{"id":1386296,"url":"https://alion.io/job/ann-arbor-spark-ai-infrastructure-engineer-karman","title":"AI Infrastructure Engineer - Karman","company":{"id":1819013,"name":"Ann Arbor SPARK","domain":"annarborusa.org","url":"https://alion.io/company/annarborusa","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT","optional":false},{"name":"TorchServe","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"Prometheus","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-28T10:15:53Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-20T16:12:36Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Karman 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.\nThe 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.\nResponsibilities\nLead the design and build of Utilidata's AI inference platform - establishing architecture patterns, deployment standards, and operational practices that will scale with the company\nOwn end-to-end model serving infrastructure for Utilidata's AI infrastructure (on-prem and datacenter) \nBuild and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a focus on low latency, reliability, and cost efficiency\nCollaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms \nOptimize GPU utilization and inference performance across our hardware fleet, including NVIDIA accelerators central to Utilidata's edge AI platform\nEstablish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and rollback across environments\nContribute to infrastructure roadmap decisions, including build vs. buy tradeoffs, tooling selection, and platform evolution as the team grows\nMinimum Qualifications\n5+ years of software engineering experience with a strong focus on AI infrastructure, backend systems, or distributed systems\nHands-on experience with AI model serving frameworks (e.g., vLLM, SGLang, Triton, TensorRT, TorchServe, or similar)\nUnderstanding of container orchestration and cluster management (Kubernetes, Docker)\nExperience deploying and operating infrastructure across both datacenter and on-prem environments\nStrong knowledge of GPU workloads and the tradeoffs that come with them - you understand how inference differs from training, and why it matters\nProficiency in Python; C++, CUDA, Go, Rust a plus\nExcellent communication skills and comfort working cross-functionally in a lean, fast-moving environment\nWillingness to travel up to 10% of time \nEnhanced Qualifications (Nice to Have)\nDynamo experience a plus\nExperience with edge AI deployments or constrained compute environments\nFamiliarity with infrastructure as code (Terraform, Helm)\nExperience with observability platforms (Datadog, Prometheus, Grafana)\nBackground in energy, utilities, or industrial IoT\nContributions to open-source ML infrastructure projects\nSalary 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.\nLocation: This position can be performed remotely from anywhere in the United States.\nOur Commitments:\nKarman 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.\nWe are committed to:\nCreating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful\nEmpowering employees to solve problems and work together to make a difference\nProviding mentorship and growth opportunities as part of a collaborative team\nA flexible work environment with flexible paid time off\nCompetitive compensation and benefits, including health, dental, vision, and employer-match 401k","description_format":"text","description_chars":4807,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Flexible schedule","Growth opportunities","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-28T10:15:53Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.829,"p_room":0.9,"age_days":21,"expected_fill_days":36,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/ann-arbor-spark-ai-infrastructure-engineer-karman","json_url":"https://alion.io/job/ann-arbor-spark-ai-infrastructure-engineer-karman.json","meta":{"generated_at":"2026-10-20T19:34:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22593,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1819013},"rest":"https://alion.io/mcp/rest/get_company?id=1819013"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fann-arbor-spark-ai-infrastructure-engineer-karman"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fann-arbor-spark-ai-infrastructure-engineer-karman"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fann-arbor-spark-ai-infrastructure-engineer-karman"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ann-arbor-spark-ai-infrastructure-engineer-karman\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fann-arbor-spark-ai-infrastructure-engineer-karman"}]}