AI Hiring Index

Crusoe · Infrastructure · Lead / Manager · Posted 2026-08-24

Director of Engineering, Flex Compute

Crusoe · San Francisco, CA - US; Sunnyvale, CA - US · $285k–335k base

This range's midpoint is above 88% of posted infrastructure ranges at AI companies right now. See the salary index.

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About the Role:

Power, not silicon, is the binding constraint on AI infrastructure. Crusoe is vertically integrated from electrons to tokens; generation, batteries, controls, and the cloud orchestration layer which means we can credibly commit flexible load to utilities and deliver on it. No other AI cloud can.

Flexible Compute is the system that makes that real: reducing data-center power draw on demand quickly, reliably, verifiably — while protecting the workloads that matter most. It gets us megawatts sooner, earns more per megawatt, and rides through grid-stress events without breaking SLAs.

You'll operate at the seam between one of the industry's fastest-growing energy footprints and the software that controls it. This is a utility-facing, safety-critical control system, and a ground-up build. You’ll define the architecture, ship the first production system, and build the team from scratch.

What You'll Be Working On:

- Own the curtailment orchestration and decision layer: grid-signal ingestion, staged shedding, per-SKU power capping without ever silently dropping a paid workload

- Land a utility-validated pilot: fast ramp to setpoint, tight accuracy, high-fidelity telemetry, and the test harness that proves it before we commit to a utility

- Deliver dynamic power management for oversubscription — more GPUs per megawatt with no customer-visible impact

- Build fast, workload-aware GPU power estimation, validated against fleet telemetry : the engine behind shed forecasting, oversubscription admission, and power planning for new silicon

- Design for safety: authenticated signal ingress, bounded blast radius, fail-safe defaults, manual backstops

- Own graceful ride-through of power-loss and grid-stress events, integrated with on-site battery and generation backstops

- Partner deeply with Data Center Engineering (mechanical, electrical, controls) and Energy teams on interconnection commitments, curtailment program design, and BESS/generation integration.

- Integrate with our cloud control plane across Kubernetes and Slurm fleets : one control plane, not two

- Make build-vs-leverage calls across vendor power-management stacks and grid integration layers

- Hire and lead the team from the ground up, keeping headcount sublinear to fleet growth through automation

What You'll Bring to the Team:

- 12+ years in software engineering, including 5+ leading engineering teams, ideally taking a system from 0→1 to production scale

- Deep experience with distributed control planes, orchestration, or fleet automation (e.g., Temporal, Kubernetes, Slurm)

- A track record with safety-critical or physically-actuating systems, where a misfire has a bounded, designed-for worst case

- Working knowledge of data-center power systems: utility interconnection, switch …

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See also: Engineering Manager jobs · AI jobs in San Francisco Bay Area · Crusoe salaries · Slurm jobs · Kubernetes jobs.

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