Crusoe

Staff Software Engineer, Managed AI

San Francisco, California, United States

$120,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Data & AnalyticsIndustries

Requirements

Candidates should hold an advanced degree in Computer Science, Engineering, or a related field and have demonstrable experience in distributed systems design and implementation. A proven track record of delivering early-stage projects under tight deadlines is essential, along with expertise in using cloud-based services such as elastic compute and managed databases. Experience in Generative AI, familiarity with AI infrastructure, and proficiency in software engineering skills such as container runtimes and REST APIs are also required. Preferred qualifications include proficiency in Golang or Python, contributions to open-source AI projects, and performance optimizations on GPU systems.

Responsibilities

The Staff Software Engineer will lead the design and implementation of core AI services, including resilient fault-tolerant queues, model catalogs, and high-performance APIs. They will build and scale infrastructure to handle millions of API requests per second and optimize AI inference performance on GPU-based systems. The role involves collaborating closely with product management and other engineering teams, influencing architectural decisions, and contributing to open-source AI frameworks.

Skills

AI Inference
LLMs
System Design
Scalability
Fault Tolerance
Queues
Model Catalogs
Scheduling
API Design
Cloud Infrastructure

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Key Metrics

Denver, ColoradoHeadquarters
2018Year Founded
$1,082.2MTotal Funding
SERIES_DCompany Stage
Energy, AI & Machine LearningIndustries
201-500Employees

Benefits

Industry competitive pay
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Paid life insurance, short-term and long-term disability
Parental leave
Stock options in a fast-growing, well-funded technology company
Pet-friendly offices
Teladoc
401(k) with a 4% match
Unlimited time off
Cell phone reimbursement
Tuition reimbursement
Company paid commuter benefit; $100 per month
Calm

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.
Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.
Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.
The company offers scalable solutions for AI and high-performance computing needs.
Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.
Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.
AI-driven energy optimization can significantly reduce operational costs in data centers.

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