Crusoe

Senior AI Performance Engineer

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Hardware, Data & AnalyticsIndustries

Requirements

Candidates must have expertise in CUDA or OpenCL, with demonstrated experience developing CUDA kernels or equivalent technologies. Proficiency in Python is required for AI and performance optimization tasks. Experience with deep learning frameworks such as PyTorch or TensorFlow is necessary, along with a strong understanding of CPU and GPU architecture to analyze and optimize performance at the hardware level.

Responsibilities

The Senior AI Performance Engineer will optimize inference engines to improve performance and scalability. They will enhance scalable AI infrastructure by implementing optimizations that accelerate AI inference, impacting efficiency and revenue generation. The role involves developing and deploying CUDA kernels for deep learning workloads, conducting performance analysis to identify and resolve bottlenecks, and engaging with the AI research community to track developments and contribute to open-source projects. Additionally, the engineer will improve onboarding and documentation to streamline workflows and collaborate cross-functionally with AI researchers, engineers, and infrastructure teams.

Skills

CUDA
Deep Learning
Inference Engines
Performance Optimization
Scalable Inference
VLLM

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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