USADirector of Engineering, Flex Compute
6 дн. назад
USADirectorOnsite
Lead engineering efforts at to build AI infrastructure with an energy-first approach.
Обязанности
- Power, not silicon, is the binding constraint on AI infrastructure. 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.
Будет плюсом
- GPU cluster operations or AI cloud infrastructure experience
- Prior work in the energy sector: power generation, storage, utility software, or grid-scale controls
- Background in GPU power/performance modeling, DVFS, or turning research prototypes into production systems
- Experience with checkpoint/preemption for large training jobs or power-aware scheduling
Условия
- 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 will be paid in the range of up to $285,000 - $335,000 + 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.
- 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.
Другое
- 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 , 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 .
- 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
- 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, switchgear/UPS/BESS, rack/PDU distribution, power telemetry, and GPU power management
- Experience with energy markets or grid programs demand response, curtailable-load tariffs, ISO/RTO market signals (e.g., ERCOT, PJM, CAISO) or demonstrated speed to fluency in them
- Strong build-vs-buy judgment and comfort deciding with incomplete data
- A record of hiring senior engineers and running healthy operations for systems that must never fail silently