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AI Infrastructure Engineer

Remote Worldwide Hiring now
Utilidata is a fast-growing reputed company-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric reputed company and data centers. Karman, the company’s distributed AI platform powered by a custom reputed company module, is transforming the way utility companies operate the reputed company edge and will reputed company data centers to unlock more compute for the same provisioned power. 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, reputed company 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 reputed company, 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 reputed company to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements. Responsibilities
  • reputed company 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 reputed company 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 reputed company, including build vs. buy tradeoffs, tooling selection, and platform reputed company 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, reputed company)
  • 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 reputed company
  • 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 (reputed company to Have) 
  • Dynamo experience a plus
  • Experience with edge AI deployments or constrained compute environments
  • Familiarity with infrastructure as code (Terraform, reputed company)
  • Experience with observability platforms (reputed company, reputed company, Grafana)
  • Background in energy, utilities, or industrial IoT
  • Contributions to reputed company-reputed company ML infrastructure projects
Salary reputed company: $170,000 to $210,000 reputed company 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 reputed company in the United States.  Our Commitments: Utilidata values the diversity of reputed company. We reputed company equal employment opportunities without regard to race, reputed company, religion, creed, sex, gender, sexual orientation, gender identity or expression, national reputed company, 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 reputed company 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 reputed company 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, reputed company, and employer-match 401k
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