between customer deployments and core engineering by translating integration learnings into platform improvements.
  • Support the Technical Operations team with software integration expertise for escalated production incidents related to initial installation.
  • Participate in an on-call rotation to provide 24x7 customer support.
Desired Qualifications
  • Familiarity with observability and monitoring tooling common in data center environments, such as Prometheus and Grafana.
  • Experience building or contributing to structured software integration processes, checklists, or validation frameworks.
  • Experience with GitOps-based deployment workflows, such as ArgoCD and Helm.

About the company

Utilidata digitizes the grid edge with software that runs on a smart grid chip developed with NVIDIA. The company provides software licenses and services to utilities and energy providers to optimize the distribution and management of energy in real time, using data and machine learning to coordinate distributed energy resources. This hardware-software approach helps utilities reduce costs, improve reliability, and enable higher integration of renewable energy. Unlike purely software-only grid tools, Utilidata combines a hardware-accelerated chip with software to run advanced grid-management algorithms at the edge, offering data-driven insights and operational efficiency directly where the energy flows. The company’s goal is to accelerate the adoption of clean energy by making grid operations more flexible, reliable, and capable of handling increased renewable generation and distributed resources.

Company Size

51-200

Company Stage

Series C

Total Funding

$155.3M

Headquarters

Ann Arbor, Michigan

Founded

2012

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Simplify's Take

What believers are saying

  • May 28, 2026 financing reached $100 million, funding commercialization and hiring.
  • March 12, 2026 Montreal launch targets 50% more usable capacity without new grid power.
  • February 4, 2026 Ann Arbor headquarters added 25 jobs and a state-backed innovation lab.

What critics are saying

  • NexGen Cloud is the first commercial deployment; one customer anchors credibility through 2026.
  • Revelio data shows 2026 headcount fell 9.6%, signaling execution strain after fundraising.
  • NVIDIA owns the hardware stack; strategic dependence invites margin pressure and partner capture.

What makes Utilidata unique

  • Karman pairs NVIDIA Jetson compute with rack-level power control, not utility software.
  • September 2026 rebrand to Karman centers the company on AI data center power orchestration.
  • March 2026 NexGen Cloud deployment validates real-time 20-millisecond, million-samples-per-second infrastructure control.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-1%

2 year growth

1%
Associated Press
Sep 17th, 2026
Utilidata rebrands as Karman to boost AI data centre power efficiency by 50%

Utilidata has rebranded as Karman, adopting the name of its power orchestration platform. The company, which specialises in embedded AI for power infrastructure, made the change to reflect its evolution towards meeting AI data centre needs. The Karman platform, powered by a custom NVIDIA module, combines high-resolution metrology with local processing and AI. According to the company, it increases AI tokens per watt by 50% or more for AI data centres by unlocking stranded power capacity. Karman's first commercial deployment is currently operating with NexGen Cloud in an Enovum data centre in Montreal. The platform embeds directly into power infrastructure to monitor conditions in real-time, delivering visibility and control to data centre operators. The company has expanded its board of directors with Jeff Bladen and Dave Johnson.

Utilidata
Sep 12th, 2026
Utilidata | Utilidata Raises $40 Million Extension, Completing $100M Series C to Maximize AI Compute Capacity

The added investment from Renown Capital Partners and Keyframe Capital will enable Utilidata to rapidly execute upon its commercial growth strategy and expand its workforce

Ann Arbor SPARK
Jun 1st, 2026
Utilidata raises $40 million extension, completing $100M Series C to maximize AI compute capacity.

Utilidata raises $40 million extension, completing $100M Series C to maximize AI compute capacity. The added investment from Renown Capital Partners and Keyframe Capital will enable Utilidata to rapidly execute upon its commercial growth strategy and expand its workforce. Utilidata, a leader in embedded AI for power infrastructure, announced today that it has secured an additional $40 million in Series C funding. The round was led by existing investor Renown Capital Partners with participation from Keyframe Capital, completing the Series C at $100 million. The extension marks the second and final close of Utilidata's Series C financing, following the company's initial $60.3 million round led by Renown Capital in April 2025, with participation from Keyframe Capital, Quanta Services, and NVIDIA. The funding will strengthen Utilidata's position to scale commercialization with hyperscalers and the data center market. The company's power orchestration platform, Karman, was developed in partnership with NVIDIA, and unlocks stranded capacity with real-time visibility and control of power utilization. Built on a custom NVIDIA Jetson Orin Nano module, Karman is designed to be embedded at the rack level of data centers to manage rack power in real time, providing operators with high-speed visibility of power utilization. "The AI infrastructure buildout is one of the defining themes of this decade, but power is a fundamental limitation," said James McIntyre, Co-Founder & Managing Partner, Renown Capital Partners. "Karman directly solves that problem by getting more out of the power that is available. We're deepening our commitment to Utilidata because the market need is urgent, the technology is ready, and we are confident that the team has what it takes to deliver." Continued support from investors reflects growing recognition that AI growth depends on solving fundamental infrastructure problems. Power is the binding constraint. Interconnection queues stretch years and the increasing density of GPU compute creates power quality challenges that can push instability back onto the grid. The industry needs solutions that intelligently orchestrate power to maximize the performance of existing infrastructure, unlock stranded capacity, and enable denser deployments without causing issues on the grid. Karman smooths power fluctuations, reducing negative grid impacts that pose regulatory risks to data center interconnection and operations outlined in the recent guidelines from North American Electric Reliability Corporation (NERC). The Series C extension comes ahead of Utilidata's first commercial deployment with NexGen Cloud, which will go live in Montreal next month and target up to 50% additional usable capacity. "We've believed in this team for a long time, and this round reflects our conviction that Karman is the breakthrough technology at exactly the right moment," said John Rapaport, CIO, Keyframe Capital. "AI data centers can't afford to wait for new power capacity. They need to maximize what they have now and that is exactly what Karman delivers." To support Utilidata's next phase of growth, the company is expanding its executive leadership team with the addition of Kit Chee as Chief Commercial Officer. Kit joins the team to lead Utilidata's commercial strategy, having previously scaled Intel's cloud sales from $9B to $23B, secured several hyperscalers at Ampere, and helped shape the growth strategy for an ASEAN neocloud. Along with the addition of Kit, Utilidata is increasing their workforce by 25% this year, many of which are based at their headquarters in Ann Arbor, Michigan, a new state-of-the-art 15,000-square-foot innovation lab with funding support from Governor Whitmer. Ann Arbor SPARK supported Utilidata's relocation to Ann Arbor by connecting the company with local resources, office space opportunities, and the region's highly skilled technology talent. "Power availability is the defining constraint for data centers right now," said Josh Brumberger, CEO of Utilidata. "Karman squeezes every watt out of the power you already have, and makes every new megawatt you bring online work smarter. We're commercializing this at exactly the right moment, and we're grateful for the investors who've backed us to do it."

