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Engineering Manager, AI Platform - Managed AI
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Crusoe Energy·San Francisco, CA - US·13 авг.

Engineering Manager, AI Platform - Managed AI

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Наша компания

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

О роли

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 partne

Чем предстоит заниматься

As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the design and implementation of highly scalable, fault-tolerant infrastructure
You will lead a team of high-caliber engineers, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization, where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally
This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence

Наши требования

Leadership Experience
3+ years managing/leading high-performing engineering teams
Ability to lead teams through ambiguity and align on complex technical goals
Proven success hiring, developing, and retaining talent
Technical Depth
Hands-on experience with distributed and concurrent systems or AI infrastructure
Deep knowledge of cloud-native environments, container orchestration, and SOAs
Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus
Product & Delivery Focus
Comfortable owning deliverables from design through production
Strong collaboration skills, prioritizing clarity, context, and customer impact
Experience in fast-paced startup or growth-stage environments
Background in Computer Science, Engineering, or a related technical field
Proficiency in Python/GoLang/Rust
Experience with Kubernetes, gRPC, and observability stacks
Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton)
Personal Attributes
Growth-minded leader who leads and empowers others
Excellent communicator and relationship builder
Passionate about building world-class AI infrastructure and teams

Мы предлагаем

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 $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

Дополнительно

Team Leadership & Strategy
Lead, mentor, and grow a team of high-caliber software engineers on Crusoe’s
Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability
Cultivate a high-performance, collaborative engineering culture grounded in technical excellence
Technical Execution
Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc
Ensure delivery of scalable systems capable of handling millions of API requests per second
Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure
Collaboration and Influence
Work cross-functionally with Product, Infrastructure, and GTM stakeholders
Represent Engineering in strategic discussions to influence AI platform growth and customer adoption
Promote knowledge sharing, technical mentorship, and the evolution of engineering processes
C
Crusoe Energy
San Francisco, CA - US

ГрейдMiddle
ЗанятостьПолная занятость
РегионНе Россия
ФорматОфис
ИсточникСкрыто
Опубликовано13 авг.
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