Director of Engineering, Flex Compute
Leads the architecture, production launch, and team buildout for a safety-critical flexible-compute control system that manages AI infrastructure power in coordination with utilities. Requires extensive software engineering and team leadership experience, distributed orchestration expertise, and knowledge of data-center power systems and grid programs.
About the job
Responsibilities
- Own the curtailment orchestration and decision layer, including grid-signal ingestion, staged shedding, and per-SKU power capping without silently dropping paid workloads.
- Deliver a utility-validated pilot with fast ramp to setpoint, tight accuracy, high-fidelity telemetry, and a pre-commitment test harness.
- Build dynamic power management for oversubscription and workload-aware GPU power estimation validated against fleet telemetry.
- Design authenticated signal ingress, bounded blast radius, fail-safe defaults, and manual backstops for safety-critical operation.
- Own graceful ride-through of power-loss and grid-stress events, integrated with battery and generation backstops.
- Partner with Data Center Engineering and Energy teams on interconnection commitments, curtailment programs, and BESS/generation integration.
- Integrate with cloud control planes across Kubernetes and Slurm fleets.
- Make build-versus-leverage decisions across vendor power-management and grid-integration stacks.
- Hire and lead the engineering team from the ground up while keeping headcount sublinear to fleet growth.
Requirements
- 12+ years of software engineering experience, including 5+ years leading engineering teams.
- Experience taking systems from 0-to-1 through production scale.
- Deep experience with distributed control planes, orchestration, or fleet automation.
- Experience with safety-critical or physically actuating systems with bounded worst-case failure modes.
- Working knowledge of data-center power systems, including utility interconnection, switchgear, UPS, BESS, rack/PDU distribution, power telemetry, and GPU power management.
- Experience with energy markets or grid programs such as demand response, curtailable-load tariffs, or ISO/RTO market signals.
- Strong build-versus-buy judgment and comfort making decisions with incomplete data.
- Track record of hiring senior engineers and operating systems that must not fail silently.
Nice-to-haves
- GPU cluster operations or AI cloud infrastructure experience.
- Energy-sector experience in power generation, storage, utility software, or grid-scale controls.
- GPU power/performance modeling, DVFS, or productionizing research prototypes.
- Checkpointing, preemption, or power-aware scheduling for large training jobs.
Compensation & Benefits
- Compensation range of $285,000–$335,000 plus bonus.
- Restricted Stock Units included in all offers.
- Paid time off, paid holidays, and leave programs.
- Comprehensive health, dental, and vision insurance.
- Employer HSA contributions.
- Paid parental leave, life insurance, and short- and long-term disability coverage.
- Professional development and tuition reimbursement.
- Mental health and wellness support.
- Commuter benefits and cell phone stipend.
- 401(k) plan with company match up to 4% of salary.
- Volunteer time off, global travel insurance, emergency assistance, daily meal allowance, and location-specific programs.
Skills
Kubernetes, Slurm, Temporal, Distributed Systems, Control Planes, Fleet Automation, Grid Signals, Utility Interconnection, Switchgear, Ups, Bess, Gpu Power Management, Power Telemetry, Dvfs, Demand Response
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