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Utilidata Jobs (NOW HIRING)

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Events & Marketing Lead

Ann Arbor, MI · On-site +1

$100K - $125K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Events & Marketing Lead

Ann Arbor, MI · Remote

$100K - $125K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Senior Network & Systems Engineer

Ann Arbor, MI · On-site

$125K - $155K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Senior Network & Systems Engineer

Ann Arbor, MI · On-site

$125K - $155K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Principal Software Engineer, DevOps

Ann Arbor, MI · Remote

$180K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · Remote

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Technical Program Manager, Hardware

Ann Arbor, MI · On-site

$115K - $145K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · Remote

$120K - $150K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

Utilidata

Embedded Firmware Engineer

Ann Arbor, MI · On-site +1

$135K - $175K/yr

Embedded Firmware Engineer Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade ...

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Utilidata information

What is Utilidata and what do they do?

Utilidata is a technology company that specializes in developing software and solutions for the electric grid. They use advanced technologies like artificial intelligence and real-time data analytics to help utilities optimize power distribution, improve grid reliability, and integrate renewable energy sources. Their products are designed to make the electrical grid more efficient, resilient, and capable of supporting the transition to cleaner energy. Utilidata works with utility companies, grid operators, and technology partners to modernize grid operations and address the challenges of a rapidly changing energy landscape.

What is the difference between Utilidata vs Data Analyst?

AspectUtilidataData Analyst
Required CredentialsBachelor's degree in engineering, energy, or related fields; technical certificationsBachelor's or master's in statistics, mathematics, or related fields; data analysis certifications
Work EnvironmentUtility companies, energy sector, technical teamsCorporate offices, consulting firms, data-driven industries
Industry UsagePower grid optimization, energy managementBusiness insights, market analysis, reporting

Utilidata professionals focus on energy management and grid optimization within utility companies, requiring technical and engineering skills. Data Analysts analyze data to generate insights across various industries, often with a focus on business intelligence. While both roles involve data handling, Utilidata roles are more specialized in energy systems, whereas Data Analysts have broader applications across sectors.

What are the key skills and qualifications needed to thrive as a Utilidata Engineer, and why are they important?

To thrive as a Utilidata Engineer, you need a solid background in electrical engineering, power systems, and data analytics, often supported by a bachelor's degree in engineering or a related field. Familiarity with grid optimization software, SCADA systems, and programming languages such as Python or MATLAB is typically required. Strong problem-solving abilities, teamwork, and effective communication skills help professionals excel in cross-functional environments. These skills are crucial for ensuring efficient power grid operations, integrating new technologies, and delivering innovative solutions in the energy sector.

What are some typical projects or responsibilities for team members at Utilidata?

Team members at Utilidata often work on projects related to grid optimization, data analytics, and software development for utility companies. Responsibilities may include designing and implementing algorithms for real-time energy management, collaborating with utilities to integrate advanced technologies, and participating in cross-functional teams to deliver innovative solutions. The work environment is highly collaborative and fast-paced, offering opportunities to contribute to impactful energy initiatives and to learn from industry experts. Employees are encouraged to take ownership of their projects and are supported in their professional growth through training and mentorship.
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Utilidata jobs near you
Infographic showing various Utilidata job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% Physical, and 50% Remote job distribution.
AI Infrastructure Engineer

AI Infrastructure Engineer

Utilidata

Ann Arbor, MI • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments, and data center integrations. They are also responsible for designing, building, and owning the integration of power data with AI inference software. This is Utilidata's first dedicated role of this kind, and will serve as the foundational function for how the company deploys and operates AI capabilities in production. The role requires deep technical expertise in ML model serving, distributed systems, and GPU infrastructure, with a strong emphasis on reliability, performance, and scalability. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements.
Responsibilities
  • Lead the design and build of Utilidata's AI inference platform - establishing architecture patterns, deployment standards, and operational practices that will scale with the company
  • Own end-to-end model serving infrastructure for Utilidata's AI infrastructure (on-prem and datacenter)
  • Build and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a focus on low latency, reliability, and cost efficiency
  • Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms
  • Optimize GPU utilization and inference performance across our hardware fleet, including NVIDIA accelerators central to Utilidata's edge AI platform
  • Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and rollback across environments
  • Contribute to infrastructure roadmap decisions, including build vs. buy tradeoffs, tooling selection, and platform evolution as the team grows

Minimum Qualifications
  • 5+ years of software engineering experience with a strong focus on AI infrastructure, backend systems, or distributed systems
  • Hands-on experience with AI model serving frameworks (e.g., vLLM, SGLang, Triton, TensorRT, TorchServe, or similar)
  • Understanding of container orchestration and cluster management (Kubernetes, Docker)
  • Experience deploying and operating infrastructure across both datacenter and on-prem environments
  • Strong knowledge of GPU workloads and the tradeoffs that come with them - you understand how inference differs from training, and why it matters
  • Proficiency in Python; C++, CUDA, Go, Rust a plus
  • Excellent communication skills and comfort working cross-functionally in a lean, fast-moving environment
  • Willingness to travel up to 10% of time

Enhanced Qualifications (Nice to Have)
  • Dynamo experience a plus
  • Experience with edge AI deployments or constrained compute environments
  • Familiarity with infrastructure as code (Terraform, Helm)
  • Experience with observability platforms (Datadog, Prometheus, Grafana)
  • Background in energy, utilities, or industrial IoT
  • Contributions to open-source ML infrastructure projects

Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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