Crusoe Energy Systems Logo

Crusoe Energy Systems

Senior Staff Software Engineer, Managed AI

Sorry, this job was removed at 04:12 p.m. (PST) on Wednesday, Feb 25, 2026
Be an Early Applicant
Hybrid
Sunnyvale, CA
Hybrid
Sunnyvale, CA

Similar Jobs

An Hour Ago
In-Office or Remote
San Francisco, CA, USA
181K-283K Annually
Senior level
181K-283K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead a team of designers to enhance the AI-driven product and brand experience for Rovo, focusing on user experience and collaboration with cross-functional teams. Manage and mentor designers while driving multiple AI initiatives from concept to execution.
Top Skills: Ai ToolsDesign
2 Hours Ago
In-Office or Remote
Irvine, CA, USA
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and implement AI-based tools for agentic systems, ensuring accuracy and efficiency while upholding ethical AI principles. Collaborate with cross-functional teams to translate AI advancements into production-ready capabilities.
Top Skills: Agentic FrameworksAIAutogenBedrockHugging Face TransformersLangchainLanggraphMlNatural Language ProcessingNlpOpenai ApiReinforcement LearningVertex Ai
2 Hours Ago
In-Office or Remote
San Diego, CA, USA
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The role involves designing and developing software applications, ensuring high-performance enhancements, compliance with protocols, and post-deployment support while leveraging AI tools for productivity improvement.
Top Skills: .NetAWSAzureC#CSSFastapiHTMLJavaScriptMongoDBPythonReactTypescript

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role:

As a Senior Staff Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.

From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.

What You’ll Be Working On:

  • Design and Development:

    • Lead the design and implementation of core AI services, including:

      • Resilient fault-tolerant queues for efficient task distribution.

      • Model catalogs for managing and versioning AI models.

      • Scheduling mechanisms optimized for cost and performance.

      • High-performance APIs for serving AI models to customers.

  • Scalability and Performance:

    • Build and scale infrastructure to handle millions of API requests per second.

    • Optimize AI inference performance on GPU-based systems.

    • Implement robust monitoring and alerting to ensure system health and availability.

  • Collaboration and Innovation:

    • Collaborate closely with product management, business strategy, and other engineering teams.

    • Influence the long-term vision and architectural decisions of the AI platform.

    • Contribute to open-source AI frameworks and participate in the AI community.

    • Prototype and iterate on new features and technologies.

What You’ll Bring to the Team:

  • Strong Engineering Fundamentals:

    • Advanced degree in Computer Science, Engineering, or a related field.

    • Demonstrable experience in distributed systems design and implementation.

    • Proven track record of delivering early-stage projects under tight deadlines.

    • Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.

  • AI/ML Expertise:

    • Experience in Generative AI (Large Language Models, Multimodal).

    • Familiarity with AI infrastructure, including training, inference, and ETL pipelines.

  • Software Engineering Skills:

    • Experience with container runtimes (e.g., Kubernetes) and microservices architectures.

    • Experience using REST APIs and common communication protocols, such as gRPC.

    • Demonstrated experience in the software development cycle and familiarity with CI/CD tools.

  • Preferred Qualifications:

    • Proficiency in Golang or Python for large-scale, production-level services.

    • Contributions to open-source AI projects such as VLLM or similar frameworks.

    • Performance optimizations on GPU systems and inference frameworks.

  • Personal Attributes:

    • Proactive and collaborative approach with the ability to work autonomously.

    • Strong communication and interpersonal skills.

    • Passion for building cutting-edge AI products and solving challenging technical problems.

Benefits:

  • Industry competitive pay

  • Restricted Stock Units in a fast growing, well-funded technology company

  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

  • Employer contributions to HSA accounts

  • Paid Parental Leave

  • Paid life insurance, short-term and long-term disability

  • Teladoc

  • 401(k) with a 100% match up to 4% of salary

  • Generous paid time off and holiday schedule

  • Cell phone reimbursement

  • Tuition reimbursement

  • Subscription to the Calm app

  • MetLife Legal

  • Company paid Commuter FSA benefit of $200 per month

Compensation:

Compensation will be paid up to $259,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe 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.

Crusoe Energy Systems San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account