dBusiness
May 28th, 2026
Utilidata in Ann Arbor raises $40M Series C funding to maximize AI compute capacity.

Utilidata in Ann Arbor raises $40M Series C funding to maximize AI compute capacity. Utilidata, a company in Ann Arbor that provides embedded AI for power infrastructure, announced today that it has secured an additional $40 million in Series C funding completing the series at $100 million. The funding will strengthen the company's position to scale commercialization with hyperscalers and the data center market. May 28, 2026 Utilidata, a company in Ann Arbor that provides embedded AI for power infrastructure, announced today that it has secured an additional $40 million in Series C funding completing the series at $100 million. The funding will strengthen the company's position to scale commercialization with hyperscalers and the data center market. The round was led by existing investor Renown Capital Partners with participation from Keyframe Capital. The extension marks the second and final close of Utilidata's Series C financing, following the company's initial $60.3 million round led by Renown Capital in April 2025, with participation from Keyframe Capital, Quanta Services, and NVIDIA. The company's power orchestration platform, Karman, was developed in partnership with NVIDIA, and unlocks stranded capacity with real-time visibility and control of power utilization. Built on a custom NVIDIA Jetson Orin Nano module, Karman is designed to be embedded at the rack level of data centers to manage rack power in real time, providing operators with high-speed visibility of power utilization. ADVERTISING "The AI infrastructure buildout is one of the defining themes of this decade, but power is a fundamental limitation," says James McIntyre, co-founder and managing partner of Renown Capital Partners. "Karman directly solves that problem by getting more out of the power that is available. We're deepening our commitment to Utilidata because the market need is urgent, the technology is ready, and we are confident that the team has what it takes to deliver." Continued support from investors reflects growing recognition that AI growth depends on solving fundamental infrastructure problems. Power is the binding constraint, according to Utilidata. Interconnection queues stretch years and the increasing density of GPU compute creates power quality challenges that can push instability back onto the grid, the company says. "Power availability is the defining constraint for data centers right now," says Josh Brumberger, CEO of Utilidata. "Karman squeezes every watt out of the power you already have and makes every new megawatt you bring online work smarter. We're commercializing this at exactly the right moment, and we're grateful for the investors who've backed us to do it." The industry needs solutions that intelligently orchestrate power to maximize the performance of existing infrastructure, unlock stranded capacity, and enable denser deployments without causing issues on the grid, Utilidata says. Its Karman solution is designed to smooth power fluctuations, reducing negative grid impacts that pose regulatory risks to data center interconnection and operations outlined in the recent guidelines from North American Electric Reliability Corp. (NERC). The Series C extension comes ahead of Utilidata's first commercial deployment with NexGen Cloud, which will go live in Montreal next month and target up to 50 percent additional usable capacity. "We've believed in this team for a long time, and this round reflects our conviction that Karman is the breakthrough technology at exactly the right moment," says John Rapaport, CIO of Keyframe Capital. "AI data centers can't afford to wait for new power capacity. They need to maximize what they have now and that is exactly what Karman delivers." To support Utilidata's next phase of growth, the company is expanding its executive leadership team with the addition of Kit Chee as chief commercial officer. Previously, Chee scaled Intel's cloud sales from $9 billion to $23 billion, secured several hyperscalers at Ampere, and helped shape the growth strategy for an ASEAN neocloud. Along with the addition of Chee, Utilidata is increasing its workforce by 25 percent this year, many of which are based at their headquarters in Ann Arbor, a new state-of-the-art 15,000-square-foot innovation lab.

SiliconANGLE Media
May 28th, 2026
Utilidata raises $40M to boost data centre power efficiency with Karman module

Utilidata has raised $40 million from Renown Capital Partners and Keyframe Capital, extending its Series C round to $100.3 million. The funding will expand adoption of Karman, a hardware module that optimises data centre power usage. Karman measures server rack energy consumption one million times per second and redirects excess electricity to other areas when usage drops. The module responds to utilisation changes in 20 milliseconds, enabling data centres to maximise existing power capacity rather than purchasing additional supply. Built on Nvidia's Jetson Orion Nano accelerator, Karman can also identify when operators set aside excessive power reserves. Utilidata recently partnered with NextGen Cloud to deploy the technology, aiming to boost usable inference capacity by up to 50%. The module also supports power grid applications, including residential smart metres.