Dynamic Power Management (DPM) is the system that makes this real. It measures, forecasts, and orchestrates energy use across our data centers, from the site down to the individual GPU, so power goes where it does the most work. That lets us put more compute behind every megawatt, keep sites running smoothly as electrical conditions change, and deliver consistent performance to every customer.
This is a mission-critical system and a ground-up build: it runs underneath every customer workload, so it has to be precise, observable, and dependable from day one. As one of the founding engineers, you’ll work with the principal architect to turn product requirements into a production architecture, ship the first version, and help shape the team that grows around it. The work runs end to end, from GPU energy management and hardware telemetry up to capacity planning and placement, and it ties directly to revenue.
What You’ll Be Working On
The DPM control loop. Design and build the system that allocates power across site, row, rack, node, and GPU based on real demand, applies those decisions through GPU and chassis power management, and adapts within seconds as conditions change.
Power telemetry. Own the pipeline for high-frequency power data from GPUs, NICs, chassis and BMCs (Redfish/IPMI), PDUs, and facility systems, with the latency, accuracy, and handling of stale or missing data that a control system requires.
Power modeling and forecasting. Work out how much power each site, row, and rack really needs, where capacity is sitting idle, and how sure we are of those numbers, using live telemetry and simulation instead of nameplate ratings.
Workload energy profiling. Understand how real training and inference workloads use energy (throughput, latency, performance per watt), find where power is spent without improving results, and turn that into efficiency policies.
Simulation and trace replay. Build tools that replay production power and workload traces so policy changes can be validated offline before they control production power.
Shadow-to-production rollout. Run DPM in shadow mode first, computing recommendations in production and comparing them to actual usage, and turn on automated management only once the system has earned trust.
Safety and failure design. Define fail-safe defaults, behaviour on stale telemetry, limits on how quickly settings change, audit trails, and verification that every adjustment had the intended effect.
Capacity decisions. Connect DPM to capacity planning and VM placement
Metrics and tradeoffs. Decide how DPM’s success is measured, from compute delivered per megawatt to performance per watt, and show engineering, energy, finance, and leadership what each policy choice gains and costs.
Cross-functional leadership. Work with data center electrical and mechanical engineering, the energy team, capacity planning, and hardware vendors (e.g. NVIDIA) on interfaces, constraints, and roadmaps. Lead design reviews and mentor engineers across teams.
What You’ll Bring to the Team
10+ years of industry experience (or 8+ with clear technical leadership) building and operating distributed systems in production, including leading a system from design through launch.
Experience building control systems or closed-loop automation where wrong outputs have physical or financial consequences, such as autoscalers, admission control, rate limiting, power or thermal management, or industrial control software.
Experience turning forecasting or simulation work into production services that other systems depend on, not one-off analyses.
Depth with high-volume time-series telemetry: ingestion, aggregation, and reasoning about staleness, gaps, and measurement error.
Fluency in Go or Rust.
Comfort working directly with hardware and facility teams, and the ability to read an electrical one-line diagram or learn to quickly.
The ability to explain a technical risk to senior engineering and business leaders in megawatts, dollars, and customer impact, and to change a decision with it.
Strong written design skills. This role writes the RFCs others build from.
A commitment to Crusoe’s company values.
Bonus Points
GPU energy management: NVIDIA DCGM/NVML, NVIDIA DPS, or AMD equivalents.
Integration with BMCs (Redfish), PDUs, building management (BMS), or electrical power monitoring (EPMS) systems.
Experience running large GPU or HPC fleets, or working on data center energy or capacity planning.
Comfort with optimization and probabilistic methods for allocating scarce resources under risk, such as constraint solvers or failure analysis.
Experience putting a dollar value on infrastructure choices, such as stranded power, build-out timing, or hardware utilization.
Energy optimization software for generation, battery storage, or large grid-connected sites.
Workload-aware scheduling with Kubernetes or Slurm.
Predictive scaling or load forecasting at scale.
Benefits
Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location
Compensation Range
Compensation will be paid in the range of up to $215,000 - $260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
